2017/01/10 by Rajshekhar Vishweshwar Bhat, Bhat, Rajshekhar Vishweshwar, Mehul Motani +3
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.1701.02444
openalex publication_date 2017/01/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Modern systems will increasingly rely on energy harvested from their\nenvironment. Such systems utilize batteries to smoothen out the random\nfluctuations in harvested energy. These fluctuations induce highly variable\nbattery charge and discharge rates, which affect the efficiencies of practical\nbatteries that typically have non-zero internal resistances. In this paper, we\nstudy an energy harvesting communication system using a finite battery with\nnon-zero internal resistance. We adopt a dual-path architecture, in which\nharvested energy can be directly used, or stored and then used. In a frame,\nboth time and power can be split between energy storage and data transmission.\nFor a single frame, we derive an analytical expression for the rate optimal\ntime and power splitting ratios between harvesting energy and transmitting\ndata. We then optimize the time and power splitting ratios for a group of\nframes, assuming non-causal knowledge of harvested power and fading channel\ngains, by giving an approximate solution. When only the statistics of the\nenergy arrivals and channel gains are known, we derive a dynamic programming\nbased policy and, propose three sub-optimal policies, which are shown to\nperform competitively. In summary, our study suggests that battery internal\nresistance significantly impacts the design and performance of energy\nharvesting communication systems and must be taken into account.\n