Authors:
Ibraheem Shayea, Mahamod Ismail, Rosdiadee Nordin, Mustafa Ergen, Norulhusna Ahmad, Nor Fadzilah Abdullah, Abdulraqeb Alhammadi, and Hafizal Mohamad
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 Evolu-tion—Advanced system. The AHOM-NWF algorithm automatically adjusts the Hando-ver 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 effi-ciency 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 con-sidered algorithms in terms of SINR, cell edge spectral efficiency and outage probability reduction respectively.
Source:
Wireless Personal Communications, Volume 106 / 2019
