Home > Research > Publications & Outputs > Power allocation strategies in energy harvestin...
View graph of relations

Power allocation strategies in energy harvesting wireless cooperative networks

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Power allocation strategies in energy harvesting wireless cooperative networks. / Ding, Zhiguo; Perlaza, S. M.; Esnaola, I. et al.
In: IEEE Transactions on Wireless Communications, Vol. 13, No. 2, 01.02.2014, p. 846-860 .

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ding, Z, Perlaza, SM, Esnaola, I & Poor, HV 2014, 'Power allocation strategies in energy harvesting wireless cooperative networks', IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 846-860 . https://doi.org/10.1109/TWC.2013.010213.130484

APA

Ding, Z., Perlaza, S. M., Esnaola, I., & Poor, H. V. (2014). Power allocation strategies in energy harvesting wireless cooperative networks. IEEE Transactions on Wireless Communications, 13(2), 846-860 . https://doi.org/10.1109/TWC.2013.010213.130484

Vancouver

Ding Z, Perlaza SM, Esnaola I, Poor HV. Power allocation strategies in energy harvesting wireless cooperative networks. IEEE Transactions on Wireless Communications. 2014 Feb 1;13(2):846-860 . doi: 10.1109/TWC.2013.010213.130484

Author

Ding, Zhiguo ; Perlaza, S. M. ; Esnaola, I. et al. / Power allocation strategies in energy harvesting wireless cooperative networks. In: IEEE Transactions on Wireless Communications. 2014 ; Vol. 13, No. 2. pp. 846-860 .

Bibtex

@article{7f5ae73822954e6b9fa64b3125851342,
title = "Power allocation strategies in energy harvesting wireless cooperative networks",
abstract = "In this paper, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. The focus of this paper is on the relay's strategies to distribute the harvested energy among the multiple users and their impact on the system performance. Specifically, a non-cooperative strategy that uses the energy harvested from the i-th source as the relay transmission power to the i-th destination is considered first, and asymptotic results show that its outage performance decays as log SNR/SNR. A faster decay rate, 1/SNR, can be achieved by two centralized strategies proposed next, of which a water filling based one can achieve optimal performance with respect to several criteria, at the price of high complexity. An auction based power allocation scheme is also proposed to achieve a better tradeoff between system performance and complexity. Simulation results are provided to confirm the accuracy of the developed analytical results.",
author = "Zhiguo Ding and Perlaza, {S. M.} and I. Esnaola and Poor, {H. V.}",
year = "2014",
month = feb,
day = "1",
doi = "10.1109/TWC.2013.010213.130484",
language = "English",
volume = "13",
pages = "846--860 ",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Power allocation strategies in energy harvesting wireless cooperative networks

AU - Ding, Zhiguo

AU - Perlaza, S. M.

AU - Esnaola, I.

AU - Poor, H. V.

PY - 2014/2/1

Y1 - 2014/2/1

N2 - In this paper, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. The focus of this paper is on the relay's strategies to distribute the harvested energy among the multiple users and their impact on the system performance. Specifically, a non-cooperative strategy that uses the energy harvested from the i-th source as the relay transmission power to the i-th destination is considered first, and asymptotic results show that its outage performance decays as log SNR/SNR. A faster decay rate, 1/SNR, can be achieved by two centralized strategies proposed next, of which a water filling based one can achieve optimal performance with respect to several criteria, at the price of high complexity. An auction based power allocation scheme is also proposed to achieve a better tradeoff between system performance and complexity. Simulation results are provided to confirm the accuracy of the developed analytical results.

AB - In this paper, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. The focus of this paper is on the relay's strategies to distribute the harvested energy among the multiple users and their impact on the system performance. Specifically, a non-cooperative strategy that uses the energy harvested from the i-th source as the relay transmission power to the i-th destination is considered first, and asymptotic results show that its outage performance decays as log SNR/SNR. A faster decay rate, 1/SNR, can be achieved by two centralized strategies proposed next, of which a water filling based one can achieve optimal performance with respect to several criteria, at the price of high complexity. An auction based power allocation scheme is also proposed to achieve a better tradeoff between system performance and complexity. Simulation results are provided to confirm the accuracy of the developed analytical results.

U2 - 10.1109/TWC.2013.010213.130484

DO - 10.1109/TWC.2013.010213.130484

M3 - Journal article

VL - 13

SP - 846

EP - 860

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 2

ER -