dc.contributor.author | Zhi, K | |
dc.contributor.author | Pan, C | |
dc.contributor.author | Ren, H | |
dc.contributor.author | Wang, K | |
dc.date.accessioned | 2021-03-30T14:47:32Z | |
dc.date.available | 2021-03-30T14:47:32Z | |
dc.date.issued | 2021-02-01 | |
dc.identifier.issn | 2162-2337 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/70960 | |
dc.description.abstract | IEEE This paper investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel state information (CSI). We first derive the closed-form expression of the uplink ergodic data rate. Then, based on the derived expression, we use the genetic algorithm (GA) to solve the sum data rate maximization problem. With low-complexity maximal-ratio combination (MRC) and low-overhead statistical CSI-based scheme, we validate that the RIS can bring significant performance gains to the traditional mMIMO systems. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Wireless Communications Letters | |
dc.title | Statistical CSI-based Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Direct Links | 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/LWC.2021.3059938 | |
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 |