This thesis aims towards performance enhancement for unmanned aerial vehicles (UAVs)
assisted internet of things network (IoT). In this realm, novel reinforcement learning (RL) …

Combining Intelligent Reflecting Surface (IRS) with Non-Orthogonal Multiple Access
(NOMA) technology is a viable option for increasing communication performance. Firstly, a …

With the rapid development of Internet of vehicles (IoV) technology, the distribution of
vehicles on the highway becomes more dense and the highly reliable communication …

Tandem RL Framework for Sum Rate Enhancement in NOMA-UAV Network Page 1 P osted
on 8 Aug 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.20406972.v1 — e-Prin ts p …

Cognitive Radio (CR) is an adaptable communication device driven by a Cognitive Engine
(CE). A suitable machine-learning strategy can increase the learning potential of CE. This …

The application of sparse code multiple access (SCMA) to multi-access edge computing
(MEC) networks can provide massive connections as well as timely and efficient …

针对智能电网中利用5G 网络承载多样化电力终端的业务需求, 提出了一种基于多智能体强化
学习的频谱分配算法. 首先, 基于智能电网中部署的集成接入回程系统, 考虑智能电网中轻量化和 …

FemtoCaching technology, aiming at maximizing the access probability of streaming media
transmission in heterogeneous cellular networks, is investigated in this paper. Firstly, five …

This paper focuses on the optimization of the phase shifts of an intelligent reflecting surface
(IRS) for an IRS-aided multiple input multiple output (MIMO) communication system …

In a distributed OFDMA network, wireless channel is divided into multiple time-frequency
resource block for transmission. Because there is no information interaction between nodes …