2019/05/09 by Nof Abuzainab, Walid Saad, Abuzainab, Nof +3
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1906.00743
openalex publication_date 2019/05/09 · openalex created_date 2022/07/23 · openalex updated_date 2026/07/28
In this paper, a novel mean-field game framework is proposed for uplink power\ncontrol in an ultra-dense millimeter wave network. The proposed mean-field game\nconsiders the time evolution of the mobile users' orientations as well as the\nenergy available in their batteries, under adaptive user association. The\nobjective of each mobile user is then to find the optimal transmission power\nthat maximizes its energy efficiency. The expression of the energy efficiency\nis analytically derived for the realistic case of a finite size network.\nSimulation results show that the proposed approach yields gains of up to 24%,\nin terms of energy efficiency, compared to a baseline in which the nodes\ntransmit according to the path loss compensating power control policy.\n