Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107086
DC Field | Value | Language |
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dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Xie, H | - |
dc.creator | Xu, J | - |
dc.creator | Liu, YF | - |
dc.creator | Liu, L | - |
dc.creator | Ng, DWK | - |
dc.date.accessioned | 2024-06-13T01:03:47Z | - |
dc.date.available | 2024-06-13T01:03:47Z | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.uri | http://hdl.handle.net/10397/107086 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 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. | en_US |
dc.rights | The following publication H. Xie, J. Xu, Y. -F. Liu, L. Liu and D. W. K. Ng, "User Grouping and Reflective Beamforming for IRS-Aided URLLC," in IEEE Wireless Communications Letters, vol. 10, no. 11, pp. 2533-2537, Nov. 2021 is available at https://doi.org/10.1109/LWC.2021.3106548. | en_US |
dc.subject | Intelligent reflecting surface (IRS) | en_US |
dc.subject | Reflective beamforming | en_US |
dc.subject | Ultra-reliable and low-latency communication (URLLC) | en_US |
dc.subject | User grouping | en_US |
dc.title | User grouping and reflective beamforming for IRS-aided URLLC | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2533 | - |
dc.identifier.epage | 2537 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 11 | - |
dc.identifier.doi | 10.1109/LWC.2021.3106548 | - |
dcterms.abstract | This letter studies an intelligent reflecting surface (IRS)-aided downlink ultra-reliable and low-latency communication (URLLC) system, in which an IRS is dedicatedly deployed to assist a base station (BS) to send individual short-packet messages to multiple users. To enhance the URLLC performance, the users are divided into different groups and the messages for users in each group are encoded into a single codeword. By considering the time division multiple access (TDMA) protocol among different groups, our objective is to minimize the total latency for all users subject to their individual reliability requirements, via jointly optimizing the user grouping and blocklength allocation at the BS together with the reflective beamforming at the IRS. We solve the latency minimization problem via the alternating optimization, in which the blocklengths and the reflective beamforming are optimized by using the techniques of successive convex approximation (SCA) and semi-definite relaxation (SDR), while the user grouping is updated by K-means and greedy-based methods. Numerical results show that the proposed designs can significantly reduce the communication latency, as compared to various benchmark schemes, which unveil the importance of user grouping and reflective beamforming optimization for exploiting the joint encoding gain and enhancing the worst-case user performance. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE wireless communications letters, Nov. 2021, v. 10, no. 11, p. 2533-2537 | - |
dcterms.isPartOf | IEEE wireless communications letters | - |
dcterms.issued | 2021-11 | - |
dc.identifier.scopus | 2-s2.0-85113308481 | - |
dc.identifier.eissn | 2162-2345 | - |
dc.description.validate | 202403 bckw | - |
dc.description.oa | Author’s Original | en_US |
dc.identifier.FolderNumber | EIE-0008 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Key Research and Development Program of China; Science and Technology Program of Guangdong Province; Key Area Research and Development Program of Guangdong Province; National Natural Science Foundation of China; Hong Kong Polytechnic University; UNSW Digital Grid Futures Institute, UNSW, Sydney; Australian Research Council’s Discovery Project | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 55680265 | en_US |
dc.description.oaCategory | Green (AO) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Liu_User_Grouping_Reflective.pdf | Preprint version | 346.62 kB | Adobe PDF | View/Open |
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