Small communication base station energy management system base station power generation

Base line small cell base station In cellular networks, to meet the increasing demand of high-data-rate for wireless applications, small cell BSs provide a promising and feasible approach but that consumes more power. The base line of small cell BSs is shown in Fig. 1.

Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks. To meet the increasing demand of high-data-rate for wireless applications, small cell BSs provide a promising and feasible approach but that consumes more power. Hence, energy efficiency in small cell BSs is a major issue to be concerned.

In, Yang et al. proposed light sleep and deep sleep for cellular BSs according to the URs available in the BSs coverage area. But introducing sleeping strategies in small cell as well as 5G small cell BSs are not enough to minimize more power consumption and maximize more power saving i.e., higher energy efficiency.

To optimize the deployment of small cell BSs in the small cell network, Venkateswararao and Swain proposed an efficient cell modeling (ECM) algorithm for small cell formation and binary particle swarm optimization-based small cell deployment (BPSD).

As per the proposed model, if there is at least one UR waiting in the queue the small cell BS turns in to active state and starts its service. Power consumed during the active state is termed as (E_ {AC}). During the active state small cell BS consumes 100 % power.