Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System. (26th November 2014)

• Record Type: Journal Article
• Authors: Shayea, Ibraheem; Ismail, Mahamod; Nordin, Rosdiadee; Mohamad, Hafizal
• Other Names: Mueller Peter Academic Editor.
• Is Part Of: Journal of computer networks and communications. Volume 2014(2014)
• Publication Date: 2014-11-26
• Subjects: Computer networks -- Periodicals; Computer science -- Periodicals; 004.605
• DOI: 10.1155/2014/739504
• Languages: English
• ISSNs: 2090-7141

Abstract

Abstract : Although Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user's throughput degradation and its outage probability. Therefore, a handover decision algorithm must be designed properly in order to contribute effectively for reducing this phenomenon. In this paper, Multi-Influence Factors for Adaptive Handover Decision Algorithm (MIF-AHODA) have been proposed through CA implementation in LTE-Advanced system. MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. Simulation results show that MIF-AHODA enhances system performance better than the other considered algorithms from the literature by 8.3 dB, 46%, and 51% as average gains over all the considered algorithms in terms of SINR, cell-edge spectral efficiency, and outage probability reduction, respectively.