Prof. Evgeny Khorov
Institute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences, Russia

Biography: Evgeny Khorov received his BS and MS degrees with honors from Moscow Institute of Physics and Technology (MIPT) in 2008 and 2010, respectively, the Ph.D. degree in Telecommunications from Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS) in 2012, and the D.Sc. degree in Telecommunications from MIPT in 2022. In 2015 he studied Wireless Internet of Things as a Visiting Research Fellow in King's College London. Currently, Evgeny Khorov is the Head of Wireless Networks Lab established within a Megagrant Project at IITP RAS. Also, he has led the Intelligent Telecommunication Systems Lab at MIPT and the Telecommunication Systems Lab at Higher School of Economics (HSE). Evgeny Khorov has developed numerous mathematical models of networking protocols and designed several algorithms and protocols described in over 200 papers, some of which received Best Demo Award from ACM Mobihoc (2022), Best Paper Awards from IEEE ISWCS (2012), Elsevier Computer Communications (2018), and IEEE PIMRC (2019). Evgeny Khorov has also received the Moscow Government Prize for Young Scientists (2013), Russian Government Prize in Science and Technology for Young Scientists (2016), and Scopus Award Russia (2018).

Evgeny has led many national and international projects sponsored by academia foundations (RSF, RFBR, Ministry of Science and Higher Education) and industry. For breakthrough results of the joint industrial projects, he was awarded as the Best Cooperation Project Leader many times. Evgeny Khorov is also a voting member and contributor of IEEE 802.11 that develops and standardizes Wi-Fi. He designed several improvements included in the 802.11ax standard, aka Wi-Fi 6. He also initiated activities in 802.11 towards the support of real-time applications, which is currently a target for 802.11be, aka Wi-Fi 7.

Evgeny Khorov serves as the Editor-in-Chief of “Problems of Information Transmissions” since 2024. Also, he is a recipient of the Ad Hoc Networks Editor ot the Year 2020 Award. Evgeny gives keynotes & tutorials and participates in panels at large conferences (incl. IEEE BlackSeaCom 2024 and 2017, EnT 2023, DCCN 2023, IEEE Standards Summit 2022, IEEE PIMRC 2019 and 2017, IEEE Globecom 2017, IEEE ICC 2016, ISWCS 2014, NEW2AN 2018 and 2021). He is a TPC Chair of the IEEE Globecom 2018 Workshop on Cloudified Architectures for 5G and beyond Systems, IEEE BlackSeaCom 2019, Executive Chair of WiFlex 2013. He serves as an expert of Russian Academy of Sciences, member of the Telecommunication Scientific Counsil of the Russian Academy of Sciences, and a member of Expert Council of the Russian Science Foundation, and Vice-Chair of IEEE Russia.

 

Prof. Liang Wu
Southeast University, China

Biography: Liang Wu (Senior Member, IEEE) received his B.S. (2007), M.S. (2010) and Ph.D. (2013) degrees all from School of Information Science and Engineering, Southeast University, Nanjing, China. From Sept. 2011 to Mar. 2013, he was with the School of Electrical Engineering and Computer Science, Oregon State University as a visiting Ph.D. student. In Sept. 2013, he joined the National Mobile Communications
Research Laboratory, Southeast University, Nanjing China. Since Apr. 2024, he has been a full professor in Southeast University. His research interests include multiple-antenna techniques, interference coordination, optical wireless communication systems, and wireless localization systems.

Prof. Pascal Lorenz
University of Haute-Alsace, France

Speech Title: Architectures of Next Generation Wireless Networks

Abstract: Internet Quality of Service (QoS) mechanisms are expected to enable wide spread use of real time services. New standards and new communication architectures allowing guaranteed QoS services are now developed. We will cover the issues of QoS provisioning in heterogeneous networks, Internet access over 5G networks and discusses most emerging technologies in the area of networks and telecommunications such as IoT, SDN, Edge Computing and MEC networking. We will also present routing, security, baseline architectures of the inter-networking protocols and end-to-end traffic management issues.

Biography: Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.

