Beyond Diagonal RIS for Multi-Band Multi-Cell MIMO Networks: A Practical Frequency-Dependent Model and Performance Analysis
This paper delves into the unexplored frequency-dependent characteristics of beyond diagonal reconfigurable intelligent surfaces (BD-RISs). A generalized practical frequency-dependent reflection model is proposed as a fundamental framework for configuring fully-connected and group-connected RISs in a multi-band multi-base station (BS) multiple-input multiple-output (MIMO) network. Leveraging this practical model, multi-objective optimization strategies are formulated to maximize the received power at multiple users connected to different BSs, each operating under a distinct carrier frequency. By relying on matrix theory and exploiting the symmetric structure of the reflection matrices inherent to BD-RISs, relaxed tractable versions of the challenging problems are achieved for scenarios with obstructed and unobstructed direct channel links. The relaxed solutions are then combined with codebook-based approaches to configure the practical capacitance values for the BD-RISs. Simulation results reveal the frequency-dependent behaviors of different RIS architectures and demonstrate the effectiveness of the proposed schemes. Notably, BD-RISs exhibit high reflection performance across the intended frequency range, remarkably outperforming conventional single-connected RISs. Moreover, the proposed optimization approaches prove effective in enabling the targeted operation of BD-RISs across one or more carrier frequencies. The results also shed light on the potential for harmful interference in the absence of synchronization between RISs and adjacent BSs.
Authors
- Nurul Huda Mahmood (ORCID: https://orcid.org/0000-0002-1478-2272)
- Mehdi Rasti (ORCID: https://orcid.org/0000-0002-2081-0102)
- Arthur S. de Sena (ORCID: https://orcid.org/0000-0002-3719-2697)
- Matti Latva‐aho (ORCID: https://orcid.org/0000-0002-6261-0969)
Institutions
- University of Oulu (FI)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/twc.2024.3499875
- Citations
- 17
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 3.55
Funders
- Academy of Finland