6G 密集网络中基于深度强化学习的资源分配策略
杨凡， 杨成， 黄杰， 张仕龙， 喻涛， 左迅， 杨川 - 通信学报, 2023 - infocomm-journal.com
6G 密集网络(DN) 中通过资源分配实现小区间无交叠干扰是提升网络性能的重要技术,
但资源受限和节点密集分布使其很难通过传统的优化方法解决资源分配问题. 针对此问题 …
但资源受限和节点密集分布使其很难通过传统的优化方法解决资源分配问题. 针对此问题 …
Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach-A Review
P Kamble, AN Shaikh - … on Advancements in Smart Computing and …, 2022 - Springer
Currently, the number of mobile devices is growing exponentially. To cope with the demand,
a highly efficient network is required. This rising need for high-speed mobile data rates of up …
a highly efficient network is required. This rising need for high-speed mobile data rates of up …
Artificial Intelligence-based Power Allocation in Hybrid Beamforming Multi-User Massive MIMO Communication Systems
F Bishe - 2023 - search.proquest.com
This thesis considers the power allocation (PA) to maximize the achievable sum-rate in
hybrid beamforming (HB) multi-user massive multiple-input multiple-output (MU-mMIMO) …
hybrid beamforming (HB) multi-user massive multiple-input multiple-output (MU-mMIMO) …
Active-time reduction of base stations for energy reduction using estimated terminal position via wireless-communication signals
T Iwakuni, D Uchida, T Arai, S Wai… - IEICE Communications …, 2023 - ieeexplore.ieee.org
This paper proposes an active-time-reduction technique of base stations for energy
reduction using terminal position information estimated from wireless-communication …
reduction using terminal position information estimated from wireless-communication …
Deep Reinforcement Learning for Radio Resource Management in Future AI-Driven HetNets
A Alwarafy - 2022 - search.proquest.com
Future wireless networks are expected to be extremely complex due to their massive
heterogeneity in terms of the types of network architectures they integrate, types of emerging …
heterogeneity in terms of the types of network architectures they integrate, types of emerging …