Increasing communication demand require high data traffic and better quality of service of real-time applications in wireless networks such as video streaming, voice and data communication. In order to meet the desired communication demands, LTE/LTE-A radio access networking technique have been developed which can support high speed UEs. In this field of wireless communication, handover plays important role for high dynamic UEs. Several techniques have been presented to improve handover performance for LTE/LTE-A network. However, conventional techniques suffer from various issues such as pin-pong effect which may degrade the communication quality due to frequent handovers which is caused due to inappropriate or optimal cell selection. In this work, we focus on handover management and developed a novel approach where optimal cell selection process is implemented and later we derive a probabilistic model handover decision making. The proposed model considers several parameters such as signal strength, distance, speed, movement direction, angle between UE and cell, maximum capacity of node connection and current number of connection to the cell. Based on these values, the next cell is selected and handover process is performed. The proposed approach uses probabilistic models and linear programming for cell selection hence it is called as (POCS-HO) approach. An extensive experimental study is carried out using MATLAB simulation tool where proposed approach is implemented and compared with the conventional techniques of handover management. Comparative study shows that the proposed approach achieves better performance in terms of packet drop, packet delay and system throughput.
Volume 11 | 04-Special Issue
Pages: 817-829