5 citations · 9 across the 5 of their papers we have counts for
5 papers
Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning
Jie Zhang, Jun Li, Yijin Zhang +5
Intelligent reflecting surface (IRS) is envisioned to be widely applied in future wireless networks. In this paper, we investigate a multi-user communication system assisted by coo…
Active IRS Aided Multiple Access for Energy-Constrained IoT Systems
Guangji Chen, Qingqing Wu, Chong He +3
We investigate the fundamental multiple access (MA) scheme in an active intelligent reflecting surface (IRS) aided energy-constrained Internet-of-Things (IoT) system, where an acti…
Convergence analysis of the discrete consensus-based optimization algorithm with random batch interactions and heterogeneous noises
Dongnam Ko, Seung-Yeal Ha, Shi Jin +1
We present stochastic consensus and convergence of the discrete consensus-based optimization (CBO) algorithm with random batch interactions and heterogeneous external noises. Despi…
Low-Latency Federated Learning over Wireless Channels with Differential Privacy
Kang Wei, Jun Li, Chuan Ma +5
In federated learning (FL), model training is distributed over clients and local models are aggregated by a central server. The performance of uploaded models in such situations ca…
Joint Channel Assignment and Power Allocation for Multi-UAV Communication
Lingyun Zhou, Xihan Chen, Mingyi Hong +2
Unmanned aerial vehicle (UAV) swarm has emerged as a promising novel paradigm to achieve better coverage and higher capacity for future wireless network by exploiting the more favo…