Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks

Nguyen, Huy; Tuan, Hoang Duong; Poor, H. Vincent; Hwang, Won-Joo

doi:10.1109/tsp.2020.2964250

Cited by 13 publications

(16 citation statements)

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“…It is plausible that a finer quantization results in a reduced error covariance ∆(x i ), hence leading to a higher throughput, but the soft-transfer of the quantized signals is limited by the capacity of STF according to (6). As analysed in detail in [21], SFT is much more efficient than hard-transfer fronthauling (HFT) in the face of limited fronthauling capacity. Furthermore, the signal transmitted by RRH i is…”

Section: B Content Transmission and Receptionmentioning

confidence: 99%

“…In [18], no complexity analysis was provided, while the numerical examples in [19] are limited to the simplest and lowest-dimensional case of three single-antenna RRHs (n t = 1) serving three users. The path-following algorithms proposed in [21] handled more practical scenarios of five fourantenna RRHs serving five users, which became possible as a benefit of the structural exploitation of approximate zeroforcing beamforming. In contrast to the iterations used in [18], [19], the path-following algorithms of [21] invoke a convex fractional solver of polynomial complexity at each iteration.…”

Section: Introductionmentioning

confidence: 99%

“…The path-following algorithms proposed in [21] handled more practical scenarios of five fourantenna RRHs serving five users, which became possible as a benefit of the structural exploitation of approximate zeroforcing beamforming. In contrast to the iterations used in [18], [19], the path-following algorithms of [21] invoke a convex fractional solver of polynomial complexity at each iteration. However, it still remained an open challenge to reduce the dimension of the approximate zero forcing beamformers, while maintaining the throughput.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

Zhu¹,

Tuan²,

Dutkiewicz³

et al. 2021

IEEE Trans. Commun.

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A multi-user fog radio access network (F-RAN) is designed for supporting content-centric services. The requested contents are partitioned into sub-contents, which are then 'beamformed' by the remote radio heads (RRHs) for transmission to the users. Since a large number of beamformers must be designed, this poses a computational challenge. We tackle this challenge by proposing a new class of regularized zero forcing beamforming (RZFB) for directly mitigating the inter-content interferences, while the 'intra-content interference' is mitigated by successive interference cancellation at the user end. Thus each beamformer is decided by a single real variable (for proper Gaussian signaling) or by a pair of complex variables (for improper Gaussian signaling). Hence the total number of decision variables is substantially reduced to facilitate tractable computation. To address the problem of energy efficiency optimization subject to multiple constraints, such as individual user-rate requirement and the fronthauling constraint of the links between the RRHs and the centralized baseband signal processing unit, as well as the total transmit power budget, we develop low-complexity pathfollowing algorithms. Finally, we confirm their performance by simulations.Index Terms-Fog radio access network (F-RAN), soft-transfer fronthauling, regularized zero-forcing beamforming, content service, Gaussian signaling.

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Section: B Content Transmission and Receptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

Zhu¹,

Tuan²,

Dutkiewicz³

et al. 2021

IEEE Trans. Commun.

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“…Huang, J., and Dragotti, P.L., Learning Deep Analysis Dictionaries for Image Super-Resolution; TSP 2020 6633-6648 Huang, J., see Wang, X., TSP 202081-96 Huang, K., see Du, Y., TSP 20202128-2142Huang, K., see Fu, X., TSP 20202170-2185 Huang, K., see Yang, B., TSP 20202857-2869 Huang, L., see Wang, Y., TSP 2020 5457-5472 Huang, S., Gupta, S., and Dokmanic, I., Solving Complex Quadratic Systems With Full-Rank Random Matrices; TSP 2020 4782-4796 Huang, T., see Liu, X., TSP 2020 3929-3944 Huang, T., Shlezinger, N., Xu, X., Ma, D., Liu, Y., and Eldar, Y.C., Multi-Car-rier Agile Phased Array Radar; TSP 2020 5706-5721 Huang, T., Shlezinger, N., Xu, X., Liu, Y., and Eldar, Y.C., MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation; TSP 2020 3423-3438 Huang, Y., see Li, J., TSP 2020 5602-5616 Huang, Y., Vorobyov, S.A., and Luo, Z., Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-Rank Signal Model; TSP 2020 2244-2255 Huang, Y., see 1515-1528Huemer, M., see Hofbauer, C., TSP 2020 Huo, K., see Zhang, X., TSP 2020 5138-5151 Hutchinson, M.N., see Rubaiyat, A.H.M., TSP 2020 3312-3324 Hwang, W., see Nguyen, H.T., TSP 20201455-1469 Hwang, W., and Heinecke, A., Un-Rectifying Non-Linear Networks for Signal…”

Section: + Check Author Entry For Coauthorsmentioning

confidence: 99%

“…Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks. Nguyen, H.T., +, TSP 20201455-1469…”

Section: Internetmentioning

confidence: 99%

2020 Index IEEE Transactions on Signal Processing Vol. 68

2020

IEEE Trans. Signal Process.

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This index covers all technical items-papers, correspondence, reviews, etc.-that appeared in this periodical during 2020, and items from previous years that were commented upon or corrected in 2020. Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. Note that the item title is found only under the primary entry in the Author Index.

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6G Smart fog radio access network: architecture, key technologies, and research challenges

Zhang,

Liu

et al. 2024

Digital Communications and Networks

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Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks

Cited by 13 publications

References 40 publications

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

2020 Index IEEE Transactions on Signal Processing Vol. 68

6G Smart fog radio access network: architecture, key technologies, and research challenges

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