Prof. Si-Ping Gao
Nanjing University of Aeronautics and Astronautics, China

Biography: Si-Ping Gao (Senior Member, IEEE) received the B.Eng., M.Eng. and D.Eng. degrees in electronic engineering from the Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2007, 2009, and 2013, respectively.
From 2010 to 2012, he was a Doctoral Exchange Student at the Nanyang Technological University, Singapore, funded by the Chinese Scholarship Council. He joined the High Performance Computing (IHPC), A*STAR, Singapore, first as a Scientist I and was promoted to Scientist II on a fast track. In 2017, he served as a Visiting Scholar at the University of L’Aquila, Italy. From 2017 to 2022, he was a Research Fellow in the Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore. Thereafter, he joined AMD, Singapore, as a Senior SI/PI Engineer, concurrently holding a position of Adjunct Assistant Professor at ECE, NUS. Since 2024, he has been with the College of Integrated Circuits, NUAA, as a Full Professor. He became the Head of Department of Analog Integrated Circuit and System and the Director of Center for Advanced RF IC and System, NUAA in 2025. He has more than 15 years of research experience in the area of EMC/SI/PI. He has authored more than 110 refereed papers/book chapters. He holds several patents. His research interests include computational electromagnetics, EMC/EMI, SI/PI for high-speed electronics, chiplet interconnection, microwave ferrite devices, novel 2D shielding materials, and next-generation on-chip plasmonic interconnects.
He received the Young Professional Award from the IEEE EMC Society (EMC-S) in 2021, the IEEE Signal and Power Integrity Young Investigator Training Program Award in 2017, the URSI GASS Young Scientist Award in 2017, and the Outstanding Young Scientist Award at the 2018 Joint IEEE EMC & APEMC Symposium. He won the Best Symposium Paper Award from the Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC) in 2016 and the Best Paper Award from the IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP) in 2020. He served as the TPC Chair of ACES-China 2026 and IEEE MTT-S IMWS-AMP 2025, a TPC Co-chair of IEEE MTT-S IMWS-AMP 2021 & 2026, a TPC Co-chair of IEEE International Workshop on Advanced Interconnects (WAI 2025), the Technical Paper Chair of APEMC 2022. He is a Distinguished Lecturer of IEEE EMC-S (2026-2027) and a Guest Editor of IEEE TRANSACTIONS on MICROWAVE THEORY and TECHNIQUES (2025) and a Distinguished Reviewer of IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY (2023, 2024). He has served the IEEE EMC Singapore Chapter since 2016 in various roles, including Secretary, Treasurer, and Chapter Chair. Under his leadership, the Chapter won IEEE EMC-S Chapter-of-the-Year Award in 2021.

Prof. Yanli Xu
Shanghai Maritime University, China

Biography: Yanli Xu, a professor and associate Dean at the School of Information Engineering, Shanghai Maritime University. She graduated from Southeast University in 2012 with a Information and Communication Engineering Ph. D. degree. Her current research interests focused on integrated space-air-ground-sea communication technology and edge computing. These technologies provide high reliability and low delay information transmission for Marine development, environment monitoring, shipping and marine security. Dr. Xu has published over 40 top-quality academic papers, and she has served as guest editor or TPC chair for well-known journals and conferences in the field. She has also been honored as Special Expert for Talent Work in Liaoning Province and the Pearl Plan of Shanghai Pudong New Area.

 

Prof. Jingjing Cui
Southwest Jiaotong University, China

Biography: Jingjing Cui (SM’18) is a Professor at the School of Information Science and Technology, Southwest Jiaotong University. She previously worked as a Research Scientist at Quantinuum in London and held research positions at Southampton, Queen Mary University of London, and Lancaster. Her research interests include classical and quantum optimization, airtificial intelligence algorithms for wireless communications, and quantum information technology.

 

Prof. Zhiming Chen
Shanghai Dianji University, China

Biography: Zhimin Chen received the Ph.D. degree from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2015. She is currently a professor at Shanghai Dianji University and the Vice Dean of the School of Electronic Information. From 2021 to 2022, she was a visiting scholar with the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong. Her research interests include array signal processing, vehicle communications, and millimeter-wave communications.

 

Assoc. Prof. Qiong Wu
Jiangnan University, China

Biography: Qiong Wu (Senior Member, IEEE) received the Ph.D. degree in information and communication engineering from National Mobile Communications Research Laboratory, Southeast University, Nanjing, China, in 2016. From 2018 to 2020, he was a postdoctoral researcher with the Department of Electronic Engineering, Tsinghua University, Beijing, China. He is currently an associate professor with the School of Internet of Things Engineering, Jiangnan University, Wuxi, China.

Dr. Wu is a Senior Member of IEEE and China Institute of Communications. He has published over 90 papers in high impact journals and conferences, and authorized over 30 patents. He was elected as one of the world's top 2% scientists in 2024 and 2022 by Stanford University. He has received the young scientist award for ICCCS'24 and ICITE’24. He won the high-impact paper of Chinese Journal of Electronics award. He has been awarded the National Academy of Artifical Intelligence (NAAI) Certified AI Senior Engineer, and was the excellent reviewer for Computer Networks in 2024. He has severed as the editorial board member, early career editorial board member, (lead) guest editor for over 10 Journals, as well as the TPC chair, Special Session Chair, workshop chair, TPC member and session chair for over 20 international Conferences. His current research interest focuses on vehicular networks, autonomous driving communication technology, and machine learning.

