Overview of Special Sessions
Special Session I: Physical Layer Security (PLS) Communications for 6G Wireless Networks
Chair: Assoc. Prof. Tianming Ma, Shanghai University of Engineering Science, China
Vice-Chairs: Assoc. Researcher Shuai Ma, Peng Cheng Laboratory, Shenzhen, China
Assoc. Prof. Ruijin Sun, Xidian University, China
Assoc. Prof. Shuo Shao, University of Shanghai for Science & Technology, China
Dr. Nannan Zhang, Shanghai University of Engineering Science, China
Special Session II: Adaptive Intelligence in 6G Communications Systems
Chair: Prof. Honggang Zhang, Macau University of Science and Technology, Macau S.A.R, China
Vice-Chairs: Prof. Ying-Ren Chien, National Taipei University of Technology, ROC
Assoc. Prof. Pavel Loskot, Zhejiang University – University of Illinois Urbana Champaign Institute, China
Special Session III: When 6G Meets AIGC (6GAIGC): Paradigm Shifts in Future Media and Immersive Communications
Chair: Senior Lecturer William Liu, Wuhan University of Communications, China
Vice-Chairs: Prof. Shen Jiang, Beijing Normal University, China
Prof. Huawei Huang, Sun Yat-sen University, China
Senior Engineer Ming Xiang, South China Sea Marine Survey Center, Ministry of Natural Resources, China
Assoc. Prof. Wangping Jiang, Wuhan University of Communications, China
Special Session I 专题一
Physical Layer Security (PLS) Communications for 6G Wireless Networks / 6G无线网络中的物理层安全通信
 Chair |
Assoc. Prof. Tianming Ma 马天鸣 副教授 |
 Vice Chair |
Assoc. Researcher Shuai Ma 马帅 副研究员 |
 Vice Chair |
Assoc. Prof. Ruijin Sun 孙瑞锦 副教授 |
 Vice Chair |
Assoc. Prof. Shuo Shao 邵硕 副教授 |
 Vice Chair |
Dr. Nannan Zhang 张楠楠 讲师 |
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- The open integration, heterogeneous coexistence, and intelligent interconnection of 6G wireless networks make physical layer security (PLS) communication an unprecedented significant and challenging issue. 6G is envisioned to realize endogenous PLS communications, which starts from common and inherent security problems of wireless networks and can resist unknown PLS threats and integrate communication/security/services via structure-oriented solutions. In particular, PLS communications, which achieve information secrecy by exploiting intrinsic characteristics of wireless channels, provides an appealing security solution for 6G wireless networks. Besides, covert wireless communications (CWC) emerge as another promising technique to protect wireless privacy by hiding the existence of communication behavior from watchful adversaries. Although PLS communication has drawn significant research interest during the past decade, what role they will play for 6G wireless networks is an open issue. Plenty offurther research efforts are still needed to explore new paradigm and advanced solutions to achieve stronger PLS communications for 6G wireless networks.
6G无线网络的开放集成、异构共存和智能互联使物理层安全（PLS）通信成为一个前所未有的重大和具有挑战性的问题。6G旨在实现内生PLS通信，该通信从无线网络的常见和固有安全问题开始，可以抵抗未知的PLS威胁，并通过面向结构的解决方案集成通信/安全/服务。特别地，PLS通信通过利用无线信道的内在特性来实现信息保密，为6G无线网络提供了一种有吸引力的安全解决方案。此外，隐蔽无线通信（CWC）成为另一种有前景的技术，通过向警惕的对手隐藏通信行为的存在来保护无线隐私。尽管PLS通信在过去十年中引起了极大的研究兴趣，但它们将在6G无线网络中发挥什么作用仍是一个悬而未决的问题。仍需要大量进一步的研究工作来探索新的范式和先进的解决方案，以实现6G无线网络更强的PLS通信。
This workshop aims to bring together novel contributions to explore the opportunities, challenges, and solutions related to PLS communications for 6G wireless networks. We solicit high-quality original technical papers on the following topics but not limited to 本次研讨会旨在汇集新的贡献，探索与6G无线网络PLS通信相关的机遇、挑战和解决方案。我们就以下主题（但不限于）征求高质量的原创技术论文:
- • PLS communications with new research paradigm and fundamental limits
• PLS communications for emerging wireless systems, including ambient internet of things (AIoT), cell-free networks, edge computing/learning, body area network, cellular-vehicular-to-everything (C-V2X), unmanned aerial vehicle (UAV), low earth orbit (LEO), low altitude economy and integrated satellite-air-terrestrial-maritime networks
• PLS communications with state-of-the-art wireless technologies, including transmit and/or reflect reconfigurable intelligent surface (RIS), mobile management (MM), movable antenna (MA) and fluid antenna (FA), next-generation multiple access (NGMA), orthogonal time frequency space (OTFS), integrated sensing and communication (ISAC), near-filed communications (NFC), massive MIMO, mmWave/THz communications, semantic communication, and quantum communication
