Open AccessE2CA‐SM: an energy‐efficient channel allocation with sleep mode for base station in fifth‐generation‐based cellular network systems
Author(s) -
Venkata Krishna Parimala,
Saritha Vankadara,
Obaidat Mohammad Salameh
Publication year - 2020
Publication title -
iet networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 21
ISSN - 2047-4962
DOI - 10.1049/iet-net.2019.0045
Subject(s) - sleep mode , cellular network , computer science , energy consumption , base station , computer network , network packet , cellular automaton , queue , efficient energy use , power (physics) , power consumption , engineering , algorithm , electrical engineering , physics , quantum mechanics
In today's world, power is one of the resources that needs effective utilisation similar to the bandwidth utilisation. As the battery life of the nodes in the cellular networks is not a problem, there is not much extensive research toward energy consumption in the cellular networks. Nevertheless, currently the focus is toward conserving the power being utilised by various components in the cellular network. Hence, an energy‐efficient channel allocation (E2CA) procedure for cellular networks with fifth‐generation network characteristics is proposed in this study, where the energy consumption is reduced with the concept of sleep mode for base station (E2CA‐SM). The SM is more popular in sensor networks when compared with cellular networks. The proposed E2CA‐SM algorithm shows low‐energy consumption during peak and non‐peak hours of cellular traffic. It is shown that the energy consumption per packet is 35.5% less when compared with multi‐traffic, with queue, learning automata‐based reservation, 32% when compared with E2CA. The system is modelled using single‐dimension Markov's model. There will be a trade‐off between blocking, dropping probability, and energy consumption, which is tackled in this study.