Premium
Improving energy efficiency in LTE‐A networks with the reduction of failure rate in eNB components
Author(s) -
Bhuvaneswari P.,
Nithyanandan L.
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4916
Subject(s) - failure rate , lte advanced , software deployment , computer science , base station , efficient energy use , reduction (mathematics) , energy consumption , transmission (telecommunications) , computer network , reliability engineering , power control , power (physics) , engineering , telecommunications , electrical engineering , telecommunications link , mathematics , physics , geometry , quantum mechanics , operating system
Summary Small cell networks provide optimistic and realistic way to meet the growth of increasing demand for higher rates of services in wireless networks. Energy efficiency (EE) is a high‐priority design parameter in a long‐term evolution‐advanced (LTE‐A) network. Generally, LTE‐A base stations are referred to as evolved Node B (eNB). To improve EE with small cell deployment, one way is to switch off some of the eNB components while the difficulty is to control the failure rate activated by fatigue processes of eNB subjected to Discontinuous Transmission mode (DTX). Specifically, if the time spent in DTX modes increases, then the failure rate of eNB decreases. Despite the variation of power states turned to enlarge the failure rate of eNB. The objective is to deal the difficulty of reducing the LTE‐A eNB failure rate subject to DTX mode and the new algorithm named AFEE (Acceleration Factor and Energy efficiency) is proposed and energy analysis is performed and numerical results are given. Specifically, the proposed algorithm is strong enough to attain power saving nearly of 55%.