Deep reinforcement learning for sleep control in 5G and beyond radio access networks: An overview
The advent of 5G and beyond networks is envisioned to support lower latency, higher data
rates, and wider connectivity than previous cellular network generations. However, given the …
rates, and wider connectivity than previous cellular network generations. However, given the …
[HTML][HTML] 一种注意力机制LSTM 的5G 网络地铁节电方法
邓翠艳， 齐小刚 - 智能系统学报, 2024 - html.rhhz.net
随着5G 网络的规模化建设应用, 5G 基站设备的大功耗及高能耗成为运营商急需解决的成本问题
. 针对该问题, 提出了一种基于注意力机制LSTM 的5G 网络地铁节电方法, 该方法首先根据地铁 …
. 针对该问题, 提出了一种基于注意力机制LSTM 的5G 网络地铁节电方法, 该方法首先根据地铁 …
Energy Efficient Bandwidth Aware Virtualized BBU Pool for 5G C-RAN
The cloud radio access network (C-RAN) is an architecture that shows potential for 5G and
has the capability to dramatically increase energy efficiency. However, due to the high …
has the capability to dramatically increase energy efficiency. However, due to the high …
[PDF][PDF] Reinforcement Learning-based Joint Interference Mitigation and Resource Allocation in Dense Beyond 5G Heterogeneous Networks.
S Farhan, M Aal-nouman - … Journal of Intelligent Engineering & Systems, 2024 - inass.org
The deployment of small cells (SCs) in heterogeneous beyond 5G (B5G) networks holds
immense promise in meeting the ever-growing demand for data rates and ensuring the …
immense promise in meeting the ever-growing demand for data rates and ensuring the …