Feb 25, 2024 · Download Citation | Smart Energy-Saving Solutions Based on Artificial Intelligence and Other Emerging Technologies for 5G Wireless and Beyond Networks Communications |
Jun 15, 2018 · This paper aims to consolidate the work carried out in making base station (BS) green and energy efficient by integrating renewable energy sources (RES). Clean and green
Aug 23, 2019 · With the advent of the 5G era, mobile users have higher requirements for network performance, and the expansion of network coverage has become an inevitable trend.
Jul 1, 2022 · The operations of base stations (BSs) contribute most of the energy consumption in the cellular wireless networks. Powering BSs by distributed energy resources (DERs), such as
Jul 27, 2023 · The paper aims to provide an outline of energy-efficient solutions for base stations of wireless cellular networks. A total of 5722 studies have been figured out by using the search
Apr 19, 2024 · To achieve low latency, higher throughput, larger capacity, higher reliability, and wider connectivity, 5G base stations (gNodeB) need to be deployed in mmWave. Since
Mar 1, 2025 · 1. Introduction Advancements and improvements in wireless communications have significantly contributed to the development of low-power sensors and large-scale sensor
Sep 5, 2022 · Since most of the energy consumed in cellular networks is used by base stations (BSs), algorithms for managing BSs seem to be the most urgent development to achieve
Jun 15, 2018 · Energy efficient architectures: Energy efficiency in wireless networks can also be achieved through different network architectures, such as cost effective deployment strategies
May 7, 2021 · Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy
Jul 26, 2021 · In wireless cellular networks, optimising the energy efficiency (EE) of base stations (BSs) has been a major architectural challenge. The BSs are
Oct 16, 2021 · The operations of base stations (BSs) contribute most of the energy consumption in the cellular wireless networks. Powering BSs by distributed energy resources (DER) such
Aug 29, 2022 · With the explosion of mobile Internet applications and the subsequent exponential increase of wireless data traffic, the energy consumption of cellular networks has rapidly
Apr 15, 2024 · Another survey [5] introduced previous works on UAV-mounted aerial base stations that can extend coverage and capacity of existing terrestrial wireless networks and
The base stations (BSs), primary energy consumption contributors in the cellular wireless networks, ac- count for about 70% energy consumption of the whole network [2], resulting in a
Oct 5, 2024 · This work provides a Multi-Agent Reinforcement Learning (MARL) approach to minimize the total energy consumption of multiple massive MIMO base stations (BSs) in a
Jul 1, 2022 · Abstract Wireless networks with unmanned aerial vehicles (UAVs) as the airborne base station (ABS) become a promising technology to enhance terrestrial users'' coverage
The paper aims to provide an outline of energy-efficient solutions for base stations of wireless cellular networks. A total of 5722 studies have been figured out by using the search string and
Apr 1, 2025 · This paper delves into the essential energy-saving technologies for 6G radio access networks within an energy-efficient framework and proposes a multi-tiered cloud-enabled
Oct 8, 2012 · In this paper we propose a Scalable Architecture for Resource Adaptive Networks (SAfRAN) which opens up new opportunities in development of base stations and wireless
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
Jul 1, 2022 · Abstract The emergence of fifth-generation (5G) telecommunication would change modern lives, however, 5G network requires a large number of base stations, which may lead
Sep 20, 2012 · We provide a broad overview of the state of-the-art energy efficient methods covering base station (BS) hardware design, network planning and deployment, and network
Jun 27, 2023 · In wireless cellular networks, optimising the energy efficiency (EE) of base stations (BSs) has been a major architectural challenge. The BSs are
Dec 24, 2021 · The proliferation of mobile users with an attendant rise in energy consumption mainly at the base station has requested new ways of achieving energy efficiency in cellular
Jun 25, 2024 · The energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of base
Jun 23, 2021 · The next mobile generation is highly expected since it is supposed to increase the bit rate and reduce latency to allow multiple new services been offered. However, there is a
This technical report focuses on energy-saving technology of base stations. Some energy saving technologies since 4G era will be explained in details, while artificial intelligence and big data technology will be introduced in response to the requirement of an intelligent and self-adaptive energy saving solution.
Recognizing this, Mobile Network Operators are actively prioritizing EE for both network maintenance and environmental stewardship in future cellular networks. The paper aims to provide an outline of energy-efficient solutions for base stations of wireless cellular networks.
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.
This paper aims to consolidate the work carried out in making base station (BS) green and energy efficient by integrating renewable energy sources (RES). Clean and green technologies are mandatory for reduction of carbon footprint in future cellular networks.
(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
There are two main methods of base station energy saving, including hardware and software.
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