5g power-consuming base station sleep

Energy consumption optimization of 5G base stations considering

An energy consumption optimization strategy of 5G base stations (BSs) considering variable threshold sleep mechanism (ECOS-BS) is proposed, which includes the initial

A User-Driven Sleep and Wake-Up Technology for Energy-Efficient 5G

As the primary source of energy consumption in communication networks, the power usage of 5G base station (BS) is a significant concern. The sleep mode (SM) of BS can be utilized to

Stochastic modelling of sleeping strategy in 5G base station for

To reduce average power consumption and save power in 5G, we have modelled the 5G BSs sleeping mechanism as an M/G/1 queue with two types of vacations (two different

Energy consumption optimization of 5G base stations considering

To maximize overall benefits for the investors and operators of base station energy storage, we proposed a bi-level optimization model for the operation of the energy storage,

Exploring power system flexibility regulation potential based on

5G base stations (BSs) are potential flexible resources for power systems due to their dynamic adjustable power consumption.

Day-ahead collaborative regulation method for 5G base stations

To solve this crucial issue, a day-ahead collaborative regulation method for 5G BSs and power grids considering a sleep strategy and energy storage regulation capacity is

Optimal configuration of 5G base station energy storage

The high-energy consumption and high construction density of 5G base stations have greatly increased the demand for backup energy storage batteries.To maximize overall benefits for

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

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

Dynamical modelling and cost optimization of a 5G base station

In this regard, this study models a 5G BS as an (M^ { [X]}/G/1) feedback retrial queue with a sleeping strategy to reduce average power consumption and conserve power in

A User-Driven Sleep and Wake-Up Technology for Energy

As the primary source of energy consumption in communication networks, the power usage of 5G base station (BS) is a significant concern. The sleep mode (SM) of BS can be utilized to