Beamforming Design for IRS-assisted D2D Communication System Under Urban Street Scenarios

ZHANG Zufan; LIU Jian; ZHANG Chenlu

doi:10.11999/JEIT240112

Volume 46 Issue 9

Sep. 2024

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ZHANG Zufan, LIU Jian, ZHANG Chenlu. Beamforming Design for IRS-assisted D2D Communication System Under Urban Street Scenarios[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3571-3582. doi: 10.11999/JEIT240112

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ZHANG Zufan, LIU Jian, ZHANG Chenlu. Beamforming Design for IRS-assisted D2D Communication System Under Urban Street Scenarios[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3571-3582. doi: 10.11999/JEIT240112

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Beamforming Design for IRS-assisted D2D Communication System Under Urban Street Scenarios

doi: 10.11999/JEIT240112

1.
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Vivo Mobile Communication CO. LTD., Shenzhen 518049, China

Funds: The National Natural Science Foundation of China (62202077), The Youth Project of Science and Technology Research Program of Chongqing Municipal Education Commission, China (KJQN0202200609)

Received Date: 2024-02-28
Rev Recd Date: 2024-08-23

Available Online: 2024-08-31

Publish Date: 2024-09-26

Abstract

Abstract

Considering the spectrum sharing between cellular users and D2D users, and the wireless channel characteristic of urban streets, an Intelligent Reflecting Surface (IRS)-assisted joint beamforming method is proposed. Under the constraints of signal to interference plus noise ratio for D2D link, the parameter including optimal beamforming vectors and phase-shift matrices and D2D transmitting powers are designed with the objective of maximizing cellular user capacity. The nonconvex coupling variable optimization problem is transformed into the convex decoupling variable optimization problem and binary search power allocation by introducing slack variables, and the reflection phase-shift matrices are also optimized with Riemann conjugate gradient algorithms. Simulation results show that the proposed algorithm has perfect convergence and higher user channel capacity comparing with the baseline schemes.
- Intelligent Reflecting Surface (IRS),
- D2D,
- Beamforming,
- Alternating optimization

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References(31)

References

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