2016
DOI: 10.1109/jsac.2016.2545418
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Delay Constrained Energy Harvesting Networks with Limited Energy and Data Storage

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Cited by 38 publications
(40 citation statements)
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“…We now have the following lemmas characterizing the optimal solution of problem (13): {x * i }. Lemmas 1 and 3 show that the sequence {x * i } N +1 i=2 is non-increasing, and derive necessary conditions for it to strictly decrease.…”
Section: Solution Building Block: the Single-user Channelmentioning
confidence: 99%
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“…We now have the following lemmas characterizing the optimal solution of problem (13): {x * i }. Lemmas 1 and 3 show that the sequence {x * i } N +1 i=2 is non-increasing, and derive necessary conditions for it to strictly decrease.…”
Section: Solution Building Block: the Single-user Channelmentioning
confidence: 99%
“…In this case, the following theorem shows that the optimal solution is achieved by sending all updates back to back with the minimal interupdate time possible to allow the reception of all of them by the end of the relatively small session time T . Theorem 1 Let N d ≤ T < (N + 1)d. Then, the optimal solution of problem (13) is given by…”
Section: A N D ≤ T < (N + 1)dmentioning
confidence: 99%
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“…A data throughput maximization problem is investigated to obtain the optimal power allocation for delay-constrained traffic and no-delay-constrained traffic, respectively. The authors in [12] address the delay limited throughput maximization problems for an energy harvesting transmitter equipped with finite data buffer and energy buffer in the single user channel, the twoway channel, and the two-way relay channel, respectively. Further, both [13,14] consider the resource optimal problem for the multirelay scenario with limited data and energy buffers.…”
Section: Introductionmentioning
confidence: 99%
“…A distributed power control mechanism for the relaying terminals is developed by using stochastic game method. Specifically, all in [10][11][12][13][14] adopt the buffer-aided relay equipped both data buffer and energy buffer with the assumption of noncausal channel state information (CSI) and energy state information (ESI) which actually are not reasonable in practical scenario.…”
Section: Introductionmentioning
confidence: 99%