Initial Cell Search and Selection for Load Balancing and Throughput Optimization in 5G Millimeter Wave Networks
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The increasing adoption of the Internet of Things (IoT) requires careful design and optimization of the next-generation mobile networks (a.k.a. 5G) in every aspect to efficiently cope with the diverse and wide range of IoT requirements. 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 millimeter wave 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 initial cell search and selection scheme is throughput optimal with a carefully optimized connection threshold.
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