2011/09/26 by Bertrand Devillers, Devillers, Bertrand, Denız Gündüz +1 · 1 citation
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Power Transfer Systems
paper · pdf · doi:10.48550/arxiv.1109.5490
openalex publication_date 2011/09/26 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
Energy harvesting has emerged as a powerful technology for complementing\ncurrent battery-powered communication systems in order to extend their\nlifetime. In this paper a general framework is introduced for the optimization\nof communication systems in which the transmitter is able to harvest energy\nfrom its environment. Assuming that the energy arrival process is known\nnon-causally at the transmitter, the structure of the optimal transmission\nscheme, which maximizes the amount of transmitted data by a given deadline, is\nidentified. Our framework includes models with continuous energy arrival as\nwell as battery constraints. A battery that suffers from energy leakage is\nstudied further, and the optimal transmission scheme is characterized for a\nconstant leakage rate.\n