 

Assoc. Prof. Xiaojun Hei
Huazhong University of Science and Technology, China

Biography: Xiaojun received the B.Eng degrees in Information Engineering from Huazhong University of Science and Technology, Wuhan, P.R. China. He also obtained his MPhil. Degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology. Then, he received his Ph.D. degree in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. Starting from October 2008 till now, he has joined the School of Electronic Information and Communications, Huazhong University of Science and Technology, P.R. China. He is now an associate professor in the School of Electronic Information and Communications, Huazhong University of Science and Technology. Between September 2005 and September 2007, he worked on P2P networking in the Department of Computer and Information Science, Polytechnic University. He is co-author (with Yong Liu and Keith W. Ross) of the best paper in multimedia communications for 2008 by the Multimedia Communications Technical Committee of the IEEE Communications Society. He has been an internationally certified ISW facilitator since Jan. 2021. His current research interests include Artificial Intelligence Enabled Networking, Intelligent Healthcare, Robotic Applications, LLM Applications.

 

Assoc. Prof. Di Zhang
Sun Yat-sen University, Shenzhen, China

Speech Title: Secured Short Packet xURLLC Technologies for 6G Mission-Critical Applications

Abstract: Sixth-generation (6G) mission-critical applications such as low altitude economy, cooperative intelligent transportation systems (C-ITS), and industrial control impose unprecedented ultra-reliable low-latency communication (xURLLC) requirements on short packet communications (SPC), which invalidates the asymptotic Shannon capacity theory assuming infinite block-length. Existing wireless technologies also fail to address the coexistence challenges of ultra-low latency, ultra-high reliability, massive connectivity, and stringent security in 6G mission-critical applications.
In this talk, we present a comprehensive suite of secured SPC xURLLC technologies tailored for 6G mission-critical applications. We first introduce the precise channel estimation and tracking method and the low-complexity Weibull channel model to enable accurate and efficient channel state information (CSI) acquisition in high-mobility satellite-ground integrated networks. Then, we develop novel channel coding schemes, i.e., sparse vector coding with minimal CSI, partitioned analog fountain codes (PAFC) for rate-adaptive transmission, and iterative error reduction decoding (IERD) for low-complexity linear block code decoding. Furthermore, we design the sparse code multiple access (SCMA) codebook to support massive concurrent connections with improved spectral efficiency. Finally, we introduce endogenous security mechanisms to address security threats in xURLLC systems. This talk provides both theoretical and engineering insights for the development of 6G mission-critical applications.

Biography: Di Zhang is a Senior Member of the Chinese Institute of Command and Control, the China Institute of Communications, the Chinese Institute of Electronics and IEEE.
He has been honored with the Second Prize of Henan Provincial Scientific and Technological Achievements, 2025; the Second Prize of Henan Provincial Science and Technology Progress Award, 2024; the First Prize of Henan Provincial Science and Technology Progress Award, 2022 and Second Prize of the Sichuan-Chongqing Science and Technology Conference, 2021.
His primary research interests lie in short packet communication technologies and their applications. He is currently serving as an editorial board member or guest editor for over 10 journals, including Aerospace Technology, Communications Technology, KSII Transactions on Internet and Information Systems, and IEEE Wireless Communications. He was the co-chair of the Communication Theory Symposium at the 9th IEEE/CIC International Conference on Communications in China (ICCC), and has led the organization of multiple international academic workshops on short packet communications at flagship conferences including ICASSP 2023 and ICC 2022.

 

Assoc. Researcher Shuai Ma
Peng Cheng Laboratory, Shenzhen, China

Biography: Shuai Ma received the B.S. and Ph.D. degrees in communication and information systems from Xidian University, Xi'an, China, in 2009 and 2016, respectively. From 2014 to 2015, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. From 2016 to 2019, he has been an associate Professor with the School of Information and Control Engineering, at the China University of Mining and Technology, Xuzhou, China. From 2019 to 2022, he worked as a Postdoctoral Fellow with Telecom Paris, France. Since 2023, he has been an Associate Researcher at Peng Cheng Laboratory, Shenzhen, China. His research interests include semantic communications, visible light communications, and network information theory.

