Computer Science – Information Theory
Scientific paper
2011-10-27
Computer Science
Information Theory
to appear in Journal of Communications and Networks, Special Issue on Energy Harvesting in Wireless Networks, April 2012
Scientific paper
This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize the sum throughput with a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations. Next, stochastic data arrivals are addressed. Finally online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.
Tutuncuoglu Kaya
Yener Aylin
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