In this paper, a multipath component aggregation (MCA) mechanism is introduced for spatial scattering modulation (SSM) to overcome the limitation in conventional SSM that the transmit antenna array steers the beam to a single multipath (MP) component at each instance. In the proposed MCA-SSM system, information bits are divided into two streams. One is mapped to an amplitude-phase-modulation (APM) constellation symbol, and the other is mapped to a beam vector symbol which steers multiple beams to selected strongest MP components via an MCA matrix. In comparison with the conventional SSM system, the proposed MCA-SSM enhances the bit error performance by avoiding both low receiving power due to steering the beam to a single weak MP component and inter-MP interference due to MP components with close values of angle of arrival (AoA) or angle of departure (AoD). For the proposed MCA-SSM, a union upper bound (UUB) on the average bit error probability (ABEP) with any MCA matrix is analytically derived and validated via Monte Carlo simulations. Based on the UUB, the MCA matrix is analytically optimized to minimize the ABEP of the MCA-SSM. Finally, numerical experiments are carried out, which show that the proposed MCA-SSM system remarkably outperforms the state-of-the-art SSM system in terms of ABEP under a typical indoor environment.
Exploiting Movable Antennas for Multi-Target Wireless Sensing System in Multipath Environments
College of Information Science and Electronic Engineering, Zhejiang University（浙江大学信息与电子工程学院）；the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)（深圳未来网络智能研究所）；the Guangdong Provincial Key Laboratory of Future Networks of Intelligence（广东省未来网络智能重点实验室）
Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization
Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））；Southern University of Science and Technology（南方科技大学）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；Tsinghua University（清华大学）；Northeastern University（东北大学）；Southeast University（东南大学）；University College London（伦敦大学学院）；Yonsei University（延世大学）
Sensing-Assisted Channel Estimation for Flexible-Antenna Systems: A Unified Framework
The Hong Kong University of Science and Technology（香港科技大学）；Southern University of Science and Technology（南方科技大学）；The University of British Columbia（不列颠哥伦比亚大学）
University College London（伦敦大学学院）；Department of Electronic Engineering, Kyung Hee University（庆熙大学电子工程系）；Shanghai Jiao Tong University（上海交通大学）；Kuang-Chi Science Limited（光启科学有限公司）
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains
多输入多输出（MIMO）系统传输是一种流行的分集技术，用于提高通信系统的可靠性。当误比特率很低时，可以保证数据传输的可靠性。通常，在MIMO系统中的发送和接收部分都使用多个天线元件。MIMO系统在无线信道中使用天线分集或空间分集编码系统，因为无线信道严重遭受多径衰落，其中发送的信号在到达目的地或接收部分之前沿着各种多径反射。还实现了MIMO系统的并行传输，其中原始检测数据序列的实部和虚部以及相应的接收数据序列都被图形化地描述。当发射机硬件的损伤程度（Level of Impairments in Transmitter Hardware，Kappa）从0.02减小到0.005时，MIMO信道平均容量在不同损伤程度下都能达到80%以上。在确定性衰落信道和非相关瑞利衰落信道下，分别观察到有限信噪比复用增益（MIMO系统容量与SISO系统容量之比）。核心区别在于高SNR水平。这可能有两个原因：（a）在收发器损伤下更快地收敛到极限;（b）当发射天线的数量大于接收天线的数量时，建立在传播环境的数字架构图或地形图上的确定性信道获得优于复用增益的渐近增益。
Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation
Department of Electrical and Computer Engineering, University of North Carolina at Charlotte（北卡罗来纳大学夏洛特分校电气与计算机工程系）；Electrical Engineering Department, Faculty of Engineering, Alexandria University（亚历山大大学工程学院电子工程系）