Assoc. Prof. Tianming Ma
Shanghai University of Engineering Science, China

Speech Title: Max-Min SINR Beamforming with BER Guarantee for RIS-Aided AFDM-NOMA Uplink under Mobile Interference over Doubly-Dispersive Channels

Abstract: Affine frequency division multiplexing (AFDM) provides robust performance in high-mobility communication scenarios, yet it suffers from severe path-loss degradation in obstructed doubly-dispersive links, especially under non-line-of-sight (NLoS) conditions and in the presence of a mobile interference source (MIS). This work proposes a reconfigurable intelligent surface (RIS)-aided, non-orthogonal multiple access (NOMA)-based multi-user (MU) AFDM uplink network to mitigate these impairments. A max-min signal-to-interference-plus-noise ratio (SINR) beamforming framework with a bit error rate (BER) guarantee is formulated to jointly optimize RIS phase shifts, power allocation, and precoding. To solve this mixed-integer nonlinear programming problem, we develop an alternating optimization (AO) algorithm: the precoding and power allocation subproblem is convexified via quadratic transform and successive convex approximation (SCA), while the RIS phase shifts admit a closed-form solution via a coordinate-ascent strategy based on weighted phase alignment. Extensive numerical simulations validate our analysis, showing that the proposed strategy not only achieves superior max-min SINR performance and significantly improves system reliability (i.e., BER) compared to existing benchmarks, but also requires much lower SINR to reach the same BER level.

Biography: Tianming (Tian-Ming) Ma received Ph.D. degree from Shanghai institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China in 2012. He was a post-doctoral researcher and obtained the first-class general financial grant from the China Postdoctoral Science Foundation in Tsinghua University, Beijing, China from 2012 to 2014. Now he is an associate professor in the School of Electronic & Electrical Engineering (SEEE), Shanghai University of Engineering Science (SUES), Shanghai, China and serve as the leader of the intelligent wireless perception research team in SEEE. He has authored/co-authored over 60 journal/conference papers and held 10 Chinese authorized invention patents as the first inventor or as a mentor for graduate students, of which 3 have already achieved technology transfer. He is a member of IEEE ComSoc & IEEE SPS, a senior member of CIC, a senior member & life member of CIE, a life member of SCS, a council member of SHIE, and the main contact person of RISTA member units. He has served as an OC member/TPC member/Track Chair/Workshop Chair/Session Chair/Special Session Chair/Program Committee Chair/Publicity Chair/Financial Chair/Moderator/Invited Speaker of prominence academic conferences for more than 30 times and received Outstanding Organization Award. He has also served as an official reviewer for many domestic and international journals in the field of communications, such as IEEE TWC, IEEE TVT, IEEE CNCOMM, IEEE CL, IEEE SPL, CJE, JC, JXD, JEIT, JSEE, JCIN, JCUPT, etc. His current interests include 6G waveform modulation technologies & multiple access technologies.

 

Assoc. Prof. You You
Purple Mountain Laboratories, China

Biography: You You received the B.S. degree in Information Science and Engineering from Southeast University in 2012, and the M.S.E. degree in Communications and Signal Processing from the University of Leeds and Nanjing University of Science & Technology, in 2015 and 2016, respectively, and the Ph.D. degrees from the University of Leeds in 2021. He is currently an Associate Professor with the Purple Mountain Laboratories, Nanjing, China. His research interest is focused on algorithms and implementations for signal processing and communication systems. He has published more than 20 articles indexed in SCI and EI. He has applied for and received authorization for over 20 invention patents. He has served as Symposium Chair of ICSPS 2025, a Local Arrangement Chair for ICTC 2023, a Tutorial Speaker for IEEE APCCAS 2022, and a Session chair for ICCT 2022.

 

Assoc. Prof. Xiaoxu Zhang
Southwest Jiaotong University, China

Speech Title: Signal Processing and Learning for Next Generation Multiple Access in 6G

Abstract: Massive machine-type communications (MTC) focus on uplink access of large-scale users with bursty short-time transmissions. Orthogonal multiple access is impossible to support massive connectivity due to the limited radio resources. The use of grant-based random access protocols inevitably incur severe access latency and excessive signaling overhead. How to design effective and reliable wireless access techniques to support massive IoT is a meaningful and interesting topic. We adopt Sparse Bayesian Learning (SBL) approaches to solve the multi-user detection (MUD) problem for next generation multiple access in 6G. The MUD problem within a certain access slot is formulated as a Single Measurement Vector (SMV) model and efficiently solved via SBL-based methods. To further improve the MUD performance, we set up a Multiple Measurement Vector (MMV) model and develop block SBL-based MUD methods, by exploiting the temporal correlation of user activity over successive access slots. Simulation results show that the proposed SBL-based MUD algorithms achieve substantial performance gain over traditional ones.