• PLS communications for wireless communication system design, including signaling, waveform, coding, modulation, beamforming, and propagation design
• PLS communications patterns with encryption, authentication, cryptography, blockchain, physical-layer security, covert communications, and quantum security
• PLS communications empowered by artificial intelligence (AI), including deep learning, reinforcement learning, machine learning, and federated learning
• Cross-layer architecture and design for PLS communications systems
• System-level simulation, prototyping, and experimentation on PLS communications - • 用于新兴无线系统的PLS通信，包括环境物联网（AIoT）、无蜂窝网络、边缘计算/学习、体域网、蜂窝车载万物互联（C-V2X）、无人机（UAV）、低地球轨道 （低地球轨道）、低空经济和综合卫星空海一体化网络
- • PLS通信采用最先进的无线技术，包括发射和/或反射可重构智能表面（RIS）、移动管理（MM）、可移动天线（MA）和流体天线（FA）、下一代多址（NGMA）、正交时频空间（OTFS）、通感一体化（ISAC）、近场通信（NFC）、大规模MIMO（mMIMO）、毫米波（mmWave）/太赫兹（THz）通信、语义通信和量子通信
- • 用于无线通信系统设计的PLS通信，包括信令、波形、编码、调制、波束成形和传播设计
- • PLS通信模式，包括加密、身份验证、密码学、区块链、物理层安全、隐蔽通信和量子安全
- • 人工智能（AI）支持的PLS通信，包括深度学习、强化学习、机器学习和联合学习 PLS通信系统的跨层架构和设计
- • PLS通信的系统级仿真、原型设计和实验
Special Session II 专题二
Adaptive Intelligence in 6G Communications Systems / 6G 通信系统中的自适应智能
 Chair |
Prof. Honggang Zhang / 张宏纲 教授 |
 Vice Chair |
Prof. Ying-Ren Chien / 钱膺仁 教授 |
 Vice Chair |
Assoc. Prof. Pavel Loskot / Pavel Loskot 副教授 |
|
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- The variety and volumes of data that are being generated within and outside the communication systems are growing rapidly as the new sensing modalities, generative AI and smart end-devices are being interconnected. This creates new requirements for designing and implementing the integrated communications and computing platforms within the 6G systems. In order to use the communication and computing resources effectively across wide range of environments, applications and space-time scales, the 6G systems must implement intelligence adaptation mechanisms that are solving many implicit and explicit optimization problems often involving multiple objectives with diverse sets of constraints. The main focus of this Special Session is to bring together contributions that outline and investigate optimization problems considered in designing and managing the 6G communication and computing systems. The topics of particular interest include, but are not limited to algorithmic solutions of the joint communication and computation problems that are performed using mixture of AI tools, machine learning techniques, and other more standard rules-based approaches combining model-free and model-based methods. The contributions can evaluate the efficiency and robustness, the worst-case scenarios, theoretical performance bounds, quantization schemes, convergence problems, adaptive at different space-time scales, distributing computations, saving the bandwidth and computations, lowering memory footprint, increasing achievable computing and/or communication throughput, reducing the energy consumption, overcoming hardware constraints, devising adaptive information representations, developing long-term adaptation policies, and similar.
The topics included but not limited to:
- • Model-based and model-free hybrid methods
- • LLM for 6G
- • adaptive algorithms
- • adaptive machine learning
- • computational efficiency
- • distributed computing for communications
- • joint computing and communications
- • adaptation policies
- • implementation issues
- • performance evaluations
- • multi-objective optimizations
- • operational effectiveness
Special Session III 专题三
When 6G Meets AIGC (6GAIGC): Paradigm Shifts in Future Media and Immersive Communications / 6G遇上AIGC(6GAIGC)：未来媒体与沉浸式通信的范式变革
 Chair |
Senior Lecturer William Liu, 刘志勇 高级讲师 |
 Vice Chair |
Prof. Shen Jiang 姜申 教授 |
 Vice Chair |
Prof. Huawei Huang 黄华威 教授 |
 Vice Chair |
Senior Engineer Ming Xiang 向鸣 高级工程师 |
 Vice Chair |
Assoc. Prof. Wangping Jiang 蒋汪萍 副教授 |
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- The convergence of 6G wireless networks and Artificial Intelligence Generated Content (AIGC) is poised to redefine the landscape of media communications, creating an unprecedented shift toward hyper-realistic and intelligent immersive experiences. While 6G is envisioned to provide the ultra-low latency, high bandwidth, and integrated sensing required for the next generation of media, AIGC introduces a revolutionary paradigm for automated, high-fidelity content creation.
