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

Citation

Alhammadi, Abdulraqeb Shaif Ahmed and Mohamad, Hafizal and Ahmad, Norulhusna and Ergen, Mustafa and Abdullah, Nor Fadzilah and Nordin, Rosdiadee and Ismail, Mahamod and Shayea, Ibraheem (2019) New Weight Function for Adapting Handover Margin Level over Contiguous Carrier Aggregation Deployment Scenarios in LTE-Advanced System. Wireless Personal Communication, 108. pp. 1179-1199. ISSN 0929-6212; eISSN: 1572-834X

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Adaptive handover margin, Weight function, Carrier aggregation · LTE-advanced, Cell edge throughput and outage probability
Subjects: Q Science > QA Mathematics > QA150-272.5 Algebra
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 09 Mar 2022 01:51
Last Modified: 09 Mar 2022 01:51
URII: http://shdl.mmu.edu.my/id/eprint/9271

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