Biography: Xiaoxu Zhang (associate professor, IEEE Senior Member) received her PhD degree in communication and information systems from University of Electric Science and Technology of China (UESTC) in 2019. From August 2017 to August 2018, she was with the department of Electrical and Computer Engineering, McGill University, as a visiting scholar. She joined the Southwest Jiaotong University (SWJTU) in 2019. Her main research areas are wireless communications, sparse signal processing, high mobility communications, Bayesian inference for data analysis, machine learning, and artificial intelligence. She is currently a reviewer for international journals and conference papers such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters and IEEE Vehicular Technology Conference.

 

Assoc. Prof. Shanxiang Lyu
Jinan University, China
Invited Speaker from Special Session 6

Biography: Shanxiang Lyu received his Ph.D. from Imperial College London in 2018. He is currently an Associate Professor at Jinan University, where he leads the Laboratory of Quantum and Post-Quantum Cryptography. He is a recipient of the Guangdong Provincial Excellent Young Talents Program and the 2021 CIE Information Theory Society Yong-Star Award. Dr. Lyu has served on the organizing and technical program committees of major international conferences such as IEEE ITW, Inscrypt, IEEE GLOBECOM, and IEEE VTC. He was the organizer of LatticeCC: Workshop on Lattice Coding and Crypto at Asiacrypt 2025. His research interests include lattice-based cryptography, secure communication systems, and the intersection of PQC and quantum technologies.

 

Assoc. Prof. Yongjoo Lee
Korea Advanced Institute of Science and Technology, Korea

Speech Title: Machine Learning for Communication Baseband Systems: Opportunities and Hardware Design Challenges

Abstract: Machine learning (ML) is opening new opportunities for communication baseband systems, where increasingly complex wireless environments challenge conventional model-based signal processing. ML-based approaches have shown strong potential in key baseband tasks such as decoding, detection, and channel estimation. However, their practical deployment remains challenging due to strict constraints on throughput, latency, energy efficiency, and hardware complexity. This talk will present representative examples of ML in communication baseband processing and discuss the associated hardware design challenges. Through selected case studies, the talk will highlight the importance of algorithm–hardware co-design for enabling efficient and practical ML-driven communication systems.

Biography: Youngjoo Lee received the B.S., M.S., and Ph.D. degrees in electrical engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea, in 2008, 2010, and 2014, respectively.
Since 2025, he has been with the School of Electrical Engineering, KAIST, Daejeon, Republic of Korea, where he is currently an Associate Professor. Prior to joining KAIST, he was with the Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium, from 2014 to 2015, where he worked on reconfigurable SoC platforms for software-defined radio systems. He was an Assistant Professor with the Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea, from 2015 to 2017, and a faculty member with the Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea, from 2017 to 2025.
His current research interests include algorithm-hardware co-design methodologies for application-specific processors, energy-efficient ML accelerators, advanced error-correction codes, and next-generation wireless systems.

 

Assoc. Prof. Limeng Dong
Northwestern Polytechnical University, China

Speech Title: Improving the communication and secure communication of cell-free network via reconfigurable intelligent surface.

Abstract: With the rapid development of mobile Internet, the problems of "cell edge effect" and "spectrum resource tension" faced by traditional cellular networks have become increasingly prominent. Cell-free (CF) networks break the cell boundary restrictions of cellular networks by virtue of the cooperative transmission of distributed access points (APs), and achieve uniform coverage and fair services. However, due to the random distribution of APs, the user data transmitted by APs is easily obscured by the ever-changing wireless environment, and coupled with the open nature of wireless channels, CF networks also face the threat of information eavesdropping. In recent years, reconfigurable intelligent surface (RIS) technology has emerged, which reshapes the wireless environment through amplitude and phase modulation of electromagnetic units, achieving dual improvements in spectrum efficiency and secure transmission in CF networks. However, existing related research has the problem of idealizing system modeling, such as not considering the power consumption of electromagnetic unit circuits in RIS, and setting the channel state Information (CSI) of eavesdroppers (Eve) in secure communication models to be perfectly obtained, which limits the practical application value of research results. This report introduces the latest research achievements of our team in empowering CF networks with RIS in the past two years, including how to improve the transmission performance of CF networks under limited RIS power supply and how to use active RIS to enhance network security transmission performance under non-ideal CSI conditions. The report focuses on introducing the research model, optimizing modeling, and algorithm design, as well as verifying the effectiveness of the proposed solution by presenting simulation results.

