Optimization of Communication Base Station Battery Configuration

In the communication power supply field, base station interruptions may occur due to sudden natural disasters or unstable power supplies. This work studies the optimization of battery...

Power Saving by Sleep Modes in Base Station Transceivers for

Sleep modes in base station transceivers, based on the deactivation of components and especially of the power amplifier in time slots of no signal transmission, show a significant potential to

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

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 reduce mobile

Optimal configuration of 5G base station energy storage 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, and the

Day-ahead collaborative regulation method for 5G base stations and

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 proposed.

Stochastic Modeling of a Base Station in 5G Wireless Networks for

ASM allows the deactivation of the BS to intense sleep modes which correspond to lower power levels but longer reactivation times, by making it possible to obtain a convenient tradeoff

Exploring power system flexibility regulation potential based on multi

By adopting a user association and sleep strategy in this paper, BS power consumption can be reduced and the power system can allocate more power resources to other necessary

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 matching

Deep Learning-Based Traffic-Aware Base Station Sleep Mode and

To address this, we propose a multi-cell sleep strategy combined with adaptive cell zooming, user association, and reconfigurable intelligent surface (RIS) to minimize BS energy

Dynamic Multi-Sleeping Control with Diverse Quality-of-Service

To tackle the dynamic changes in QoS requirements caused by user mobility, small base stations share local models with the macro base station, which acts as the central control unit, via the