Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, severe path loss and high directivity make it vulnerable to blockage events, which can be frequent in indoor and dense urban environments. To address this...
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| Published in | IEEE transactions on vehicular technology Vol. 69; no. 12; pp. 14960 - 14973 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9545 1939-9359 |
| DOI | 10.1109/TVT.2020.3031657 |
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| Abstract | Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, severe path loss and high directivity make it vulnerable to blockage events, which can be frequent in indoor and dense urban environments. To address this issue, in this paper, we introduce intelligent reflecting surface (IRS) as a new technology to provide effective reflected paths to enhance the coverage of mmWave signals. In this framework, we study joint active and passive precoding design for IRS-assisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver. Our objective is to maximize the received signal power by jointly optimizing the BS's transmit precoding vector and IRSs' phase shift coefficients. Although such an optimization problem is generally non-convex, we show that, by exploiting some important characteristics of mmWave channels, an optimal closed-form solution can be derived for the single IRS case and a near-optimal analytical solution can be obtained for the multi-IRS case. Our analysis reveals that the received signal power increases quadratically with the number of reflecting elements for both the single IRS and multi-IRS cases. Simulation results are included to verify the optimality and near-optimality of our proposed solutions. Results also show that IRSs can help create effective virtual line-of-sight (LOS) paths and thus substantially improve robustness against blockages in mmWave communications. |
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| AbstractList | Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, severe path loss and high directivity make it vulnerable to blockage events, which can be frequent in indoor and dense urban environments. To address this issue, in this paper, we introduce intelligent reflecting surface (IRS) as a new technology to provide effective reflected paths to enhance the coverage of mmWave signals. In this framework, we study joint active and passive precoding design for IRS-assisted mmWave systems, where multiple IRSs are deployed to assist the data transmission from a base station (BS) to a single-antenna receiver. Our objective is to maximize the received signal power by jointly optimizing the BS's transmit precoding vector and IRSs’ phase shift coefficients. Although such an optimization problem is generally non-convex, we show that, by exploiting some important characteristics of mmWave channels, an optimal closed-form solution can be derived for the single IRS case and a near-optimal analytical solution can be obtained for the multi-IRS case. Our analysis reveals that the received signal power increases quadratically with the number of reflecting elements for both the single IRS and multi-IRS cases. Simulation results are included to verify the optimality and near-optimality of our proposed solutions. Results also show that IRSs can help create effective virtual line-of-sight (LOS) paths and thus substantially improve robustness against blockages in mmWave communications. |
| Author | Chen, Zhi Li, Hongbin Wang, Peilan Yuan, Xiaojun Fang, Jun |
| Author_xml | – sequence: 1 givenname: Peilan orcidid: 0000-0002-2423-1562 surname: Wang fullname: Wang, Peilan email: peilan_wangle@std.uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 2 givenname: Jun orcidid: 0000-0001-7427-4723 surname: Fang fullname: Fang, Jun email: JunFang@uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 3 givenname: Xiaojun orcidid: 0000-0002-0433-6535 surname: Yuan fullname: Yuan, Xiaojun email: xjyuan@uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 4 givenname: Zhi orcidid: 0000-0003-2943-9861 surname: Chen fullname: Chen, Zhi email: chenzhi@uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China – sequence: 5 givenname: Hongbin orcidid: 0000-0003-1453-847X surname: Li fullname: Li, Hongbin email: Hongbin.Li@stevens.edu organization: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA |
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| Snippet | Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, severe path... |
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| SubjectTerms | Array signal processing Data communication Data transmission Directivity Exact solutions Indoor environments Intelligent reflecting surfaces (IRS)-assisted mmWave systems joint active and passive precoding design Line of sight communication Mathematical analysis Millimeter wave communication Millimeter waves New technology Optimization Precoding Receivers Reconfigurable intelligent surfaces Transmitting antennas Urban environments |
| Title | Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design |
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