Performance Analysis of Discrete-Phase-Shifter IRS-aided Amplify-and-Forward Relay Network

DONG Rongen; XIE Zhongyi; MA Haibo; ZHAO Feilong; SHU Feng

doi:10.11999/JEIT240236

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DONG Rongen, XIE Zhongyi, MA Haibo, ZHAO Feilong, SHU Feng. Performance Analysis of Discrete-Phase-Shifter IRS-aided Amplify-and-Forward Relay Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240236

Citation:

DONG Rongen, XIE Zhongyi, MA Haibo, ZHAO Feilong, SHU Feng. Performance Analysis of Discrete-Phase-Shifter IRS-aided Amplify-and-Forward Relay Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240236

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Performance Analysis of Discrete-Phase-Shifter IRS-aided Amplify-and-Forward Relay Network

doi: 10.11999/JEIT240236

1.
School of Information and Communication Engineering, Hainan University, Haikou 570228, China
2.
Purple Mountain Laboratories, Nanjing 210094, China
3.
China Mobile Group Hainan Co., Ltd., Haikou 571250, China

Funds: The National Natural Science Foundation of China (U22A2002, 62071234), The Hainan Province Science and Technology Special Fund (ZDKJ2021022), The Scientific Research Fund Project of Hainan University (KYQD(ZR)-21008), The Collaborative Innovation Center of Information Technology, Hainan University (XTCX2022XXC07)

Received Date: 2024-03-13
Rev Recd Date: 2024-07-17

Available Online: 2024-07-04

Abstract

Abstract

As a new technology to reconfigure wireless communication environment by intelligently controlling signal reflection via algorithms, Intelligent Reflecting Surface (IRS) has attracted lots of attention in recent years. Compared with the conventional relay system, the relay system aided by IRS can effectively save the cost and energy consumption, and significantly enhance the system performance. However, the phase quantization error generated by IRS with discrete phase shifter may degrade the performance of the receiver. To analyze the performance loss arising from IRS phase quantization error, in accordance with the weak law of large numbers and Rayleigh distribution, the closed-form expressions for the Signal-to-Noise Ratio (SNR) performance loss and achievable rate of the double IRS-aided amplify-and-forward relay network, which are associated with the number of phase shifter quantization bits, are derived in the Rayleigh channels. In addition, their approximate performance loss closed-form expressions are also derived based on the Taylor series expansion. Simulation results show that the performance losses of SNR and achievable rate decrease gradually with the number of quantization bits, and increase gradually with the number of IRS phase shift elements. When the number of IRS phase shift elements is 4, the performance losses of SNR and reachable rate are less than 0.06 dB and 0.03 bits/(s·Hz), respectively.
- Intelligent Reflecting Surface (IRS),
- Amplify-and-forward relay,
- Signal-to-Noise Ratio (SNR),
- Achievable rate

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References(23)

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