Communication 5g base station intelligent shutdown
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SmartMME : Implementation of Base Station Switching Off
The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose
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Final draft of deliverable D.WG3-02-Smart Energy Saving
Change Log This document contains Version 1.0 of the ITU-T Technical Report on "Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to
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Energy-saving control strategy for ultra-dense network base stations
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 considered as
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Two-Time Scale Energy-Saving Scheme with Base Station
Green communications (GC) is an urgent need for 5G and 6G. How to realize GC with guaranteed quality of service is still a challenging problem. This paper investigates the
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Energy Saving of 5G Base Stations Based on Symbol Shutdown
The rapid development of 5G technology leads to increasing energy consumption in base stations (BSs). For the vision of green and sustainable communications, we propose a
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Application of AI technology 5G base station
The intelligent energy-saving of base station using AI technology should divided into different types of problems, study the characteristics of telecommunication analysis and
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Machine Learning and Analytical Power Consumption
Abstract—The energy consumption of the fifth generation (5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an
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Base station power control strategy in ultra-dense networks
The of data services in wireless communication systems is propelled by the swift advancement of information technology. To meet the demands for extensive connectivity and
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Intelligent Energy Saving Solution of 5G Base
PDF | On Jul 26, 2021, Tan Rumeng and others published Intelligent Energy Saving Solution of 5G Base Station Based on Artificial Intelligence Technologies | Find, read and cite all the research
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Optimal energy-saving operation strategy of 5G base station
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
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Intelligent Energy Saving Solution of 5G Base Station Based
PDF | On Jul 26, 2021, Tan Rumeng and others published Intelligent Energy Saving Solution of 5G Base Station Based on Artificial Intelligence Technologies | Find, read and cite all the
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What is the ITU-T Technical Report on 5G base station?
This document contains Version 1.0 of the ITU-T Technical Report on “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 consumption” approved at the ITU-T Study Group 5 meeting held online, 20th May, 2021. 3.1.
Is 5G base station power consumption accurate?
[email protected]—The energy consumption of the fifth generation (5G) of mobile networks is one of the major co cerns of the telecom industry. However, there is not currently an accurate and tractable approach to evaluate 5G base stations (BSs) power consumption. In this article, we pr
Can network energy saving technologies mitigate 5G energy consumption?
This technical report explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be leveraged to mitigate 5G energy consumption.
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.
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