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 efficiency of 5G mobile networks with base station sleep
The paper presents system level simulation results on future base station energy saving using a time-triggered sleep model. The energy efficiency of future base station is compared in macro
Exploring power system flexibility regulation potential based on
Abstract 5G base stations (BSs) are potential flexible resources for power systems due to their dynamic adjustable power consumption. However, the ever-increasing energy
Optimal configuration of 5G base station energy storage
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,
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
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
The delay-energy trade-off for advanced sleep modes in radio
We present a queueing and energy consumption analysis to study the delay-energy trade-off for advanced sleep modes for the base stations in 5G radio access networks.
Optimal Policies of Advanced Sleep Modes for Energy
n point, the base station is free to decide the next sleep level to go to. We do so based on Markov Decision Processes (MDPs) and derive the optimal s eep policy as well as the resultant power
Energy efficiency of 5G mobile networks with base station sleep
The paper presents system level simulation results on future base station energy saving using a time-triggered sleep model. The energy efficiency of future base station is
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