The synergy between these two frontier technologies where the network (6G) meets the content (AIGC) which enables transformative applications across diverse sectors including news broadcasting, film production, performing arts, and interactive design. However, effectively integrating these technologies while addressing the technical constraints of wireless transmission and the quality of experience (QoE) for future media remains an open and challenging issue.
6G无线网络与生成式人工智能（AIGC）的融合正致力于重新定义媒体通信的格局，开启了一场向超现实和智能化沉浸式体验演进的史无前例的变革 。6G被预见将为下一代媒体提供所需的超低延迟、高带宽和集成感知能力 ，而AIGC则为自动化、高保真的内容创作引入了革命性范式 。
这两大前沿技术之间的协同——即网络（6G）与内容（AIGC）的交汇——将赋能包括新闻广播、电影制作、表演艺术和交互设计在内的多个领域的变革性应用 。然而，如何在解决无线传输技术限制和未来媒体体验质量（QoE）问题的同时，有效地整合这些技术，仍然是一个开放且极具挑战性的课题 。
This special session aims to bring together researchers, engineers, and creative technologists to explore the novel opportunities, architectures, and solutions at the intersection of 6G, AIGC, and future media. We solicit high-quality original technical papers on the following topics, but not limited to 本特别分会旨在汇聚研究人员、工程师和创意技术专家，共同探讨6G、AIGC与未来媒体交叉领域的最新机遇、挑战与解决方案 。我们现面向全球征集高质量原创技术论文，主题包括但不限于：
- • Foundational Paradigms for 6G-Enabled AIGC: Semantic communications for intelligent content delivery and fundamental limits of AIGC transmission over 6G.
• 6G-AIGC for Emerging Media Systems: Applications in holographic broadcasting, immersive journalism, and high-fidelity digital human anchors.
• Intelligent Performance and Arts: 6G-enabled Integrated Sensing and Communication (ISAC) for motion capture in dance and haptic-feedback for remote musical collaboration.
• Virtual Production and Cinematic Design: Edge-cloud synergy for real-time AI rendering in film production and 6G-driven cloud-native virtual sets.
• Spatial and Interactive Design: Multi-user collaborative AR/MR environments and AI-driven computational design within 6G networks.
• Advanced Wireless Technologies for Media: Leveraging reconfigurable intelligent surfaces (RIS), Terahertz (THz) communications, and massive MIMO for ultra-high-definition immersive media.
• System Design and Optimization: Waveform design, beamforming, and cross-layer architectures optimized for generative media traffic.
• Security and Trust in Future Media: Deepfake detection in 6G layers, blockchain for AIGC digital rights management, and privacy-preserving generative media.
• Sustainability and Efficiency: Green media computing and energy-efficient AIGC processing at the 6G edge.
• Prototyping and Evaluation: System-level simulations, testbeds, and new QoE metrics for evaluating AIGC-driven immersive experiences. - • 6G赋能AIGC的基础范式：用于智能化内容交付的语义通信，以及6G环境下AIGC传输的理论极限。
• 面向新兴媒体系统的6G-AIGC应用：全息广播、沉浸式新闻采访以及高保真数字人主播技术。
• 智能化表演与艺术：基于6G感通一体化（ISAC）的舞蹈动作捕捉，以及用于远程音乐协作的触觉反馈技术。
• 虚拟制作与电影设计：影视制作中的实时AI渲染云边协同，以及6G驱动的云原生虚拟片场。
• 空间与交互设计：6G网络下的多用户协作AR/MR环境，以及AI驱动的计算设计应用。
• 面向媒体的高级无线技术：利用重构智能表面（RIS）、太赫兹（THz）通信及大规模MIMO技术支撑超高清沉浸式媒体。
• 系统设计与优化： 针对生成式媒体流量优化的波形设计、波束赋形及跨层架构设计。
• 未来媒体的安全与信任： 6G物理层的深度伪造（Deepfake）检测、基于区块链的AIGC数字版权管理及隐私保护。v • 可持续性与效率：绿色媒体计算以及6G边缘侧的高效AIGC处理策略。
• 原型开发与评估：系统级仿真、试验床建设，以及用于评估AIGC驱动的沉浸式体验的新型QoE指标。
The special session will be kept updating 专题会议持续更新中……
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