Latency Driven Fronthaul Bandwidth Allocation and Cooperative Beamforming for Cache-enabled Cloud-based Small Cell Networks
Refereed conference paper presented and published in conference proceedings

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AbstractThis paper considers content delivery of the cache-enabled small cell networks (C-SCNs), where users with the same request form a multicast group and are served by a cluster of small-cell base stations (SBSs) under the coordination of the central processor. The performance of such a coordination is severely limited by the fronthaul link, which may be saturated and degrade quality of service (QoS). To improve user QoS, we propose a latency driven scheme by jointly optimizing fronthaul bandwidth allocation, multicast beamforming, and BS clustering. Accordingly, with min-max fairness among multicast groups, a latency minimization problem is formulated under the constraints of fronthaul bandwidth and transmission power. The resultant problem is a mixed-integer nonlinear program, which is NP-hard. To address such a complex problem, a quadratic penalty-based algorithm is proposed by using a reformulation of binary constraint. Meanwhile, we present the necessary condition for an optimal solution, which shows that fronthaul bandwidth allocation is inherently adaptive to cached contents and patterns of BS cooperation. Finally, simulation results demonstrate that the proposed scheme can effectively reduce latency under different caching strategies.
Acceptance Date29/01/2019
All Author(s) ListXiongwei WU, Xinhua LI, Qiang LI, Victor C.M. LEUNG, P.C. CHING
Name of Conference44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Start Date of Conference12/05/2019
End Date of Conference17/05/2019
Place of ConferenceBrighton
Country/Region of ConferenceGreat Britain
Proceedings TitleProceedings ICASSP 2019
Place of PublicationUSA
Pages4594 - 4598
LanguagesEnglish-United Kingdom
KeywordsFronthaul Bandwidth Allocation, Multicast Beamforming, BS Clustering, C-SCN

Last updated on 2020-04-12 at 00:46