Deep reinforcement learning for energy saving in radio access network
K Zhang, X Wen, Y Chen, Z Lu - 2020 IEEE/CIC International …, 2020 - ieeexplore.ieee.org
Energy consumption of radio access networks (RANs) has become a significant issue, due
to the growing density of base stations (BSs). Recent works have validated the possibility of …
to the growing density of base stations (BSs). Recent works have validated the possibility of …
A QoS-demand-aware computing resource management scheme in cloud-RAN
M Barahman, LM Correia… - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
This article focuses on computing resource allocation in Cloud Radio Access Networks. A
game-based optimization algorithm was developed to distribute the computing resources …
game-based optimization algorithm was developed to distribute the computing resources …
[图书][B] Ultra-Dense Heterogeneous Networks
Driven by the ever-increasing amount of mobile data, cellular networks evolve from small
cell network to ultra-dense heterogeneous networks, to provide high system capacity and …
cell network to ultra-dense heterogeneous networks, to provide high system capacity and …