Energy-saving control strategy for ultra-dense network base
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
WO/2023/211244 METHOD AND DEVICE FOR REDUCING BASE STATION ENERGY
According to the present disclosure, an excessive energy consumption problem of a base station in a mobile communication system is resolved, and higher energy efficiency can
WO2024029846A1
A method performed by a base station (BS) in a wireless communication system may include: transmitting, to a user equipment (UE), information of an energy saving mode; identifying an...
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
Final draft of deliverable D.WG3-02-Smart Energy Saving of
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
TS 103 786
Dynamic measurement method for evaluation energy efficiency of 5G radio Base Stations with respect to mMTC and URLLC is subjected for further study and will be handled in the later
Base station power control strategy in ultra-dense networks via
To enhance system efficiency and establish green wireless communication systems, this paper investigates base station sleeping and power allocation strategy based on
Adaptive Dynamic Programming for Energy-Efficient Base
ory concerns, and potential energy crises arising from geopolitical tensions. In this work, we propose an approximate dynamic programming (ADP)-based method coupled with online
WO/2023/211244 METHOD AND DEVICE FOR REDUCING
According to the present disclosure, an excessive energy consumption problem of a base station in a mobile communication system is resolved, and higher energy efficiency can
Energy-saving control strategy for ultra-dense network base stations
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
ES 202 706-1
In the radio access network, the energy consumption of the Base Station is dominating (depending on technology often also referred to as BTS, NodeB, eNodeB, gNodeB, etc. and in
STUDY ON AN ENERGY-SAVING THERMAL
Figure 8. Comparison of electrity consumption equipment cabinet between 12 °C and 39 °C, in winter which meets the national standard for outdoor communication base stations, thus, there