Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems
Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) sys...
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| Published in | IEEE wireless communications letters Vol. 9; no. 10; pp. 1658 - 1662 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.10.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) IEEE comsoc |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert the optimization problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users. |
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| AbstractList | Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert the optimization problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users. Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert this problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users. |
| Author | Wang, Kezhi Zhou, Gui Ren, Hong Renzo, Marco Di Pan, Cunhua Nallanathan, Arumugam |
| Author_xml | – sequence: 1 givenname: Gui orcidid: 0000-0003-1812-8830 surname: Zhou fullname: Zhou, Gui email: g.zhou@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K – sequence: 2 givenname: Cunhua orcidid: 0000-0001-5286-7958 surname: Pan fullname: Pan, Cunhua email: c.pan@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K – sequence: 3 givenname: Hong orcidid: 0000-0002-3477-1087 surname: Ren fullname: Ren, Hong email: h.ren@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K – sequence: 4 givenname: Kezhi orcidid: 0000-0001-8602-0800 surname: Wang fullname: Wang, Kezhi email: kezhi.wang@northumbria.ac.uk organization: Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K – sequence: 5 givenname: Marco Di surname: Renzo fullname: Renzo, Marco Di email: marco.direnzo@centralesupelec.fr organization: Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France – sequence: 6 givenname: Arumugam orcidid: 0000-0001-8337-5884 surname: Nallanathan fullname: Nallanathan, Arumugam email: a.nallanathang@qmul.ac.uk organization: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K |
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| Cites_doi | 10.1109/GLOBECOM38437.2019.9014322 10.1109/JSAC.2020.3007035 10.1186/s13638-019-1438-9 10.1007/s11081-015-9294-x 10.1109/TWC.2019.2961990 10.1109/TSP.2004.838933 10.1109/LWC.2019.2950624 10.1109/TWC.2019.2936025 10.1109/JSAC.2020.3000802 10.1017/CBO9780511804441 10.1109/TSP.2020.2990098 10.1137/S1052623403421498 10.1109/ACCESS.2019.2935192 10.1109/JSAC.2020.3000814 10.1109/JSAC.2017.2710858 |
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| Keywords | imperfect channel state information (CSI) robust design Intelligent reflecting surface (IRS) semidefinite program (SDP) large intelligent surface (LIS) |
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| SubjectTerms | Array signal processing Beamforming Channel state information Communications systems Engineering Sciences imperfect channel state information (CSI) Intelligent reflecting surface (IRS) large intelligent surface (LIS) MISO (control systems) MISO communication Optimization Precoding Quality of service Reconfigurable intelligent surfaces robust design Robustness (mathematics) semidefinite program (SDP) Signal and Image processing Signal processing State (computer science) Surface treatment Uncertainty |
| Title | Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems |
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