Sustainable Resource Allocation and Base Station Optimization
Researchers are currently exploring the anticipated sixth-generation (6G) wireless communication network, poised to deliver minimal latency, reduced power consumption,
Adaptive Dynamic Programming for Energy-Efficient Base
ory concerns, and potential energy crises arising from geopolitical tensions. In this work, we propose an approximate dynamic programming (ADP)-based method coupled with online
Base Station Energy Management in 5G Networks Using
As the new radio (NR) based 5G network is configured to transmit signal blocks for every 20 ms, the proposed algorithm implements withstanding capacity of on or off based energy switching,
Energy-efficiency schemes for base stations in 5G heterogeneous
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
Base Station Energy Management in 5G Networks Using Wide
Hence, this paper discusses the energy management in wireless cellular networks using wide range of control for twice the reduction in energy conservation in non-standalone deployment
Threshold-based 5G NR base station management for energy
Simulations conducted on a realistic multi-technology 5G New Radio (NR) RAN in an urban environment validate the efficacy of the proposed strategy, achieving up to 73% of
An Overview of Energy-efficient Base Station Management
Due to the fact that base stations (BSs) are the main energy consumers in cellular access networks, this paper overviews the issue of BS management to achieve energy efficiency (load
Spatial–Temporal Energy Management of Base Stations in
Optimal energy management of BSs helps to reduce electricity bills for the wireless network and provides flexibility to the power networks. This article proposes the concept of spatial–temporal
Spatial–Temporal Energy Management of Base Stations in Cellular Networks
Optimal energy management of BSs helps to reduce electricity bills for the wireless network and provides flexibility to the power networks. This article proposes the concept of spatial–temporal
Energy-saving control strategy for ultra-dense network base stations
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Base Station Energy Management in 5G Networks
Hence, this paper discusses the energy management in wireless cellular networks using wide range of control for twice the reduction in energy