As a potential technology feature for 6G wireless networks, the idea of sensing-communication integration requires the system not only to complete reliable multi-user communication but also to achieve accurate environment sensing. In this paper, we consider such a joint communication and sensing (JCAS) scenario, in which multiple users use the sparse code multiple access (SCMA) scheme to communicate with the wireless access point (AP). Part of the user signals are scattered by the environment object and reflected by an intelligent reflective surface (IRS) before they arrive at the AP. We exploit the sparsity of both the structured user signals and the unstructured environment and propose an iterative and incremental joint multi-user communication and environment sensing scheme, in which the two processes, i.e., multi-user information detection and environment object detection, interweave with each other thanks to their intrinsic mutual dependence. The proposed algorithm is sliding-window based and also graph based, which can keep on sensing the environment as long as there are illuminating user signals. The trade-off relationship between the key system parameters is analyzed, and the simulation result validates the convergence and effectiveness of the proposed algorithm.
Channel Estimation for Wideband MmWave MIMO OFDM System Exploiting Block Sparsity
本文研究了宽带毫米波MIMO OFDM系统的时域信道估计问题。通过传输频域导频符号以及不同的波束成形向量，我们观察到时域毫米波MIMO信道表现出信道延迟稀疏性，特别是不同空间方向之间的块稀疏性。然后，我们提出了一个时域信道估计利用块稀疏性（TDCEBS）计划，它总是旨在找到最好的非零块实现最大的投影的残差在每次迭代。特别地，我们使用5G New Radio推荐的用于生成宽带毫米波MIMO信道的ADDRiGa来评估系统性能。仿真结果验证了所提出的TDCEBS方案的有效性，所提出的方案优于现有的方案。
Distributed Integrated Sensing and Edge AI Exploiting Prior Information
School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）电子与信息工程学院）；College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications（南京邮电大学电信学院）
DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
Department of Microelectronics, Delft University of Technology（代尔夫特理工大学微电子系）；Ampleon Netherlands B.V.（阿姆佩隆荷兰公司）；Leiden Institute of Advanced Computer Science (LIACS), Leiden University（莱顿先进计算机科学研究所（LIACS），莱顿大学）；School of Electrical and Electronic Engineering, University College Dublin（都柏林大学学院电子与电气工程学院）
