What is the power consumption of a base station?The power consumption of each base station is considered about the number of mobile subscribers and random mobility to minimize the energy-saving cost of the cellular network.
Does Mappo reduce power consumption in 5G ultra-dense networks?In this paper, we thoroughly study the base station control problem in 5G ultra-dense networks and propose an innovative MAPPO algorithm. The algorithm significantly reduces the overall power consumption of the system by optimizing inter-base station collaboration and interference management while guaranteeing user QoS.
What are the standardized energy-saving metrics for a base station?(1) Energy-saving reward: after choosing a shallower sleep strategy for a base station, the system may save more energy if a deeper sleep mode can be chosen, and in this paper, the standardized energy-saving metrics are defined as (18) R i e = E S M = 0 − E S M = i E S M = 0 − E S M = 3.
How does distributed execution affect base station control?In the distributed execution phase, each actor network makes decisions independently based only on its own network and observations, and although each actor executes independently, the whole system is able to obtain a better base station control strategy because their strategies are based on the results of global optimization. Fig. 2.
Why does network sensitivity affect the energy consumption of base stations?In addition, the high sensitivity of the existing policies to network conditions during the period when the network load is relatively smooth may lead to unnecessary and frequent switching of the sleep mode of the base stations, thus adding non-negligible additional energy consumption.
Does the MAPPO algorithm reduce power consumption?Simulation results show that the proposed algorithm reduces the power consumption by 24.61% compared to the no-sleep strategy and further reduces the power consumption by 5.36% compared to the traditional MAPPO algorithm under the premise of guaranteeing the quality of service of users. 1. Introduct
ABSTRACT- In this research work, the classifications of the device that controls the energy supply sources of the mobile communication base station are presented. The device is used to
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Dec 21, 2023 · Unlike the concentrated load in urban area base stations, the strong dispersion of loads in suburban or highway base stations poses
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Dec 10, 2019 · The communication base station backup power supply has a huge demand for energy storage batteries, which is in line with the characteristics of
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Apr 13, 2025 · This paper discusses the site optimization technology of mobile communication network, especially in the aspects of enhancing coverage and optimizing base station layout.
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Dec 18, 2023 · The rapid development of 5G has greatly increased the total energy storage capacity of base stations. How to fully utilize the often dormant base station energy storage
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Oct 29, 2024 · A base station control algorithm based on Multi-Agent Proximity Policy Optimization (MAPPO) is designed. In the constructed 5G UDN model, each base station is
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Base station power refers to the output power level of base stations, which is defined by specific maximum limits (24 dBm for Local Area base stations and 20 dBm for Home base stations)
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Jul 23, 2024 · Large‐scale deployment of 5G base stations has brought severe challenges to the economic operation of the distribution network, furthermore, as a new type of adjustable load,
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This article introduces a multi-objective interval-based collaborative planning approach for virtual power plants and distribution networks. After thoroughly analyzing the operational dynamics
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Mar 14, 2024 · In response to the suboptimal efficiency observed in the network configuration and administration of 5G photovoltaic base stations (PVBSs), as
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Feb 13, 2025 · However, the uncertainty of distributed renewable energy and communication loads poses challenges to the safe operation of 5G base
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Apr 1, 2023 · With the mass construction of 5G base stations, the backup batteries of base stations remain idle for most of the time. It is necessary to explore these massive 5G base
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Dec 1, 2024 · The widespread deployment of cellular networks has improved communication access, driving economic growth and enhancing social connections across diverse regions.
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Dec 31, 2021 · First, it established a 5G base station load model considering the communication load and a 5G base station energy storage capacity schedulable model considering the energy
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Dec 1, 2024 · A method to evaluate the post-earthquake functionality of communication base stations using Bayesian network is developed.
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Dec 7, 2023 · This work studies the optimization of battery resource configurations to cope with the duration uncertainty of base station
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Aug 1, 2024 · This paper proposes a double-layer clustering method for 5G base stations and an integrated centralized-decentralized control strategy for their participation in frequency
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Jan 23, 2023 · In this paper, we present a power consumption model for 5G AAUs based on artificial neural networks. We demonstrate that this model achieves good estimation
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Sep 27, 2023 · The collaborative deployment of multiple UAVs is a crucial issue in UAV-supported disaster emergency communication networks, as utilizing
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Mar 21, 2025 · Abstract. Utilizing unmanned aerial vehicle (UAV) to carry 5G base stations to build emergency communication networks can flexibly provide stable and reliable wireless
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Reference (Celebi et al., 2019) analyzes the power consumption characteristics and patterns of base station communication equipment under different load conditions, and points out that the
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Mar 22, 2025 · Utilizing unmanned aerial vehicle (UAV) to carry 5G base stations to build emergency communication networks can flexibly provide stable and reliable wireless access in
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Dec 31, 2021 · First, it established a 5G base station load model considering the communication load and a 5G base station energy storage capacity
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This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network (ADN) and constructs a
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Dec 16, 2020 · In recent years, with the rapid deployment of fifth-generation base stations, mobile communication signals are becoming more and more complex. How to identify and classify
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The utility model relates to a power system of a PRU communication base station, and solves the technical problems of high cost, high loss of electric energy, unstable power supply, short
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Mar 31, 2024 · 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
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Mar 1, 2024 · The limited penetration capability of millimeter waves necessitates the deployment of significantly more 5G base stations (the next generation Node B, gNB) than their 4G
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May 30, 2022 · All BTSs need to be electrically powered and system management may investigate methods to reduce power consumption.
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Jul 1, 2018 · In this paper, an energy-efficient hybrid power supply system for a 5G macro base station is proposed. It is analysed that with the solar energy working in conjunction with the
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Aug 20, 2021 · 5G base stations (BSs), which are the essential parts of the 5G network, are important user-side flexible resources in demand response (DR) for electric power system.
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Transmission power control method, mobile station, base station, and recording medium Abstract Even if the reception qualities of the signals from the base stations connected are different
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Dec 26, 2024 · First, on the basis of in‐depth analysis of the operating characteristics and communication load transmission characteristics of the base station, a 5G base station of
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Feb 1, 2022 · A multi-base station cooperative system composed of 5G acer stations was considered as the research object, and the outer goal was to maximize the net profit over the
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The power consumption of each base station is considered about the number of mobile subscribers and random mobility to minimize the energy-saving cost of the cellular network.
In this paper, we thoroughly study the base station control problem in 5G ultra-dense networks and propose an innovative MAPPO algorithm. The algorithm significantly reduces the overall power consumption of the system by optimizing inter-base station collaboration and interference management while guaranteeing user QoS.
(1) Energy-saving reward: after choosing a shallower sleep strategy for a base station, the system may save more energy if a deeper sleep mode can be chosen, and in this paper, the standardized energy-saving metrics are defined as (18) R i e = E S M = 0 − E S M = i E S M = 0 − E S M = 3
In the distributed execution phase, each actor network makes decisions independently based only on its own network and observations, and although each actor executes independently, the whole system is able to obtain a better base station control strategy because their strategies are based on the results of global optimization. Fig. 2.
In addition, the high sensitivity of the existing policies to network conditions during the period when the network load is relatively smooth may lead to unnecessary and frequent switching of the sleep mode of the base stations, thus adding non-negligible additional energy consumption.
Simulation results show that the proposed algorithm reduces the power consumption by 24.61% compared to the no-sleep strategy and further reduces the power consumption by 5.36% compared to the traditional MAPPO algorithm under the premise of guaranteeing the quality of service of users. 1. Introduction
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