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Optimized Base-Station Cache Allocation for Cloud Radio Access Network With Multicast Backhaul
Dai, Binbin1; Liu, Ya-Feng2; Yu, Wei1
2018-08-01
Source PublicationIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
ISSN0733-8716
Volume36Issue:8Pages:1737-1750
AbstractThe performance of cloud radio access network (C-RAN) is limited by the finite capacities of the backhaul links connecting the centralized processor (CP) with the basestations (BSs), especially when the backhaul is implemented in a wireless medium. This paper proposes the use of wireless multicast together with BS caching, where the BSs pre-store the contents of popular files, to augment the backhaul of C-RAN. For a downlink C-RAN consisting of a single cluster of BSs and wireless backhaul, this paper studies the optimal cache size allocation strategy among the BSs and the optimal multicast beamforming transmission strategy at the CP such that the user's requested messages are delivered from the CP to the BSs in the most efficient way. We first state a multicast backhaul rate expression based on a joint cache-channel coding scheme, which implies that larger cache sizes should be allocated to the BSs with weaker channels. We then formulate a two-timescale joint cache size allocation and beamforming design problem, where the cache is optimized offline based on the long-term channel statistical information, while the beamformer is designed during the file delivery phase based on the instantaneous channel state information. By leveraging the sample approximation method and the alternating direction method of multipliers, we develop efficient algorithms for optimizing the cache size allocation among the BSs, and quantify how much more caches should be allocated to the weaker BSs. We further consider the case with multiple files having different popularities and show that it is in general not optimal to entirely cache the most popular files first. Numerical results show considerable performance improvement of the optimized cache size allocation scheme over the uniform allocation and other heuristic schemes.
KeywordAlternating direction method of multipliers (ADMM) base-station (BS) caching cloud radio access network (C-RAN) data-sharing strategy multicasting wireless backhaul
DOI10.1109/JSAC.2018.2844638
Language英语
Funding ProjectNatural Sciences and Engineering Research Council of Canada ; National Natural Science Foundation of China[11671419] ; National Natural Science Foundation of China[11688101]
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000449113400007
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/31677
Collection计算数学与科学工程计算研究所
Affiliation1.Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Dai, Binbin,Liu, Ya-Feng,Yu, Wei. Optimized Base-Station Cache Allocation for Cloud Radio Access Network With Multicast Backhaul[J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,2018,36(8):1737-1750.
APA Dai, Binbin,Liu, Ya-Feng,&Yu, Wei.(2018).Optimized Base-Station Cache Allocation for Cloud Radio Access Network With Multicast Backhaul.IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,36(8),1737-1750.
MLA Dai, Binbin,et al."Optimized Base-Station Cache Allocation for Cloud Radio Access Network With Multicast Backhaul".IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 36.8(2018):1737-1750.
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