Feb 26, 2024 · This study delves into strategies for enhancing energy efficiency in 5G and 6G networks, focusing on network optimization, radio access techniques, and management. It
Aug 17, 2022 · Reducing the energy cost of communication base stations is a crucial factor in wireless communication industries, and cut the power consumption of in-base air conditioners
May 4, 2024 · In order to reduce the carbon emissions of 5G base stations and achieve green 5G, this paper further examines the literature related to existing energy-saving technologies for 5G
Jan 25, 2023 · There has been a lot of studies on energy cost optimization for vehicle edge computing, mainly focused on two aspects, one is the optimization of energy consumption for
Oct 29, 2024 · 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
Oct 22, 2021 · This paper presents an on-board energy storage for reducing energy distribution from the substations and reducing energy loss in the conductor transmission lines of the mass
Mar 23, 2023 · The power consumption of the RF PA in wireless communication base stations are too large and the efficiency of RF PA is too low. In this paper, a new hybrid ET power supply
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 is an urgent
(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
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 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.
When there is little or no communication activity, base stations typically consume more than 80% of their peak power consumption, leading to significant energy waste . This energy waste not only increases operational costs, but also burdens the environment, which is contrary to global sustainability goals .
Threshold-based base station sleep strategy is a common base station management method in wireless communication networks, which adjusts the operating state of the base station to save energy and improve resource utilization by dynamically setting appropriate thresholds.
In response to the problem of high network energy consumption caused by the dense deployment of SBS, the base station dormancy technique is seen as an effective solution, as it does not require changes to the current network architecture and is relatively simple to implement. This technique was first proposed in the IEEE 802.11b protocol .
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