2017/04/21 by Syed Awais Wahab Shah, Tamer Khattab, Shah, Syed Awais Wahab +5
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #Machine Learning (stat.ML) #Networking and Internet Architecture (cs.NI) #UAV Applications and Optimization
paper · pdf · doi:10.48550/arxiv.1705.03304
openalex publication_date 2017/04/21 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
The densification of small-cell base stations in a 5G architecture is a\npromising approach to enhance the coverage area and facilitate the ever\nincreasing capacity demand of end users. However, the bottleneck is an\nintelligent management of a backhaul/fronthaul network for these small-cell\nbase stations. This involves efficient association and placement of the\nbackhaul hubs that connects these small-cells with the core network.\nTerrestrial hubs suffer from an inefficient non line of sight link limitations\nand unavailability of a proper infrastructure in an urban area. Seeing the\npopularity of flying platforms, we employ here an idea of using networked\nflying platform (NFP) such as unmanned aerial vehicles (UAVs), drones, unmanned\nballoons flying at different altitudes, as aerial backhaul hubs. The\nassociation problem of these NFP-hubs and small-cell base stations is\nformulated considering backhaul link and NFP related limitations such as\nmaximum number of supported links and bandwidth. Then, this paper presents an\nefficient and distributed solution of the designed problem, which performs a\ngreedy search in order to maximize the sum rate of the overall network. A\nfavorable performance is observed via a numerical comparison of our proposed\nmethod with optimal exhaustive search algorithm in terms of sum rate and\nrun-time speed.\n