TY - JOUR

T1 - New Weight Function for Adapting Handover Margin Level over Contiguous Carrier Aggregation Deployment Scenarios in LTE-Advanced System

AU - Shayea, Ibraheem

AU - Ismail, Mahamod

AU - Nordin, Rosdiadee

AU - Ergen, Mustafa

AU - Ahmad, Norulhusna

AU - Abdullah, Nor Fadzilah

AU - Alhammadi, Abdulraqeb

AU - Mohamad, Hafizal

N1 - Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - In this paper, an Adaptive Handover Margin algorithm based on Novel Weight Function (AHOM-NWF) is proposed through Carrier Aggregation operation in Long Term Evolution—Advanced system. The AHOM-NWF algorithm automatically adjusts the Handover Margin level based on three functions, f(SINR),f(TL)andf(v), which are evaluated as functions of Signal-to-Interference-plus-Noise-Ratio (SINR), Traffic Load (TL) , and User’s velocity (v) respectively. The weight of each function is taken into account in order to estimate an accurate margin level. Furthermore, a mathematical model for estimating the weight of each function is formulated by a simple model. However, AHOM-NWF algorithm will contribute for the perspective of SINR improvement, cell edge spectral efficiency enhancement and outage probability reduction. Simulation results have shown that the AHOM-NWF algorithm enhances system performance more than the other considered algorithms from the literature by 24.4, 14.6 and 17.9%, as average gains over all the considered algorithms in terms of SINR, cell edge spectral efficiency and outage probability reduction respectively.

AB - In this paper, an Adaptive Handover Margin algorithm based on Novel Weight Function (AHOM-NWF) is proposed through Carrier Aggregation operation in Long Term Evolution—Advanced system. The AHOM-NWF algorithm automatically adjusts the Handover Margin level based on three functions, f(SINR),f(TL)andf(v), which are evaluated as functions of Signal-to-Interference-plus-Noise-Ratio (SINR), Traffic Load (TL) , and User’s velocity (v) respectively. The weight of each function is taken into account in order to estimate an accurate margin level. Furthermore, a mathematical model for estimating the weight of each function is formulated by a simple model. However, AHOM-NWF algorithm will contribute for the perspective of SINR improvement, cell edge spectral efficiency enhancement and outage probability reduction. Simulation results have shown that the AHOM-NWF algorithm enhances system performance more than the other considered algorithms from the literature by 24.4, 14.6 and 17.9%, as average gains over all the considered algorithms in terms of SINR, cell edge spectral efficiency and outage probability reduction respectively.

KW - Adaptive handover margin

KW - Carrier aggregation

KW - Cell edge throughput and outage probability

KW - LTE-advanced

KW - Weight function

UR - http://www.scopus.com/inward/record.url?scp=85065466607&partnerID=8YFLogxK

U2 - 10.1007/s11277-019-06463-2

DO - 10.1007/s11277-019-06463-2

M3 - Article

AN - SCOPUS:85065466607

SN - 0929-6212

VL - 108

SP - 1179

EP - 1199

JO - Wireless Personal Communications

JF - Wireless Personal Communications

IS - 2

ER -