2015/09/15 by Mohamed A. Arafa, Şennur Ulukuş, Arafa, Ahmed +1
Engineering · #Energy Harvesting in Wireless Networks #Advanced MIMO Systems Optimization #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1509.04698
We consider the effects of decoding costs in energy harvesting communication\nsystems. In our setting, receivers, in addition to transmitters, rely solely on\nenergy harvested from nature, and need to spend some energy in order to decode\ntheir intended packets. We model the decoding energy as an increasing convex\nfunction of the rate of the incoming data. In this setting, in addition to the\ntraditional energy causality constraints at the transmitters, we have the\ndecoding causality constraints at the receivers, where energy spent by the\nreceiver for decoding cannot exceed its harvested energy. We first consider the\npoint-to-point single-user problem where the goal is to maximize the total\nthroughput by a given deadline subject to both energy and decoding causality\nconstraints. We show that decoding costs at the receiver can be represented as\ngeneralized data arrivals at the transmitter, and thereby moving all system\nconstraints to the transmitter side. Then, we consider several multi-user\nsettings. We start with a two-hop network where the relay and the destination\nhave decoding costs, and show that separable policies, where the transmitter's\nthroughput is maximized irrespective of the relay's transmission energy\nprofile, are optimal. Next, we consider the multiple access channel (MAC) and\nthe broadcast channel (BC) where the transmitters and the receivers harvest\nenergy from nature, and characterize the maximum departure region. In all\nmulti-user settings considered, we decompose our problems into inner and outer\nproblems. We solve the inner problems by exploiting the structure of the\nparticular model, and solve the outer problems by water-filling algorithms.\n