Joint Downlink and Uplink Optimization for RIS-Aided FDD MIMO Communication Systems
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866911762037604352 |
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| author | Lee, Gyoseung Lee, Hyeongtaek Kim, Donghwan Chung, Jaehoon Swindlehurst, A. Lee. Choi, Junil |
| author_facet | Lee, Gyoseung Lee, Hyeongtaek Kim, Donghwan Chung, Jaehoon Swindlehurst, A. Lee. Choi, Junil |
| contents | This paper investigates reconfigurable intelligent surface (RIS)-aided frequency division duplexing (FDD) communication systems. Since the downlink and uplink signals are simultaneously transmitted in FDD, the phase shifts at the RIS should be designed to support both transmissions. Considering a single-user multiple-input multiple-output system, we formulate a weighted sum-rate maximization problem to jointly maximize the downlink and uplink system performance. To tackle the non-convex optimization problem, we adopt an alternating optimization (AO) algorithm, in which two phase shift optimization techniques are developed to handle the unit-modulus constraints induced by the reflection coefficients at the RIS. The first technique exploits the manifold optimization-based algorithm, while the second uses a lower-complexity AO approach. Numerical results verify that the proposed techniques rapidly converge to local optima and significantly improve the overall system performance compared to existing benchmark schemes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_11429 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Joint Downlink and Uplink Optimization for RIS-Aided FDD MIMO Communication Systems Lee, Gyoseung Lee, Hyeongtaek Kim, Donghwan Chung, Jaehoon Swindlehurst, A. Lee. Choi, Junil Information Theory Signal Processing This paper investigates reconfigurable intelligent surface (RIS)-aided frequency division duplexing (FDD) communication systems. Since the downlink and uplink signals are simultaneously transmitted in FDD, the phase shifts at the RIS should be designed to support both transmissions. Considering a single-user multiple-input multiple-output system, we formulate a weighted sum-rate maximization problem to jointly maximize the downlink and uplink system performance. To tackle the non-convex optimization problem, we adopt an alternating optimization (AO) algorithm, in which two phase shift optimization techniques are developed to handle the unit-modulus constraints induced by the reflection coefficients at the RIS. The first technique exploits the manifold optimization-based algorithm, while the second uses a lower-complexity AO approach. Numerical results verify that the proposed techniques rapidly converge to local optima and significantly improve the overall system performance compared to existing benchmark schemes. |
| title | Joint Downlink and Uplink Optimization for RIS-Aided FDD MIMO Communication Systems |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2401.11429 |