The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network
Open accessAbstract
Thanks to the strong ability against the inter-cell interference, cell-free network is considered as a promising technique to improve network capacity. However, further capacity improvement requires to deploy more base stations (BSs) with high cost and power consumption. To address this issue, inspired by the recently developed reconfigurable intelligent surface (RIS) technique, we propose the concept of RIS-aided cell-free network to improve the capacity with low cost and power consumption. The key idea is to replace some of the required BSs by low-cost and energy-efficient RISs. Then, in a wideband RIS-aided cell-free network, we formulate the problem of joint precoding design at BSs and RISs to maximize the network capacity. Due to the non-convexity and high complexity of the formulated problem, we develop an alternating optimization framework to solve this challenging problem. In particular, we decouple this problem via fractional programming, and solve the subproblems alternatively. Note that most of the scenarios considered in existing works are special cases of the general scenario studied in this paper, and the proposed joint precoding framework can serve as a general solution to maximize the capacity in most existing RIS-aided scenarios. Finally, simulation results demonstrate that, compared with the conventional cell-free network, the network capacity under the proposed scheme can be improved significantly.
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Cites
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Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
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Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
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Wireless Communications Through Reconfigurable Intelligent Surfaces
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Cell-Free Massive MIMO Versus Small Cells
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Cited by
Active RIS vs. Passive RIS: Which Will Prevail in 6G?
Zhang, Z., Dai, L., Chen, X., Liu, C., Yang, F., Schober, R., & Poor, H. V. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3231893 · Cited by 1,150
Self-citationRIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
Shi, E., Zhang, J., Du, H., Ai, B., Yuen, C., Niyato, D., Letaief, K. B., & Shen, X. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3404491 · Cited by 224
Di 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
Algorithm-Unrolling-Based Distributed Optimization for RIS-Assisted Cell-Free Networks
Xu, W., An, J., Li, H., Gan, L., & Yuen, C. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3288072 · Cited by 49
Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems
Shi, E., Zhang, J., Zhu, Y., Liu, Z., An, J., Yuen, C., & Ai, B. (2024) · 2024 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS) · doi:10.1109/apwcs61586.2024.10679324 · Cited by 4
Metadata
- Authors
- Zhang, Z., & Dai, L.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2021
- Volume
- 69
- Pages
- 4085-4101
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W3005072086
- Cited by
- 369
- References
- 46
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- green
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