In this regard, the deployment of small, low power base stations, alongside conventional sites is often believed to greatly lower the energy consumption of cellular radio networks. This paper investigates
Accurate Base Station Placement in 4G LTE Networks Using Eleven base stations with three sectored directional antennas are intended to be distributed randomly in the investigated area.
In this paper, we design an electric-cellular collaborative network (ECCN) and formulate a joint optimization problem to minimize electric supply and QoS degradation costs, subjecting to EN''s
Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to reduce
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 both
We develop the multi-step Q-learning of the RL algorithm to optimize base station sleeping strategies. Simulation results are provided to show the process and effectiveness of the proposed scheme.
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces unnecessary
Analysis of energy efficiency of small cell base station in 4G/5G Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks.
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching and
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