文献类型：期刊文献

英文题名：PBPHS: A Profile-Based Predictive Handover Strategy for 5G Networks

作者：Sun, Jiabao[1];Zhang, Yijiang[1];Trik, Mohammad[2]

机构：[1]Shaoxing Univ, Yuanpei Coll, Sch Informat & Electromech, Shaoxing 312000, Zhejiang, Peoples R China;[2]Islamic Azad Univ, Dept Comp Engn, Boukan Branch, Boukan, Iran

年份：0

外文期刊名：CYBERNETICS AND SYSTEMS

收录：SCI-EXPANDED(收录号：WOS:000864826600001)、、EI(收录号：20224112891354)、Scopus(收录号：2-s2.0-85139471786)、WOS

语种：英文

外文关键词：5G networks; handover; handover strategy; predictive handover

外文摘要：One of the necessities of mobile networks is uninterrupted access to wireless services, taking into account the requirements of quality of service. With the development of the fifth-generation (5G), high improvements will be achieved in several aspects such as seamless communications, flexibility, scalability, cost-effectiveness, and energy efficiency. For this purpose, in 5G architecture, a large amount of Small cell Base Stations (SBS) will be considered to cover all of the users and their equipment devices. Due to the possibility of rapid user mobility, the high traffic load on SBS, or any service failure, the handover process will be inevitable. However, there will be several challenges that must be noticed, such as selecting an appropriate SBS for handover in order to improve the quality of service and reduce unnecessary handovers. In this paper, a profile-based predictive handover strategy (PBPHS) is presented to select the best alternative for handover and hence to reduce handovers handovers, according to a predictive model that is based on the previous user's utilization of resources and mobility tracking. The simulation results depicted the performance of the proposed handover strategy in the handover reduction rate, which on average outperforms the state-of-the-art methods by 13% to 26%.