Symbol-Level Precoding Design for Intelligent Reflecting Surface Assisted Multi-User MIMO Systems
Intelligent reflecting surface (IRS)has emerged as a promising solution to enhance wireless information transmissions by adaptively controlling prorogation environment. Recently, the brand-new concept of utilizing IRS to implement a passive transmitter attracts researchers' attention since it p...
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| Vydáno v: | International Conference on Wireless Communications and Signal Processing s. 1 - 6 |
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| Jazyk: | angličtina |
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IEEE
01.10.2019
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| ISSN: | 2472-7628 |
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| Abstract | Intelligent reflecting surface (IRS)has emerged as a promising solution to enhance wireless information transmissions by adaptively controlling prorogation environment. Recently, the brand-new concept of utilizing IRS to implement a passive transmitter attracts researchers' attention since it potentially realizes low-complexity and hardware-efficient transmitters of multiple-input single/multiple-output (MISO/MIMO)systems. In this paper we investigate the problem of precoder design for a low-resolution IRS-based transmitter to implement multi-user MISO/MIMO wireless communications. Particularly, the IRS modulates information symbols by varying the phases of its reflecting elements and transmits them to K single-antenna or multi-antenna users. We first aim to design the symbol-level precoder for IRS to realize the modulation and minimize the maximum symbol-error-rate (SER)of single-antenna receivers. In order to tackle this NP-hard problem, we first relax the low-resolution phase-shift constraint and solve this problem by Riemannian conjugate gradient (RCG)algorithm. Then, the low-resolution symbol-level precoding vector is obtained by direct quantization. Considering the large quantization error for 1-bit resolution case, the branch-and-bound method is utilized to solve the 1-bit resolution symbol-level precoding vector. For multiantenna receivers, we propose to iteratively design the symbol-level precoder and combiner by decomposing the original large-scale optimization problem into several sub-problems. Simulation results validate the effectiveness of our proposed algorithms. |
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| AbstractList | Intelligent reflecting surface (IRS)has emerged as a promising solution to enhance wireless information transmissions by adaptively controlling prorogation environment. Recently, the brand-new concept of utilizing IRS to implement a passive transmitter attracts researchers' attention since it potentially realizes low-complexity and hardware-efficient transmitters of multiple-input single/multiple-output (MISO/MIMO)systems. In this paper we investigate the problem of precoder design for a low-resolution IRS-based transmitter to implement multi-user MISO/MIMO wireless communications. Particularly, the IRS modulates information symbols by varying the phases of its reflecting elements and transmits them to K single-antenna or multi-antenna users. We first aim to design the symbol-level precoder for IRS to realize the modulation and minimize the maximum symbol-error-rate (SER)of single-antenna receivers. In order to tackle this NP-hard problem, we first relax the low-resolution phase-shift constraint and solve this problem by Riemannian conjugate gradient (RCG)algorithm. Then, the low-resolution symbol-level precoding vector is obtained by direct quantization. Considering the large quantization error for 1-bit resolution case, the branch-and-bound method is utilized to solve the 1-bit resolution symbol-level precoding vector. For multiantenna receivers, we propose to iteratively design the symbol-level precoder and combiner by decomposing the original large-scale optimization problem into several sub-problems. Simulation results validate the effectiveness of our proposed algorithms. |
| Author | Liu, Rang Li, Ming Li, Hongyu Liu, Qian |
| Author_xml | – sequence: 1 givenname: Rang surname: Liu fullname: Liu, Rang organization: School of Information and Communication Engineering, Dalian University of Technology,Dalian, Liaoning,China,116024 – sequence: 2 givenname: Hongyu surname: Li fullname: Li, Hongyu organization: School of Information and Communication Engineering, Dalian University of Technology,Dalian, Liaoning,China,116024 – sequence: 3 givenname: Ming surname: Li fullname: Li, Ming organization: School of Information and Communication Engineering, Dalian University of Technology,Dalian, Liaoning,China,116024 – sequence: 4 givenname: Qian surname: Liu fullname: Liu, Qian organization: School of Computer Science and Technology, Dalian University of Technology,Dalian, Liaoning,China,116024 |
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| Snippet | Intelligent reflecting surface (IRS)has emerged as a promising solution to enhance wireless information transmissions by adaptively controlling prorogation... |
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| SubjectTerms | constant envelope precoding Information processing Intelligent reflecting surface (IRS) low-resolution phases MIMO communication multiple-input multiple-output (MIMO) Optimization Precoding Receivers symbol-level precoding Transmitters Wireless communication |
| Title | Symbol-Level Precoding Design for Intelligent Reflecting Surface Assisted Multi-User MIMO Systems |
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