Multi-Resource Allocation in Cloud Radio Access Networks

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

18 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications (ICC)
PublisherIEEE
ISBN (Electronic)978-1-4673-8999-0
ISBN (Print)978-1-4673-9000-2
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameIEEE International Conference on Communications (ICC)
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

Title2004 IEEE International Conference on Communications
LocationPalais des Congrès - Porte Maillot
PlaceFrance
CityParis
Period20 - 24 June 2004

Abstract

Computational resource allocation is a critical issue for the baseband unit (BBU) pool in a cloud radio access network (C-RAN). There are multiple resources in a BBU, including CPU, memory, disk, etc. The virtual machines (VMs) have diverse requirements along these resources to handle the baseband signal processing of corresponding remote radio units (RRUs). Consolidating VMs to BBUs based on single resource incurs over-allocation of the resources that are not explicitly allocated. Therefore, we study the multi-resource allocation problem in CRANs, which aims to minimize the number of active BBUs that are required to serve all users in the network. Since the RRU can be set to an idle state when its traffic is low, the number of VMs and their resource demands are all adjustable. We propose an efficient algorithm to solve this problem. This algorithm selects active RRUs and associates users with these RRUs in an iterative way. It adapts a heuristic for the multi-dimensional bin packing problem to assign VMs to BBUs. Our proposed method can significantly reduce the number of required active BBUs, while satisfying the VMs' demands for multiple computational resources. Simulation results demonstrate the effectiveness of our proposed algorithm.

Research Area(s)

  • cellular networks, Cloud radio access networks, multi-dimensional bin packing, resource allocation

Citation Format(s)

Multi-Resource Allocation in Cloud Radio Access Networks. / Yu, Nuo; Song, Zhaohui; Du, Hongwei; Huang, Hejiao; Jia, Xiaohua.

2017 IEEE International Conference on Communications (ICC). IEEE, 2017. 7997025 (IEEE International Conference on Communications (ICC)).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review