| 摘要: |
| 现有单智能反射面(Intelligent Reflecting Surface,IRS)系统在提升信号质量和扩展覆盖范围方面存在局限性,如何优化多IRS协作的信道建模与波束成形仍然是一个开放问题。为此,提出并分析了一种3-IRS协作辅助的无线通信系统(信号从基站经过IRS1、IRS2和IRS3最终到达用户端),设计了适应多IRS协作场景的信道矩阵模型,并推导出信号传输链路的表达式,同时设计了一种优化的无源波束成形矩阵,以最大化系统功率增益。仿真结果表明,在视距信道条件下,当元件数量从1 200增加到2 400时,单个IRS系统中的信噪比(Signal-to-Noise Ratio,SNR)提升约为6 dB,功率增益提升约为4倍;而在3-IRS系统中,SNR提升约为18 dB,功率增益提升约为64倍。在多IRS协作下,系统的信号质量和传输性能显著提高,且增益表现出明显的非线性增长。虽然部署更多IRS可以获得更大的功率增益,但是在实际应用中还需考虑能量损耗和IRS元件的成本。 |
| 关键词: 智能反射面 信道建模 波束成形设计 功率增益 |
| DOI:10.20079/j.issn.1001-893x.241025005 |
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| 基金项目:国家自然科学基金资助项目(62101273) |
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| Channel Modeling and Beamforming Design for 3-IRS-assisted Wireless Communication Systems |
| WANG Zhichao,CHEN Xiao |
| (1.School of Electronics and Information Engineering,Anhui Jianzhu University,Hefei 230601,China;2.School of Artificial Intelligence,Nanjing University of Information Science and Technology,Nanjing 210044,China) |
| Abstract: |
| Existing single-intelligent reflecting surface(IRS) systems have limitations in improving signal quality and expanding coverage,and how to optimize channel modeling and beamforming for multi-IRS collaboration remains an open problem.To address this issue,a 3-IRS-assisted wireless communication system is proposed and analyzed,where the signal propagates from the base station through IRS1,IRS2,and IRS3 before finally reaching the user.A channel matrix model adapted to multi-IRS cooperative scenarios is designed,along with the derivation of the signal transmission link expression.At the same time,an optimized passive beamforming matrix is designed to maximize system power gain.The simulation experiments results show that under line-of-sight channel conditions,when the number of elements increases from 1 200 to 2 400,the signal-to-noise ratio(SNR) in the single-IRS system increases by approximately 6 dB,with a power gain increase of about 4 times;whereas in the 3-IRS system,the SNR increases by approximately 18 dB,and the power gain increases by about 64 times.The collaboration of multi-IRS significantly enhances the system’ |
| Key words: intelligent reflecting surface channel modeling beamforming design power gain |