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All Journal International Journal of Electrical and Computer Engineering
Mohd Asri Mansor
University Technology MARA
Computer Science & IT Electrical & Electronics Engineering

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Q-Learning vertical handover scheme in two-tier LTE-A networks Ammar Bathich; Mohd Asri Mansor; Saiful Izwan Suliman; Sinan Ghassan Abid Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (73.951 KB) | DOI: 10.11591/ijece.v10i6.pp5824-5831

Abstract

Global mobile communication necessitates improved capacity and proper quality assurance for services. To achieve these requirements, small cells have been deployed intensively by long term evolution (LTE) networks operators beside conventional base station structure to provide customers with better service and capacity coverage. Accomplishment of seamless handover between Macrocell layer (first tier) and Femtocell layer (second tier) is one of the key challenges to attain the QoS requirements. Handover related information gathering becomes very hard in high dense femtocell networks, effective handover decision techniques are important to minimize unnecessary handovers occurred and avoid Ping-Pong effect. In this work, we proposed and implemented an efficient handover decision procedure based on users’ profiles using Q-learning technique in an LTE-A macrocell-femtocell networks. New multi-criterion handover decision parameters are proposed in typical/dense femtocells in microcells environment to estimate the target cell for handover. The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. The simulation results showed noteworthy reduction in the average number of handovers.
Co-Authors Ammar Bathich Saiful Izwan Suliman Sinan Ghassan Abid Ali