### 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.

Original language | English |
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Journal | Wireless Personal Communications |

DOIs | |

Publication status | Published - 1 Jan 2019 |

### Fingerprint

### Keywords

- Adaptive handover margin
- Carrier aggregation
- Cell edge throughput and outage probability
- LTE-advanced
- Weight function

### ASJC Scopus subject areas

- Computer Science Applications
- Electrical and Electronic Engineering

### Cite this

*Wireless Personal Communications*. https://doi.org/10.1007/s11277-019-06463-2

**New Weight Function for Adapting Handover Margin Level over Contiguous Carrier Aggregation Deployment Scenarios in LTE-Advanced System.** / Shayea, Ibraheem; Ismail, Mahamod; Nordin, Rosdiadee; Ergen, Mustafa; Ahmad, Norulhusna; Abdullah, Nor Fadzilah; Alhammadi, Abdulraqeb; Mohamad, Hafizal.

Research output: Contribution to journal › Article

*Wireless Personal Communications*. https://doi.org/10.1007/s11277-019-06463-2

}

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

PY - 2019/1/1

Y1 - 2019/1/1

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

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

U2 - 10.1007/s11277-019-06463-2

DO - 10.1007/s11277-019-06463-2

M3 - Article

AN - SCOPUS:85065466607

JO - Wireless Personal Communications

JF - Wireless Personal Communications

SN - 0929-6212

ER -