Energy-saving control strategy for ultra-dense network base
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 Microgrid Energy Management in 5G Networks
The work begins with outlining the main components and energy consumptions of 5G BSs, introducing the configuration and components of base station microgrids (BSMGs),
Energy Management of Base Station in 5G and B5G: Revisited
To achieve low latency, higher throughput, larger capacity, higher reliability, and wider connectivity, 5G base stations (gNodeB) need to be deployed in mmWave. Since mmWave
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,
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
Revolutionising Connectivity with Reliable Base Station Energy
Discover how base station energy storage empowers reliable telecom connectivity, reduces OPEX, and supports hybrid energy.
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
Revolutionising Connectivity with Reliable Base Station Energy
Discover how base station energy storage empowers reliable telecom connectivity, reduces OPEX, and supports hybrid energy.
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
Energy-Efficient Base Station Deployment in Heterogeneous Communication
In this paper we formalize the deployment of micro BSs in the coverage area of macro BSs as a mixed integer nonlinear programming problem, and then propose, based on Kuhn-Munkres
Base Station Energy Management in 5G Networks Using Wide
In this paper, a BS sleeping technology deployable in heterogeneous networks (HetNets) is proposed. The proposed scheme is validated by using extensive OMNeT++/SimuLTE
Energy-efficiency schemes for base stations in 5G heterogeneous
EE solutions have been segregated into five primary categories: base station hardware components, sleep mode strategies, radio transmission mechanisms, network deployment and
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
Energy-efficiency schemes for base stations in 5G heterogeneous
EE solutions have been segregated into five primary categories: base station hardware components, sleep mode strategies, radio transmission mechanisms, network deployment and