Biography: Limeng Dong, Associate Professor at the School of Electronics and Information Technology, Northwestern Polytechnical University. He Obtained bachelor's, master's, and doctoral degrees from the School of Electronics and Information Technology at Northwestern Polytechnical University in 2012, 2015, and 2019, respectively. From 2015 to 2017, he was an visiting doctoral student at the School of Electrical Engineering and Computer Science at the University of Ottawa in Canada. From 2019 to 2021, working as a postdoctoral researcher at the School of Information and Communication Engineering, Xi'an Jiaotong University. In 2024 and 2025, he was continuously selected for the list of "World’s Top 2% Scientists", which was jointly released by Stanford University and Elsevier in the United States. His main research directions are multi-antenna wireless physical layer security, cognitive radio communication technology, cell-free massive MIMO network technology, and reconfigurable intelligent surface assisted wireless communication theory.

Personal web page: https://teacher.nwpu.edu.cn/CC90E8FB89B1687AE053650A280AC773

 

Assoc. Prof. Wenchao Xia
Nanjing University of Posts and Telecommunications, China

Biography: Wenchao Xia received his B.S. degree in communication engineering and Ph.D. degree in communication and information systems from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2014 and 2019, respectively. From 2019 to 2020, he was a Postdoctoral Research Fellow with Singapore University of Technology and Design, Singapore. He is currently with the faculty of the Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications. His research interests include edge intelligence and mobile IoT.

He was a recipient of the IEEE Globecom Best Paper Award in 2016 and the IEEE JC&S Best Paper Award in 2022. He serves as an Associate Editor for the IEEE Wireless Communications Letters and IET Electronics Letters.

Assoc. Prof. Xuran Li
Shandong Normal University, China

Speech Title: Performance Tradeoff and Security Enhancement in ISAC Networks

Abstract: Integrated sensing and communication (ISAC) is a key enabler of future 6G networks, aiming to unify radar sensing and reliable communications on shared spectrum. However, practical deployment faces critical challenges including dynamic interference, mobility-induced signal degradation, and eavesdropping vulnerabilities. In this talk, I will present a unified ISAC framework that tackles these issues from three perspectives: interference prediction via stochastic geometry, mobility-resilient beamforming for UAV networks, and physical-layer security mechanisms that convert channel dynamics into anti-eavesdropping gains. The focus is on how to balance the inherent tradeoff among sensing, communication, and security, offering practical insights for secure and efficient ISAC system design.

Biography: Xuran Li is currently an Associate Professor at the School of Communication and Electronic Engineering, Shandong Normal University (SDNU), Jinan, China. He received his M.Sc. and Ph.D. degrees in 2015 and 2018, respectively, from the Faculty of Information Technology at the Macau University of Science and Technology (MUST). His research interests include wireless communication networks, wireless network security, and integrated sensing and communication (ISAC). He serves as the PI for one national-level and two provincial-level research projects. He has authored over 30 academic papers, with publications in top-tier journals such as IEEE JSAC and flagship conferences including IEEE ICC and IEEE Globecom. He is a member of both the Communication and Microwave Committee and the Aerospace Information Committee of the Shandong Institute of Electronics. He is a recipient of the Excellent Paper Award from the Chin. J. Internet Things (2022) and the Best Paper Award at IEEE CCAI 2025. He has delivered invited talks at academic conferences including IEEE WOCC 2025 and IEEE CCAI 2025. He serves as a Guest Editor for the journal Network and a reviewer for IEEE TIFS, IEEE TVT, IEEE IoT J, Digit. Commun. Netw., etc. He has also served as Session Chair for NCIC 2024, NCIC 2025, CCAI 2025, and CCAI 2026, and as a TPC Member for IEEE VTC-Fall 2023, IEEE VTC-Spring 2024, IEEE ISPA 2024, IEEE WCSP 2024, and IEEE ISPA 2025.

 

Assoc. Prof. Hoang Le
The University of Aizu, Japan

Biography: Hoang Le is currently an Associate Professor with the School of Computer Science and Engineering at the University of Aizu (UoA), Japan. His research interests are in the areas of optical wireless communications, satellite/vehicular networks, applied AI/ML, and network security-based quantum cryptography.

 

Associate Researcher Xinjiang Xia
Purple Mountain Laboratories, China

Speech Title: Distributed Transceiver Design and Duplex Mode Selection in Scalable CF-RAN with Network-assisted Free-duplex

