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Wireless Network Coding With Intelligent Reflecting Surfaces

delete2021-10-01
delete11
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OA
AI
A
Amanat Kafizov
A
Ahmed Elzanaty *
L
Lav R. Varshney
M
Mohamed‐Slim Alouini
DOI:10.1109/LCOMM.2021.3098750delete
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Abstract

Abstract

En 中文
Conventional wireless techniques are becoming inadequate for beyond-5G networks due to latency and bandwidth considerations. To improve the error performance of wireless communication systems, we propose physical layer network coding (PNC) in an intelligent reflecting surface (IRS)-assisted environment. We consider an IRS-aided butterfly network, where we propose an algorithm for obtaining the optimal IRS phases. Analytic expressions for the bit error rate (BER) are derived. Numerical results demonstrate that the proposed scheme significantly improves the BER performance. For instance, the BER at the relay in the presence of a 32-element IRS is three orders of magnitudes less than that without an IRS.
Keywords:
Relays
Bit error rate
Optimization
Network coding
Wireless sensor networks
Array signal processing
Estimation
Intelligent reflecting surfaces
network coding
butterfly network
performance analysis

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

K
king abdullah university of science & technology
Scholars:
1.3W
Papers: 1.3W
Citations: 32
S
Sinai University
Scholars:
349
Papers: 287
Citations: 510
Cited Papers

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