2015/08/19 by Meysam Shahrbaf Motlagh, Motlagh, Meysam Shahrbaf, Masoud Badiei Khuzani +3 · 1 citation
Engineering · #Energy Harvesting in Wireless Networks #Advanced MIMO Systems Optimization #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1508.04526
We study the problem of lossy joint source-channel coding in a single-user\nenergy harvesting communication system with causal energy arrivals and the\nenergy storage unit may have leakage. In particular, we investigate the\nachievable distortion in the transmission of a single source via an energy\nharvesting transmitter over a point-to-point channel. We consider an adaptive\njoint source-channel coding system, where the length of channel codewords\nvaries based on the available battery charge. We first establish a lower bound\non the achievable distortion. Then, as necessary conditions for local\noptimality, we obtain two coupled equations that determine the mismatch ratio\nbetween channel symbols and source symbols as well as the transmission power,\nboth as functions of the battery charge. As examples of continuous and discrete\nsources, we consider Gaussian and binary sources respectively. For the Gaussian\ncase, we obtain a closed-form expression for the mismatch factor in terms of\nthe Lambert W function, and show that an increasing transmission power policy\nresults in a decreasing mismatch factor policy and vice versa. Finally, we\nnumerically compare the performance of the adaptive mismatch factor scheme to\nthe case of a constant mismatch factor.\n