Channel Shaping Using Beyond Diagonal Reconfigurable Intelligent Surface: Analysis, Optimization, and Enhanced Flexibility
<|reference_start|>Channel Shaping Using Beyond Diagonal Reconfigurable Intelligent Surface: Analysis, Optimization, and Enhanced Flexibility: This paper investigates the capability of a passive Reconfigurable Intelligent Surface (RIS) to redistribute the singular values of point-to-point Multiple-Input Multiple-Output (MIMO) channels for achieving power and rate gains. We depart from the conventional Diagonal (D)-RIS with diagonal phase shift matrix and adopt a Beyond Diagonal (BD) architecture that offers greater wave manipulation flexibility through element-wise connections. Specifically, we first provide shaping insights by characterizing the channel singular value regions attainable by D-RIS and BD-RIS via a novel geodesic optimization. Analytical singular value bounds are then derived to explore their shaping limits in typical deployment scenarios. As a side product, we tackle BD-RIS-aided MIMO rate maximization problem by a local-optimal Alternating Optimization (AO) and a shaping-inspired low-complexity approach. Results show that compared to D-RIS, BD-RIS significantly improves the dynamic range of all channel singular values, the trade-off in manipulating them, and thus the channel power and achievable rate. Those observations become more pronounced when the number of RIS elements and MIMO dimensions increase. Of particular interest, BD-RIS is shown to activate multi-stream transmission at lower transmit power than D-RIS, hence achieving the asymptotic Degrees of Freedom (DoF) at low Signal-to-Noise Ratio (SNR) thanks to its higher flexibility of shaping the distribution of channel singular values.<|reference_end|>
@article{zhao2024channel,
    title={Channel Shaping Using Beyond Diagonal Reconfigurable Intelligent
  Surface: Analysis, Optimization, and Enhanced Flexibility},
    author={Yang Zhao, Hongyu Li, Massimo Franceschetti, Bruno Clerckx},
    journal={arXiv preprint arXiv:2407.15196},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15196},
    primaryClass={eess.SP cs.IT math.IT}
}