The evolution of 6G wireless communication systems is pushing physical-layer design into a regime where signal processing algorithms and hardware implementation are tightly coupled. Extremely large antenna arrays, wideband and near-field propagation, OTFS waveforms for high-mobility scenarios, integrated sensing and communication, and AI-native transceivers all demand real-time processing under stringent constraints on interconnect bandwidth, memory hierarchy, energy consumption, and latency. A signal processing scheme that performs well in simulation but cannot be deployed within a given hardware and power envelope has limited system significance. Distributed baseband processing, algorithm-hardware co-design, and cross-layer optimization are therefore becoming essential to translate theoretical gains into implementable 6G systems. This special session aims to bring together novel contributions on signal processing and system implementation for wireless communication systems, covering algorithm redesign under implementation constraints, AI-native transceiver architectures, waveform-level realization, hardware imperfections, and experimental prototyping. It seeks to explore opportunities, challenges, and solutions for bridging the gap between advanced signal processing and practical 6G deployment.
6G无线通信系统的演进正将物理层设计推向信号处理算法与硬件实现深度耦合的阶段。超大规模天线阵列、极宽带与近场传播、面向高移动场景的OTFS波形、通感一体化以及AI原生收发机，均要求在互连带宽、存储层次、能耗和时延等严格约束下实现实时处理。一个在仿真中性能优越但无法在给定硬件与功耗包络内部署的信号处理方案，其系统意义有限。因此，分布式基带处理、算法—硬件协同设计以及跨层优化正成为将理论增益转化为可实施6G系统的关键。本次专题论坛旨在汇集无线通信系统信号处理与系统实现方面的新颖研究成果，涵盖实现约束下的算法重构、AI原生收发机架构、波形级实现、硬件非理想性以及实验原型验证，探索弥合先进信号处理与6G实际部署之间差距的机遇、挑战与解决方案。
我们诚征以下方向（包括但不限于）的高质量原创技术论文：
- Implementation-aware signal processing and fundamental limits | 面向实现的信号处理与基础极限
- Emerging wireless applications, including extremely large antenna arrays (ELAA), near-field communications (NFC), integrated sensing and communication (ISAC), high-mobility OTFS, AI-native air interface, distributed MIMO, and LEO satellite links | 新兴无线应用，包括超大规模天线阵列（ELAA）、近场通信（NFC）、通感一体化（ISAC）、高移动性OTFS、AI原生空口、分布式MIMO、低轨卫星链路
- State-of-the-art signal processing technologies, including channel estimation, MIMO detection, precoding, beamforming, equalization, compressed sensing, and tensor processing | 先进信号处理技术，包括信道估计、MIMO检测、预编码、波束成形、均衡、压缩感知、张量处理
- AI-native transceiver design, including deep learning, model compression, quantization, federated learning, and domain-specific accelerators | AI原生收发机设计，包括深度学习、模型压缩、量化、联邦学习、领域专用加速器
- Algorithm-hardware co-design, including interconnect bandwidth, memory hierarchy, fixed-point precision, parallelism, energy-latency tradeoffs, and real-time scheduling | 算法—硬件协同设计，包括互连带宽、存储层次、定点精度、并行度、能量—时延权衡、实时调度
- Innovative system architectures, including distributed baseband processing, cloud RAN, heterogeneous DSP/AI accelerators, and reconfigurable intelligent surfaces | 创新系统架构，包括分布式基带处理、云RAN、异构DSP/AI加速器、可重构智能表面
- Hardware imperfections and cross-layer design, including phase noise, IQ imbalance, nonlinearity, mutual coupling, calibration, and PHY-MAC interaction | 硬件非理想性与跨层设计，包括相位噪声、IQ不平衡、非线性、互耦、校准、PHY-MAC交互
- System-level simulation, prototyping, and experimentation, including SDR testbeds, hardware-in-the-loop validation, open-source platforms, and field trials | 系统级仿真、原型与实验验证，包括SDR测试床、硬件在环验证、开源平台、外场试验
Organizer: Dr. Yue Meng, Nanjing University of Information Science and Technology, China
Yue Meng, received the Ph.D. degree in Information and Communication Engineering from Xi'an Jiaotong University, Xi'an, China, in 2021. From November 2018 to November 2019, she was a visiting scholar at the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Since 2021, she has been with the College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China. Her research interests include broadband wireless communications, frequency synchronization and array signal processing. She has led multiple national-level and provincial/ministerial-level research projects. She has published more than 6 papers in academic journals and conference proceedings.
Co-organizer: Assoc. Prof. Huimei Han, Zhejiang University of Technology, China
Huimei Han is an Associate Professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. She received her Ph.D. degree from Xidian University, Xi’an, China, and has conducted academic visits at Florida Atlantic University, USA, Nanyang Technological University, Singapore, and University College London, UK. She was selected for the Zhejiang Provincial Young Elite Scientists Sponsorship Program and the Young Talent Program of Zhejiang University of Technology. Her research interests include multi-user access, intelligent detection, and the design and FPGA implementation of intelligent communication systems, including fluid antenna system (FAS)-assisted systems. She has led a project funded by the National Natural Science Foundation of China (NSFC), a sub-project of a key program, and a provincial/ministerial-level project, and has participated in several national research projects. She has published more than 20 papers as the first or corresponding author in leading journals, including IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Communications.
Co-organizer: Assoc. Prof. Jun Zhao, China Jiliang University, China
Jun Zhao received the M.S. degree in applied mathematics from Guilin University of Electronic Technology, Guilin, China, in 2020, and the Ph.D. degree in information and communication engineering from Tongji University, Shanghai, China, in 2024.,She is currently with the College of Information Engineering, China Jiliang University, China. Her research interests include target detection and tracking, array signal processing, radar signal processing, and automatic modulation recognition.
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