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
Energy Consumption Optimization Technique for Micro Base
In order to solve high energy consumption caused by massive micro base stations deployed in multi-cells, a joint beamforming and power allocation optimization algorithm is proposed in
Energy-Efficient Base Station Deployment in Heterogeneous
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
Power Consumption Modeling of 5G Multi-Carrier Base
We demonstrate that this model achieves good estimation performance, and it is able to capture the benefits of energy saving when dealing with the complexity of multi-carrier base stations
Base Station Microgrid Energy Management in 5G Networks
This paper presents a brief review of BSMGEMS. The work begins with outlining the main components and energy consumptions of 5G BSs, introducing the configuration and
Modelling the Energy Efficiency of Microcell Base Stations
In this paper, an energy efficiency model for microcell base stations is proposed. Based on this model, the energy efficiency of microcell base stations is compared for various wireless
QoS-Aware Energy-Efficient MicroBase Station Deployment
We present a micro base station deployment strategy in 5G HetNets for obtaining high energy efficiency. It optimizes target values as are trade-offs at different user distribution
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Various approaches have been proposed to reduce the energy consumption of an RBS, for instance, passive cooling techniques, energy-efficient backhaul solutions, and distributed base
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
Micro base station power model parameters
In wireless communications micro cells are potentially more energy efficient than conventional macro cells due to the high path loss exponent. Also, heterogeneous deployments of both cell types
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-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
Micro base station power model parameters | Download Table
In wireless communications micro cells are potentially more energy efficient than conventional macro cells due to the high path loss exponent. Also, heterogeneous deployments of both cell
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
Micro base station power model parameters | Download Table
In wireless communications micro cells are potentially more energy efficient than conventional macro cells due to the high path loss exponent. Also, heterogeneous deployments of both cell
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