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Adaptive Beamforming Design for mmWave RIS-Aided Joint Localization and Communication
Open accessAbstract
The concept of reconfigurable intelligent surface (RIS) has been proposed to change the propagation of electromagnetic waves, e.g., reflection, diffraction, and refraction. To accomplish this goal, the phase values of the discrete RIS units need to be optimized. In this paper, we consider RIS-aided millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems for both accurate positioning and high data-rate transmission. We propose an adaptive phase shifter design based on hierarchical codebooks and feedback from the mobile station (MS). The benefit of the scheme lies in that the RIS does not require deployment of any active sensors and baseband processing units. During the update process of phase shifters, the combining vector at the MS is sequentially refined. Simulation results show the performance improvement of the proposed algorithm over the random phase design scheme, in terms of both positioning accuracy and data rate. Moreover, the performance converges to that of the exhaustive search scheme even in the low signal-to-noise ratio regime.
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Cited by
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3004197 · Cited by 1,035
Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
Elzanaty, A., Guerra, A., Guidi, F., & Alouini, M.-S. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3101644 · Cited by 336
Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization
He, J., Wymeersch, H., & Juntti, M. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3070064 · Cited by 319
Self-citationDi Renzo, M., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., de Rosny, J., & Tretyakov, S. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3007211 · Cited by 112
Xu, C., Xiang, L., An, J., Dong, C., Sugiura, S., Maunder, R. G., Yang, L.-L., & Hanzo, L. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3203895 · Cited by 90
Metadata
- Authors
- He, J., Wymeersch, H., Sanguanpuak, T., Silven, O., & Juntti, M.
- Venue
- 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
- Publisher
- IEEE
- Published
- 2020-04
- Pages
- 1-6
- OpenAlex
- W3038076970
- Cited by
- 181
- References
- 0
- FWCI
- 45.00
- Type
- conference paper
- Language
- en
- Open access
- green
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- He, J., Wymeersch, H., Sanguanpuak, T., Silven, O., & Juntti, M. (2020). Adaptive Beamforming Design for mmWave RIS-Aided Joint Localization and Communication. 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). https://doi.org/10.1109/wcncw48565.2020.9124848
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