[PDF][PDF] Tandem RL framework for sum rate enhancement in NOMA-UAV network
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 …
on 8 Aug 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.20406972.v1 — e-Prin ts p …
A deep reinforcement learning scheme for SCMA-based edge computing in IoT networks
P Liu, J Lei, W Liu - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
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 …
(MEC) networks can provide massive connections as well as timely and efficient …
智能电网中基于多智能体强化学习的频谱分配算法
燕锋， 林晓薇， 李正浩， 徐霞， 夏玮玮， 沈连丰 - 通信学报, 2023 - infocomm-journal.com
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 …
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 …
Access probability optimization for streaming media transmission in heterogeneous cellular networks
J Jia, L Xia, P Ji, J Chen, X Wang - Wireless Networks, 2022 - Springer
FemtoCaching technology, aiming at maximizing the access probability of streaming media
transmission in heterogeneous cellular networks, is investigated in this paper. Firstly, five …
transmission in heterogeneous cellular networks, is investigated in this paper. Firstly, five …
Intelligent Reflecting Surface Optimization for MIMO Communication Using Deep Reinforcement Learning
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 …
(IRS) for an IRS-aided multiple input multiple output (MIMO) communication system …
Resource allocation in OFDMA networks with deep reinforcement learning
J Liu, X Ma, W Han, L Wang - 2020 IEEE 8th International …, 2020 - ieeexplore.ieee.org
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 …
resource block for transmission. Because there is no information interaction between nodes …
Twin Delayed DRL Approach for Resource Allocation in Multi-User NOMA Systems
Nonorthogonal multiple access (NOMA) technology shows the potential for improving
spectral efficiency and enables massive connectivity in future wireless networks. Unlike …
spectral efficiency and enables massive connectivity in future wireless networks. Unlike …
Energy efficiency optimization in downlink NOMA-enabled fog radio access network based on deep reinforcement learning
In this era of Internet of Everything (IoE) and rapid development of mobile wireless
communication technology, time delay and spectrum efficiency are difficult to achieve in the …
communication technology, time delay and spectrum efficiency are difficult to achieve in the …
Channel-Occupation-Aware Resource Allocation in LoRa Networks: a DQN-and-Optimization-Aided Approach
Z Qin, J Li, B Gu - 2022 IEEE Wireless Communications and …, 2022 - ieeexplore.ieee.org
Long Range (LoRa) technology which provides low power consumption and long
transmission range is regarded as one of the key technologies for industrial Internet of …
transmission range is regarded as one of the key technologies for industrial Internet of …
Transmit power pool design for uplink IoT networks with grant-free NOMA
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access
framework for internet-of-things (IoT) networks to enhance connectivity. However, the …
framework for internet-of-things (IoT) networks to enhance connectivity. However, the …