Energy-efficiency schemes for base stations in 5G
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for both
(1) Incorporation of Communication Caching Technology: The model includes communication caching technology, which fully leverages the delay-tolerant characteristics of communication flows, further enabling energy saving in 5 G base stations.
However, the construction and operation of 5 G base stations face significant energy consumption challenges. Under full-load conditions, the power consumption of 5 G base stations is approximately 3–4 times that of 4 G base stations, which has a notable impact on energy consumption and environmental concerns (Zhang et al., 2020, Feng et al., 2012).
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.
The objective function is to maximize the average energy efficiency of the 5 G base station, while ensuring that the traffic demand of the user group is met.
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for both
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
In existing cellular networks, turning off the under-utilized BSs is an efficient approach to conserve energy while preserving the quality of service (QoS) of mobile users.
The rapid development of 5G technology leads to increasing energy consumption in base stations (BSs). For the vision of green and sustainable communications, we
In low base station service load scenarios, such as idle hours at night and non-capacity cell scenarios, it can be considered to turn off the transmission power of some RF channels to
Given the problems with traditional energy-saving effect testing schemes, this paper proposes an AI-based testing scheme for the energy-saving effect of AAU, achieving automated
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 communication caching and
To enhance system efficiency and establish green wireless communication systems, this paper investigates base station sleeping and power allocation strategy based on deep reinforcement
By reducing AAU power consumption, turn on the base station''s power saving switch such as subframe shutdown and channel shutdown. It can effectively control the power con-sumption of
The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose SmartMME, as
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