Abstract: Cell-free radio access network (CF-RAN) with network-assisted free-duplex (NA-FD) architecture evolved from cell-free massive multiple input multiple output (CF-mMIMO) network unifies various operating modes, such as flexible duplex, hybrid duplex, and full duplex. For the distributed transceiver design and access point (AP) duplex mode selection, we consider the information constraints of each edge distributed unit (EDU), the transmit power constraints of each AP/user equipment (UE), and with the goal of maximizing the rate of system, we propose a partial distributed block coordinate descent (PDBCD) algorithm, which decouples the complex optimization problem into three subproblems for two-layer iterative solution. The algorithm distributes the computing tasks of the transceiver corresponding to the subproblems to EDUs for processing, approximates the centralized processing performance through iterative updating, fully utilizes the powerful computing resources of EDUs, and significantly reduces the computational pressure of cell-free cloud computing center (CCU). In addition, when solving the receiver subproblem, to reduce the signaling overhead, an inter-EDU information sharing mechanism is proposed, which realizes the dynamic balance between resource overhead and uplink performance. Then the PDBCD algorithm is combined with greedy search to quickly determine an optimal duplex mode, which further reduces the cross-link interference (CLI) effects in NA-FD systems.

Biography: Xinjiang Xia received the B.S. and M.S. degrees in communication and information systems from Hohai University, Nanjing, China, in 2009 and 2012, respectively, and the Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, in 2021. He is currently a Associate Researcher with the Purple Mountain Laboratories. From 2021 to 2024, he was a Postdoctoral Scholar with the Purple Mountain Laboratories, Nanjing. His research interests include cell free massive MIMO, signal processing, and full duplex.

 

Assoc. Prof. Linsong Du
Southwest Jiaotong University, China

Speech Title: Sensing Priority: A Novel Paradigm for Diverse Sensing Tasks in 6G ISAC Systems

Abstract: In future 6G Integrated Sensing and Communication (ISAC) systems, supporting diverse sensing tasks—from safety-critical collision avoidance to experience-oriented passenger monitoring—under limited resources presents a fundamental challenge. Undifferentiated resource allocation leads to inefficiency and risks. To address this, we propose "Sensing Priority" as a novel paradigm. This framework first introduces three priority partitioning schemes: Sensing Target-Based (STB), Sensing Zone-Based (SZB), and Sensing Behavior-Based (SBB), which classify tasks by target identity, geographic area, and behavioral patterns, respectively. We then develop a dual approach for priority assessment: a systematic Analytic Hierarchy Process (AHP) for interpretable expert-driven scoring and a data-driven AI model for dynamic, real-time adaptation. Finally, we establish a threshold-based, cross-domain resource allocation strategy. This strategy strictly prioritizes high-criticality tasks, such as ensuring the Cramér-Rao Bound for a Primary Sensing Target is met first, before optimizing for communication and lower-priority sensing needs. This holistic priority-based framework ensures the reliable execution of critical services while enhancing overall ISAC system efficiency.

Biography: Linsong Du is currently an Associate Professor with the School of Information Science and Technology, Southwest Jiaotong University, Chengdu. He received the M.S. and Ph.D. degrees in communication and information systems from the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, in 2018 and 2022, respectively. With over 30 peer-reviewed publications in IEEE flagship journals and conferences, including approximately 15 first-authored papers, his research focuses on integrated sensing and communication, reconfigurable intelligent surface-assisted interference suppression, full-duplex communications, and information-theoretic security. His first-author contributions appear prominently in IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Transactions on Vehicular Technology, He served as EDAS Co-Chair for IEEE PIMRC 2023 and actively reviews for IEEE Transactions on Communications, IEEE Wireless Communications Letters, and IEEE Communication Letters

Personal webpage: https://faculty.swjtu.edu.cn/dulinsong1/zh_CN/index.htm

 

 

Lecturer Li Yan
University of Electronic Science and Technology of China, China

Biography: Li Yan, Lecturer. She earned her Ph.D. from the University of Electronic Science and Technology of China, during which she was jointly Ph.D at the University of Alberta in Canada. After obtaining her doctorate, she worked for seven years at Huawei Technologies Co., Ltd., focusing on millimeter-wave-related algorithms and hardware design. She completed the fault tolerance theory and tape-out of an independently designed chip end-to-end, which was published in the journal JSSC for circuit design. In early 2024, she joined the University of Electronic Science and Technology of China as a lecturer, primarily engaged in teaching and research related to millimeter-wave sensing and communication integration, as well as low-power high-reliability hardware architecture. She has participated in or led multiple enterprise projects on sensing and communication integration, including those by China Mobile and Datang, as well as national key projects. Under her guidance, students won the second prize in the National Graduate Electronic Design Competition Final in 2024. She has published over 20 academic papers and applied for/invented more than 6 patents.

