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Link to original content: https://doi.org/10.48550/arXiv.2205.00331
[2205.00331] Dual-Beam Intelligent Reflecting Surface for Millimeter and THz Communications
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Computer Science > Information Theory

arXiv:2205.00331 (cs)
[Submitted on 30 Apr 2022]

Title:Dual-Beam Intelligent Reflecting Surface for Millimeter and THz Communications

Authors:Wei Jiang, Hans Dieter Schotten
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Abstract:Intelligent reflecting surface (IRS) is a cost-efficient technique to improve power efficiency and spectral efficiency. However, IRS-aided multi-antenna transmission needs to jointly optimize the passive and active beamforming, imposing a high computational burden and high latency due to its iterative optimization process. Making use of hybrid analog-digital beamforming in high-frequency transmission systems, a novel technique, coined dual-beam IRS, is proposed in this paper. The key idea is to form a pair of beams towards the IRS and user, respectively. Then, the optimization of passive and active beamforming can be decoupled, resulting in a simplified system design. Simulation results corroborate that it achieves a good balance between the cell-edge and cell-center performance. Compared with the performance bound, the gap is moderate, but it remarkably outperforms other sub-optimal schemes.
Comments: 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring)
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2205.00331 [cs.IT]
  (or arXiv:2205.00331v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2205.00331

Submission history

From: Wei Jiang [view email]
[v1] Sat, 30 Apr 2022 19:39:23 UTC (231 KB)
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