Xiao, Han and Hu, Xiaoyan and Wang, Wenjie and Wong, Kai-Kit and Yang, Kun (2024) Frequency Diverse RIS (FD-RIS) Enhanced Wireless Communications via Joint Distance-Angle Beamforming. IEEE Wireless Communications Letters, 13 (12). pp. 3459-3463. DOI https://doi.org/10.1109/lwc.2024.3471664
Xiao, Han and Hu, Xiaoyan and Wang, Wenjie and Wong, Kai-Kit and Yang, Kun (2024) Frequency Diverse RIS (FD-RIS) Enhanced Wireless Communications via Joint Distance-Angle Beamforming. IEEE Wireless Communications Letters, 13 (12). pp. 3459-3463. DOI https://doi.org/10.1109/lwc.2024.3471664
Xiao, Han and Hu, Xiaoyan and Wang, Wenjie and Wong, Kai-Kit and Yang, Kun (2024) Frequency Diverse RIS (FD-RIS) Enhanced Wireless Communications via Joint Distance-Angle Beamforming. IEEE Wireless Communications Letters, 13 (12). pp. 3459-3463. DOI https://doi.org/10.1109/lwc.2024.3471664
Abstract
The conventional reconfigurable intelligent surface (RIS) assisted far-field communication systems can only implement angle beamforming, which actually limits the capability for reconfiguring the wireless propagation environment. To overcome this limitation, this letter proposes a newly designed frequency diverse RIS (FD-RIS), which can achieve joint distance-angle beamforming with the assistance of the time modulation technology. The signal processing model for FD-RIS-aided wireless communications is first derived. Then, an optimization problem aimed at maximizing the achievable rate is formulated where the frequency-time modulations are jointly optimized to achieve distance-angle beamforming. Furthermore, a novel iterative algorithm based on the cross-entropy optimization (CEO) framework is proposed to effectively handle the non-convex optimization problem. The numerical results validate that the proposed FD-RIS assisted communication scheme can achieve a notable performance improvement compared with the baseline scheme utilizing traditional RIS. In addition, the effectiveness of the proposed CEO algorithm is further verified by comparing with the benchmark using the genetic algorithm (GA).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Array signal processing; cross-entropy optimization (CEO); distance-angle beamforming; Fourier series; Frequency diverse RIS (FD-RIS); Frequency diversity; Frequency modulation; Massive MIMO; Modulation; Optimization; Phased arrays; Signal processing algorithms; time modulation; Time-frequency analysis |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 06 May 2026 11:55 |
| Last Modified: | 06 May 2026 11:56 |
| URI: | http://repository.essex.ac.uk/id/eprint/39535 |
Available files
Filename: Frequency_Diverse_RIS_FD-RIS_Enhanced_Wireless_Communications_via_Joint_Distance-Angle_Beamforming.pdf