Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN
By Meixia Tao, Erkai Chen, Hao Zhou, Wei Yu. IEEE Transactions on Wireless Communications, 2015
459 citations recorded by the source corpus.
This paper presents a content-centric transmission design in a cloud radio access network by incorporating multicasting and caching. Users requesting the same content form a multicast group and are served by a same cluster of base stations (BSs) cooperatively. Each BS has a local cache, and it acquires the requested contents either from its local cache or from the central processor via backhaul links. We investigate the dynamic content-centric BS clustering and multicast beamforming with respect to both channel condition and caching status. We first formulate a mixed-integer nonlinear programming problem of minimizing the weighted sum of backhaul cost and transmit power under the quality-of-service constraint for each multicast group. Theoretical analysis reveals that all the BSs caching a requested content can be included in the BS cluster of this content, regardless of the channel conditions. Then, we reformulate an equivalent sparse multicast beamforming (SBF) problem. By adopting smoothed ℓ0-norm approximation and other techniques, the SBF problem is transformed into the difference of convex programs and effectively solved using the convex-concave procedure algorithms. Simulation results demonstrate significant advantage of the proposed content-centric transmission. The effects of heuristic caching strategies are also evaluated.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/cb1c30235f8b738d744b7e03cc51797aa9f1f272
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Citations in the corpus
- Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “This kind of trade-off between total power consumption and total backhaul capacity is discussed with both uncoded [111] and coded [112] caching process in F-RAN.”
- Wireless caching: technical misconceptions and business barriers (2016, background): “The time to search and retrieve the content from a nearby cache may also be significant, hence intelligent hash-based filtering and routing schemes are required [42].”
- Big data caching for networking: moving from cloud to edge (2016, background): “[8] M.”
- Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design (2018, background): “Based on given and fixed content caching policy in BSs, Tao et al. [14] and Liu and Lau [15] proposed multicast beamforming schemes for instantaneous wireless transmissions of content delivery 0733-8716 © 2018 IEEE.”