Base station (BS) sleeping is an effective approach to reduce the power consumption of the network, by switching some of the BSs to a low-power “sleep mode” during off-peak traffic hours.
Feb 21, 2025 · To solve this crucial issue, a day-ahead collaborative regulation method for 5G BSs and power grids considering a sleep strategy and energy storage regulation capacity is
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Oct 5, 2024 · The strategy involves making decisions on multi-level advanced sleep modes, antenna switching, and user association for the base stations.
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Jan 25, 2023 · Base station (BS) sleeping is an effective approach to reduce the power consumption of the network, by switching some of the BSs to a low
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Nov 12, 2021 · Abstract—In this paper, we study sleeping and power control of a single-cell cellular network with bursty traffic. The base station (BS) sleeps whenever the system is
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Jun 5, 2020 · Mobile network operators usually consider power consumption and Grade of Service (GoS) as two important aspects in the design and planning of modern cellular
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Aug 1, 2023 · An energy consumption optimization strategy of 5G base stations (BSs) considering variable threshold sleep mechanism (ECOS-BS) is proposed, which includes the initial
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Feb 21, 2025 · Optimizing energy consumption and aggregating energy storage capacity can alleviate 5G base station (BS) operation cost, ensure power supply reliability, and provide
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Jul 13, 2023 · A sleep strategy with several sleep mode (SM) levels for energy-efficient 5G base stations (BS) is proposed to reduce energy consumption. Energy consumption and Quality of
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Apr 28, 2023 · Base stations (BSs) sleeping strategy has been widely analyzed nowadays to save energy in 5G cellular networks. 5G cellular networks are meant to deliver a higher data speed
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Apr 10, 2023 · Abstract—Densely deployed base station (BS) network is one of the important technologies for 5G and beyond mobile com-munication system, which improves the system
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Jun 21, 2024 · Abstract—Machine learning technologies have become an in- valuable solution to operating mobile networks efficiently. In particular, multi-agent reinforcement learning (MARL)
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Sep 2, 2024 · Reference proposes a mobile sensing dual-level base station sleep control strategy based on cellular traffic prediction, which monitors the
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Nov 12, 2021 · Abstract—In this paper, traffic-aware sleeping control (SC) and power matching (PM) of a single base station (BS) in cellular networks are studied. The objective is to find the
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Apr 13, 2023 · Reducing energy consumption is the vital goal of green communication. Base station (BS) is a radio receiver/transmitter that serves as the hub of the local wireless network.
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Mar 17, 2022 · It is seen from Fig. B3 that the percentage reduction in system power consumption of the 5G base station was up to 23.45% after the sleep mechanism was implemented, and
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Nov 12, 2021 · IEEE TRANSACTIONS ON COMMUNICATIONS 1 Base Station Sleeping and Resource Allocation in Renewable Energy Powered Cellular Networks
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Oct 1, 2021 · In this study, the idle space of the base station''s energy storage is used to stabilize the photovoltaic output, and a photovoltaic storage system microgrid of a 5G base station is
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Mar 17, 2022 · Abstract: The high-energy consumption and high construction density of 5G base stations have greatly increased the demand for backup energy storage batteries. To maximize
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Oct 2, 2023 · Various strategies are available to minimize the power consumption in a base station. One of the effective ways to reduce power consumption is sleeping strategy. Some of
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Aug 10, 2023 · The transition time of the different sleep states – microsleep, light sleep, and deep sleep – are shown in Table 1. Clearly, the more components that are turned off and the deeper
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Dec 20, 2023 · Exploring power system flexibility regulation potential based on multi-base-station cooperation self-optimising sleep strategy for 5G base stations
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Aug 24, 2024 · The presented code is the implementation of the framework proposed in paper entitled as "Decentralized Federated Deep Reinforcement
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Nov 12, 2021 · Abstract— Base station (BS) sleeping is an effective way to improve the energy-efficiency of cellular networks. However, it may bring extra user-perceived delay. We conduct
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Jun 21, 2024 · In this paper, we propose a practical learning approach to obtain policies for BS sleep control via MARL with data-driven radio environment map (REM) calibration. In this
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Nov 12, 2021 · Abstract—In this paper, we study sleeping control and power matching for a single cell in cellular networks with bursty traffic. The base station (BS) sleeps whenever the system
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Dec 24, 2021 · As a springboard to the application of sleep mode methods in ultra-dense cellular networks, this paper provides a comprehensive survey of the base station sleep mode
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Mar 29, 2018 · Two base sleep mechanisms, namely, energy cost first (ECF) algorithm and power consumption first (PCF) algorithm, are proposed. The ECF algorithm focuses on the minimum
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Jan 30, 2024 · In this paper, we propose a small base station sleeping control scheme in heterogeneous dense small cell networks based on federated
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Jun 1, 2024 · The energy consumption of the mobile network is becoming a growing concern for mobile network operators and it is expected to rise further with operational costs and carbon
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Jul 21, 2025 · base station (BS) sleeping has emerged as an effective approach to reduce power consumption in cellular mobile networks . Energy saving is achieved by switching BSs (or
Free QuoteThe sleep mechanism of a base station refers to the intelligent shutdown of major power consumption devices, such as the AAU of the base station, when there is no load or the load is low, such that the energy consumption is greatly reduced.
The optimization configuration method for the 5G base station energy storage proposed in this article, that considered the sleep mechanism, has certain engineering application prospects and practical value; however, the factors considered are not comprehensive enough.
However, the existing energy conservation technologies, such as traditional BS sleep strategy, rarely consider the dynamic real-time changes of users (UEs), which may make it difficult to maximize sleep idle or lightly loaded BSs, thereby affecting the reduction of BS energy consumption.
To maximize overall benefits for the investors and operators of base station energy storage, we proposed a bi-level optimization model for the operation of the energy storage, and the planning of 5G base stations considering the sleep mechanism.
1) When the base station is in active state, its power loss Pactive consists of transmitting power Ptx and inherent power Pfix. With an increase in the communication load of the acer station, the corresponding transmitting power Ptx increases linearly.
Considering the dynamic changes of traffic, made BS sleep decisions by estimating the number of UEs served by BSs, and then proposed a QoS-based user association algorithm to effectively associate BSs with UEs under the premise of ensuring the QoS of UEs, thereby saving system energy consumption.