Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154493
Title: Nonsmooth optimization algorithms for multicast beamforming in content-centric fog radio access networks
Authors: Nguyen, Huy Tiep
Tuan, H. D.
Duong, T. Q.
Poor, H. V.
Hwang, W. J.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Nguyen, H. T., Tuan, H. D., Duong, T. Q., Poor, H. V. & Hwang, W. J. (2020). Nonsmooth optimization algorithms for multicast beamforming in content-centric fog radio access networks. IEEE Transactions On Signal Processing, 68, 1455-1469. https://dx.doi.org/10.1109/TSP.2020.2964250
Journal: IEEE Transactions on Signal Processing
Abstract: This paper considers a content-centric fog radio access network (F-RAN). Its multi-antenna remote radio heads (RRHs) are capable of caching and executing signal processing for content delivery to its users. The fronthaul traffic is thus saved since its baseband processing unit (BBU) needs to transfer only the cache-missed content items to the RRHs via limited-capacity fronthaul links. The problem of beamforming design maximizing the energy efficiency in content delivery subject to the quality-of-content-service constraints in terms of content throughput and fronthaul limited-capacity is addressed. Unlike the user's throughput in user-centric networks, the content throughput in content-centric networks is no longer a differentiable function of the beamforming vectors. The problem is inherently high-dimensional due to the involvement of many beamforming vectors even in simple cases of three RRHs serving three users. Path-following algorithms, which invoke a simple convex quadratic optimization problem to generate a better feasible point, are proposed for computation of this nonsmooth and high-dimensional optimization problem. We also employ generalized zero-forcing beamforming, which forces the multi-content interference to zero or nearly to zero to reduce the problem dimensionality for computational efficiency. Numerical results are provided to demonstrate their computational effectiveness. They also reveal that when the fronthaul traffic becomes more flexible, hard-transfer fronthauling is more energy efficient than soft-transfer fronthauling.
URI: https://hdl.handle.net/10356/154493
ISSN: 1053-587X
DOI: 10.1109/TSP.2020.2964250
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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