Abstract
Featuring centralized baseband processing, cooperative radio, and real-time cloud infrastructure, C-RAN has great potential to be a predominant wireless cellular architecture in next-generation wireless systems. Aware of the prohibitively high cost caused by the high RRH density, this book focuses on designing scalable signal processing algorithms for C-RANs by exploiting the near-sparsity of channel matrices, where “scalable” means that both the overhead and computational complexity does not grow significantly with the network size.
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References
W. Yu and T. Lan, “Transmitter optimization for the multi-antenna downlink with per-antenna power constraints,” IEEE Transactions on Signal Processing, vol. 55, no. 6, pp. 2646–2660, 2007.
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Zhang, YJ.A., Fan, C., Yuan, X. (2019). Conclusions and Future Work. In: Scalable Signal Processing in Cloud Radio Access Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-15884-2_6
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DOI: https://doi.org/10.1007/978-3-030-15884-2_6
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Publisher Name: Springer, Cham
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