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http://bura.brunel.ac.uk/handle/2438/25948Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhou, Y | - |
| dc.contributor.author | Pan, C | - |
| dc.contributor.author | Yeoh, PL | - |
| dc.contributor.author | Wang, K | - |
| dc.contributor.author | Ma, Z | - |
| dc.contributor.author | Vucetic, B | - |
| dc.contributor.author | Li, Y | - |
| dc.date.accessioned | 2023-02-12T12:12:15Z | - |
| dc.date.available | 2023-02-12T12:12:15Z | - |
| dc.date.issued | 2023-02-07 | - |
| dc.identifier | ORCID iD: Yi Zhou https://orcid.org/0000-0001-6407-068X | - |
| dc.identifier | ORCID iD: Cunhua Pan https://orcid.org/0000-0001-5286-7958 | - |
| dc.identifier | ORCID iD: Phee Lep Yeoh https://orcid.org/0000-0002-2516-4226 | - |
| dc.identifier | ORCID iD: Kezhi Wang https://orcid.org/0000-0001-8602-0800 | - |
| dc.identifier | ORCID iD: Zheng Ma https://orcid.org/0000-0002-0251-1483 | - |
| dc.identifier | ORCID iD: Branka Vucetic https://orcid.org/0000-0002-2700-2001 | - |
| dc.identifier | ORCID iD: Yonghui Li https://orcid.org/0000-0001-7702-1123 | - |
| dc.identifier.citation | Zhou, Y. et al. (2023) 'Joint Optimization for Cooperative Computing Framework in Double-IRS-Aided MEC Systems', IEEE Wireless Communications Letters, 12 (5), pp. 779 - 783. doi: 10.1109/lwc.2023.3243031. | en_US |
| dc.identifier.issn | 2162-2337 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/25948 | - |
| dc.description.abstract | This letter investigates a cooperative task computing framework, where the source node partially offloads its computational task to multiple user equipments (UEs) aided by double intelligent reflecting surfaces (IRSs). With the aim of maximizing the total amount of computing task subject to latency and power constraints, we highlight an interesting tradeoff between the transmit power and the computing power at the source node and optimize the computing frequency resources as well as phase shift matrices for double IRSs. Numerical results verify the power allocation tradeoff and demonstrate the superiority of our double-IRS-aided solution in terms of maximizing the total amount of computing task over other benchmark strategies. | - |
| dc.description.sponsorship | Natural Science Foundation of Sichuan Province under Grant 2022NSFSC0887; Fundamental Research Funds for the Central Universities under Grant 2682021ZTPY117 and 2682022CX020; National Natural Science Foundation of China under Grant 62201137; National Natural Science Foundation of China under Grant 62271419; Australian Research Council Laureate Fellowship grant number FL160100032; Australian Research Council Grant DP190101988 and DP210103410. | en_US |
| dc.format.extent | 779 - 783 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Copyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.subject | double-IRS | en_US |
| dc.subject | cooperative computing | en_US |
| dc.subject | MEC | en_US |
| dc.title | Joint Optimization for Cooperative Computing Framework in Double-IRS-Aided MEC Systems | en_US |
| dc.type | Journal article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/lwc.2023.3243031 | - |
| dc.relation.isPartOf | IEEE Wireless Communications Letters | - |
| pubs.issue | 5 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 12 | - |
| dc.identifier.eissn | 2162-2345 | - |
| dc.rights.holder | Institute of Electrical and Electronics Engineers (IEEE) | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html | 321.74 kB | Adobe PDF | View/Open |
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