DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Seungsik | ko |
dc.contributor.author | Lee, Hyeongtaek | ko |
dc.contributor.author | Choi, Junil | ko |
dc.contributor.author | Lee, Youngjoo | ko |
dc.date.accessioned | 2022-06-14T02:00:41Z | - |
dc.date.available | 2022-06-14T02:00:41Z | - |
dc.date.created | 2022-06-13 | - |
dc.date.created | 2022-06-13 | - |
dc.date.created | 2022-06-13 | - |
dc.date.issued | 2022-05 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.5, pp.5587 - 5592 | - |
dc.identifier.issn | 0018-9545 | - |
dc.identifier.uri | http://hdl.handle.net/10203/296916 | - |
dc.description.abstract | In this paper, we propose a cost-efficient beamforming optimization algorithm for multi-user wireless communication systems associated with the intelligent reflecting surface (IRS). From the baseline successive refinement algorithm, which gives a sub-optimal solution for the power minimization problem under the signal-to-interference-plus-noise-ratio (SINR) constraint at each user, several optimization techniques are proposed to reduce the computation complexity while maintaining the algorithm-level performance. To reduce the number of required multiply-accumulate (MAC) operations, we first simplify the complicated matrix inversion by utilizing the channel hardening effect. We also present the two-phase refinement process for the group-level optimization of phase-shift elements, further relaxing the computation complexity as well as the processing latency. Applying the proposed optimization techniques, as a result, numerical results show that the fully-optimized algorithm can reduce the computational costs by up to 89.4% while showing less than 1 dB power loss, leading to the practical solution for the next-generation IRS-aided communication. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Low-Complexity Beamforming Optimization for IRS-Aided MU-MIMO Wireless Systems | - |
dc.type | Article | - |
dc.identifier.wosid | 000799654900088 | - |
dc.identifier.scopusid | 2-s2.0-85125299861 | - |
dc.type.rims | ART | - |
dc.citation.volume | 71 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 5587 | - |
dc.citation.endingpage | 5592 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | - |
dc.identifier.doi | 10.1109/TVT.2022.3152253 | - |
dc.contributor.localauthor | Choi, Junil | - |
dc.contributor.nonIdAuthor | Moon, Seungsik | - |
dc.contributor.nonIdAuthor | Lee, Youngjoo | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Array signal processing | - |
dc.subject.keywordAuthor | Signal to noise ratio | - |
dc.subject.keywordAuthor | Interference | - |
dc.subject.keywordAuthor | Computational efficiency | - |
dc.subject.keywordAuthor | Wireless communication | - |
dc.subject.keywordAuthor | Convergence | - |
dc.subject.keywordAuthor | Beamforming optimization | - |
dc.subject.keywordAuthor | intelligent reflecting surface | - |
dc.subject.keywordAuthor | low-cost algorithm | - |
dc.subject.keywordAuthor | multi-user communications | - |
dc.subject.keywordPlus | INTELLIGENT REFLECTING SURFACE | - |
dc.subject.keywordPlus | MISO | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.