Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

Macro cells'(MCs) densification with small cells (SCs) is one of the promising solutions to
cope with the increasing demand for higher data rates in 5G heterogeneous networks …

Recently, the demand for small cell base stations (SBSs) has been exploding to
accommodate the explosive increase in mobile data traffic. In ultra-dense small cell …

The development of ultra-dense heterogeneous networks (HetNets) will cause a significant
rise in energy consumption with large-scale base station (BS) deployments, requiring …

This paper proposes a novel context-based network management model for device-to-
device (D2D) communication in ultra dense mobile networks. Network management …

Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …

One of the major capacity boosters for 5G networks is the deployment of ultra-dense
heterogeneous networks (UDHNs). However, this deployment results in a tremendous …

在超密集异构无线网络中, 针对城区交通高峰期, 大规模车载终端短时间聚集性移动引起的网络
拥塞问题, 该文提出一种考虑负载均衡和用户体验(LBUE) 的垂直切换算法. 首先 …

The constant surge in the traffic demand on cellular networks has led to continuous
expansion in network capacity in order to accommodate existing and new service demands …