The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
[HTML][HTML] A survey on communication protocols and performance evaluations for Internet of Things
Abstract The Internet of Things (IoT) is a large-scale network of devices capable of sensing,
data processing, and communicating with each other through different communication …
data processing, and communicating with each other through different communication …
An overview of simultaneous wireless information and power transfer in massive MIMO networks: A resource allocation perspective
Providing a stable and perpetual source of energy to charge battery-powered wireless
communication devices is viewed as a major challenge in wireless communication systems …
communication devices is viewed as a major challenge in wireless communication systems …
面向零功耗物联网的反向散射通信综述
张晓茜， 徐勇军 - 通信学报, 2022 - infocomm-journal.com
物联网能够提升人们的生活质量, 但同时带来能量消耗剧增与网络传输拥堵的问题. 为此,
面向零功耗物联网的反向散射通信技术被提出, 分析与研究该技术的发展现状及所面临的技术 …
面向零功耗物联网的反向散射通信技术被提出, 分析与研究该技术的发展现状及所面临的技术 …
Federated learning for automatic modulation classification under class imbalance and varying noise condition
Automatic modulation classification (AMC) is a promising technology for identifying
modulation types, and deep learning (DL)-based AMC is one of its main research directions …
modulation types, and deep learning (DL)-based AMC is one of its main research directions …
[PDF][PDF] 基于智能反射面辅助的无线供电通信网络鲁棒能效最大化算法
徐勇军， 高正念， 王茜竹， 周继华， 黄东 - 电子与信息学报, 2022 - researchgate.net
为了解决能量收集效率易受到障碍物阻挡和信道不确定性影响的问题, 该文提出一种基于智能
反射面(IRS) 辅助的无线供电通信网络鲁棒能效(EE) 最大化算法. 首先, 考虑最小收集能量, IRS …
反射面(IRS) 辅助的无线供电通信网络鲁棒能效(EE) 最大化算法. 首先, 考虑最小收集能量, IRS …
Robust resource allocation algorithm for energy-harvesting-based D2D communication underlaying UAV-assisted networks
Energy efficiency (EE) is a significant performance indicator in unmanned aerial vehicle
(UAV)-assisted communication networks for providing a balance between power …
(UAV)-assisted communication networks for providing a balance between power …
Transfer learning for semi-supervised automatic modulation classification in ZF-MIMO systems
Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …
cooperative communication systems, and it is widely applied into various communications …
Network slicing enabled resource management for service-oriented ultra-reliable and low-latency vehicular networks
Network slicing has been considered as a promising candidate to provide customized
services for vehicular applications that have extremely high requirements of latency and …
services for vehicular applications that have extremely high requirements of latency and …
反向散射通信网络资源分配综述
徐勇军， 杨浩克， 叶迎晖， 陈前斌， 卢光跃 - 物联网学报, 2021 - infocomm-journal.com
随着物联网技术的发展, 无线网络呈现出大规模用户接入, 高功耗, 高吞吐量需求等特点.
为了满足传输和降低能耗的需求, 反向散射通信技术被认为是解决上述问题最有效的方案之一 …
为了满足传输和降低能耗的需求, 反向散射通信技术被认为是解决上述问题最有效的方案之一 …