 

Lecturer Nannan Zhang
Shanghai University of Engineering Science, China

Speech Title: Cache-Assisted Integrated Sensing-Communication-Computation for Online Federated Learning: A Framework for Resource-Constrained Edge Networks

Abstract: This talk presents a cache-assisted integrated sensing-communication-computation (ISCC) framework for online federated edge learning (FEEL) in OFDM systems. Unlike conventional FEEL approaches that rely solely on real-time sensory data, our framework intelligently combines real-time samples with selectively cached historical data to enhance learning efficiency under limited cache and broadband channel constraints. We address two key challenges: concept drift in historical data, which degrades model relevance, and the coupled optimization of sensing, communication, and computation resources. A rigorous convergence analysis is conducted using first-order Taylor approximation, quantifying the impact of sensing SNR, quantization distortion, batch size, and concept drift. To maximize per-round loss reduction, we formulate a non-convex optimization problem under latency, energy, and cache constraints, and solve it via alternating optimization with closed-form solutions for power, RB, and batch size allocation. Extensive simulations on a human motion recognition task validate the theoretical convergence and demonstrate significant accuracy gains over baselines.

Biography: Nannan Zhang is currently a lecture with the School of Electronic and Electrical Engineering (SEEE), Shanghai University of Engineering Science (SUES), Shanghai, China. She received the B.S. degree from the Northeastern University, Shenyang, China, in 2016, and the Ph.D. degree from the Zhejiang University, Hangzhou, China, in 2024. From 2022 to 2023, she was a Visiting Student with the School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom. To date, she has authored over 10 academic papers, with publications in leading journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Cognitive Communications and Networking, and so on. She has actively participated in various academic conferences, chaired multiple sessions on 6G communications, and been honored with the Best Organization Award. Her research interests mainly focus on wireless edge caching for low-delay communications, integrated sensing-computation-computation, reconfigurable intelligent surface-assisted communications.

 

Asst. Prof. Haibo Wang
Southeast University, China

Speech Title: ORIS-Enabled Optical Communication and Sensing Integration: From Physical Modeling to Network Coordination

Abstract: Optical wireless communication provides abundant spectrum resources and high spatial resolution, while optical sensing enables fine-grained environmental perception. Integrating these functionalities within a unified optical framework is an important direction for future wireless systems. However, the strong directionality and line-of-sight dependency of optical signals impose fundamental constraints on coverage flexibility, alignment robustness, and multi-user support. Optical Reconfigurable Intelligent Surfaces (ORIS) offer a programmable mechanism for optical wavefront manipulation without altering the active transceiver structure. This talk presents our recent work on ORIS-enabled optical communication and sensing integration, structured from physical modeling to network coordination. We first develop array-based ORIS physical models and analyze their optical field transformation characteristics and efficiency limits. Based on these models, the impact of ORIS-assisted beam shaping, spatial diversity, and spatial multiplexing on communication reliability and sensing performance is systematically characterized under realistic propagation conditions. A unified analytical framework is established to capture the coupling among optical propagation, programmable surface control, and sensing feedback. Finally, multi-ORIS cooperative architectures are discussed, where distributed coordination and resource allocation mechanisms are designed for multi-user optical communication and sensing integration. The presented results provide a system-level understanding of ORIS-enabled optical integration and identify key challenges for scalable deployment.

Biography: Haibo Wang received the B.S., M.S., and Ph.D. degrees in Information and Communication Engineering from Southeast University, Nanjing, China. He is currently an assistant professor at Southeast University. His research focuses on optical reconfigurable intelligent surfaces (ORIS) and optical wireless communication systems, with particular emphasis on ORIS-assisted system modeling, optical field manipulation, and performance analysis. He has published 26 papers in leading IEEE journals, including IEEE Transactions on Wireless Communications, IEEE Journal of Lightwave Technology, and IEEE Transactions on Vehicular Technology.

 

Dr. Qianli Wang
Southwest Jiaotong University, China

Biography: Qianli Wang (Member, IEEE) received the B.S. degree in electronic and information engineering, M.S. degree in electronics and communication engineering and the Ph.D. degree in information and communications engineering from University of Electronic Science and Technology of China, in 2013, 2016 and 2020, respectively. Now he is an associate professor in the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. His research interests include estimation and detection theory, compressed sensing, radar signal processing, array signal processing, integrated sensing and communication. He has authored/co-authored over 30 journal and conference papers. He has served as TPC member of IEEE GLOBECOM and IEEE ICC. He has also served as reviewer for many top journals, such as IEEE TSP, IEEE TWC, IEEE TGRS, IEEE TCOM, IEEE TVT, etc.

 

Dr. Xixi Zhang
Hohai University, China
Invited Speaker from Special Session 7

Biography: Xixi Zhang (Member, IEEE) received the Ph.D. degree in information and communication engineering from the Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, in June 2025. She currently works at Hohai University, China. Her research interests include deep learning, neural architecture search, and its applications in signal recognition, cyber security, and Internet of Things.