dc.contributor.author | Zhou, W | |
dc.contributor.author | Xing, L | |
dc.contributor.author | Xia, J | |
dc.contributor.author | Fan, L | |
dc.contributor.author | Nallanathan, A | |
dc.date.accessioned | 2021-06-16T10:06:11Z | |
dc.date.available | 2021-06-16T10:06:11Z | |
dc.date.issued | 2021-04-01 | |
dc.identifier.citation | Zhou, Wen et al. "Dynamic Computation Offloading For MIMO Mobile Edge Computing Systems With Energy Harvesting". IEEE Transactions On Vehicular Technology, vol 70, no. 5, 2021, pp. 5172-5177. Institute Of Electrical And Electronics Engineers (IEEE), doi:10.1109/tvt.2021.3075018. Accessed 16 June 2021. | en_US |
dc.identifier.issn | 0018-9545 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/72563 | |
dc.description.abstract | By providing spatial diversity gain, the incorporation of multiple antennas into mobile edge computing (MEC) systems can improve the transmission performance. Meanwhile, employing energy harvesting (EH) helps enhance the system sustainability. In this paper, we focus on multi-input multi-output (MIMO) MEC systems with EH and studies the computation offloading. The design objective is to minimize the time average of a weighted sum of energy consumption and execution delay, meanwhile stabilizing the battery energy queue. To this end, we formulate the problem as a statistic program and propose a dynamic computation offloading (DCO) algorithm in which the transmitter covariance matrix, CPU-cycle frequencies for local computing, and partial offloading ratio are jointly optimized. Based on Lyapunov optimization, the program is first transformed into a nonconvex per-time slot problem. Then, we solve it by the successive convex approximation (SCA) technique, where a sequence of convex problems are created and solved. Simulation results demonstrate that the proposed algorithm is asymptotically optimal and outperforms several benchmark schemes in terms of both the average system cost and task drop ratio. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Transactions on Vehicular Technology | |
dc.title | Dynamic Computation Offloading for MIMO Mobile Edge Computing Systems with Energy Harvesting | en_US |
dc.type | Article | en_US |
dc.rights.holder | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
dc.identifier.doi | 10.1109/TVT.2021.3075018 | |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |