Adaptive handover decision algorithm based on multi-influence factors through carrier aggregation implementation in LTE-advanced system

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. © 2014 ibraheem shayea et al.