2019/12/08 by Ahmad Alsharoa, Hakim Ghazzai, Alsharoa, Ahmad +5
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #UAV Applications and Optimization
paper · pdf · doi:10.48550/arxiv.1912.03722
openalex publication_date 2019/12/08 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
This paper proposes an energy management framework for cellular heterogeneous\nnetworks (HetNets) supported by dynamic solar powered drones. A HetNet composed\nof a macrocell base station (BS), micro cell BSs, and drone small cell BSs are\ndeployed to serve the networks' subscribers. The drones can land at pre-planned\nlocations defined by the mobile operator and at the macrocell BS site where\nthey can charge their batteries. The objective of the framework is to jointly\ndetermine the optimal trips of the drones and the MBSs that can be safely\nturned off in order to minimize the total energy consumption of the network.\nThis is done while considering the cells' capacities and the minimum receiving\npower guaranteeing successful communications. To do so, an integer linear\nprogramming problem is formulated and optimally solved for three cases based on\nthe knowledge level about future renewable energy statistics of the drones. A\nlow complex relaxed solution is also developed. Its performances are shown to\nbe close to those of the optimal solutions. However, the gap increases as the\nnetwork becomes more congested. Numerical results investigate the performance\nof the proposed drone-based approach and show notable improvements in terms of\nenergy saving and network capacity.\n