A Bound Based Method for Beamformer Design in Downlink Cloud Radio Access Networks

Date

2021-10-01

Author

Kadan, Fehmi Emre
Yılmaz, Ali Özgür

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Cloud Radio Access Network is a candidate solution in 5G and beyond where we intend to serve as many users as possible with minimum transmit power and minimum fronthaul data transmission. In this study, we aim to maximize a mixed expression of the number of users served, the number of fronthaul links used, and the total transmitted power by beamforming optimization under imperfect channel state information. We find a theoretical upper bound and propose a method based on the bound derivation. We compare its performance with heuristic search and norm approximation methods solving a series of convex sub-problems. The detailed simulations show that the proposed method outperforms other baseline techniques in terms of the number of users served, fronthaul data rate, power consumption, and computational complexity.

URI

https://hdl.handle.net/11511/94551

Journal

IEEE COMMUNICATIONS LETTERS

DOI

https://doi.org/10.1109/lcomm.2021.3100271

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

F. E. Kadan and A. Ö. Yılmaz, “A Bound Based Method for Beamformer Design in Downlink Cloud Radio Access Networks,” IEEE COMMUNICATIONS LETTERS, vol. 25, no. 10, pp. 3350–3354, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/94551.