2018/11/19 by Ning Wei, Xingqin Lin, Wei, Ning +5
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Artificial intelligence #Computer network #Computer science #Cooperative Communication and Network Coding #Distributed computing #FOS: Computer and information sciences #Mathematical optimization #Mathematics #Networking and Internet Architecture (cs.NI) #Optimal stopping #Power (physics) #Scheme (mathematics) #Selection (genetic algorithm) #Telecommunications #Throughput #Wireless #cs.NI
paper · pdf · doi:10.48550/arxiv.1811.07452
published in arXiv (Cornell University) (Cornell University) · 10 pages, 6 figures, submitted for publication
openalex publication_date 2018/11/19 · arxiv created 2019/05/21 · arxiv updated 2019/05/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Initial cell search and selection is one of the first few essential steps that a mobile device must perform to access a mobile network. The distinct features of 5G bring new challenges to the design of initial cell search and selection. In this paper, we propose a load-aware initial cell search and selection scheme for 5G networks. The proposed scheme augments the existing pure received power based scheme by incorporating a new load factor broadcast as part of system information. We then formulate a throughput optimization problem using the optimal stopping theory. We characterize the throughput optimal stopping strategy and the attained maximum throughput. The results show that the proposed cell search and selection scheme is throughput optimal with a carefully optimized connection threshold.