期刊
JOURNAL OF COMMUNICATIONS AND NETWORKS
卷 14, 期 2, 页码 151-161出版社
KOREAN INST COMMUNICATIONS SCIENCES (K I C S)
DOI: 10.1109/JCN.2012.6253063
关键词
Directional water-filling; energy harvesting networks; generalized iterative water-filling; interference channel; sum-throughput maximization
资金
- NSF [CNS 0964364]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [0964364] Funding Source: National Science Foundation
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.
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