Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICC.2012.6364778
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dc.titleOutage minimization in fading channels under energy harvesting constraints
dc.contributor.authorHuang, C.
dc.contributor.authorZhang, R.
dc.contributor.authorCui, S.
dc.date.accessioned2014-06-19T03:22:38Z
dc.date.available2014-06-19T03:22:38Z
dc.date.issued2012
dc.identifier.citationHuang, C.,Zhang, R.,Cui, S. (2012). Outage minimization in fading channels under energy harvesting constraints. IEEE International Conference on Communications : 5788-5793. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICC.2012.6364778" target="_blank">https://doi.org/10.1109/ICC.2012.6364778</a>
dc.identifier.isbn9781457720529
dc.identifier.issn15503607
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71342
dc.description.abstractThis paper considers the use of energy harvesters in delay-constrained point-to-point wireless communications, where the source transmits with power drawn periodically from a device that harvests energy from the environment. In particular, the source is assumed to transmit over a block-fading channel with a constant transmission rate. It is also assumed that the channel state information (CSI) is unknown at the source but perfectly known at the destination, and the energy harvesting process is deterministic and known a priori at the source. The optimal power allocation is studied to minimize the receiver outage probability over a finite horizon of N energy-harvesting periods, each of which contains M communication blocks with independent channel fading coefficients. Although the outage minimization problem is shown to be non-convex, the optimal power allocation solution is obtained by the proposed forward search algorithm, which corresponds to an on-off transmission scheme. Moreover, a threshold-based sub-optimal low-complexity power allocation algorithm is proposed, which is shown to be asymptotically optimal as M goes to infinity. Finally, numerical results are provided to validate our analysis. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICC.2012.6364778
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICC.2012.6364778
dc.description.sourcetitleIEEE International Conference on Communications
dc.description.page5788-5793
dc.identifier.isiutNOT_IN_WOS
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