Cluster content caching: An energy-efficient approach to improve quality of service in cloud radio access networks

Zhongyuan Zhao, Mugen Peng, Zhiguo Ding, Wenbo Wang, H. Vincent Poor

Research output: Contribution to journalArticle

113 Scopus citations

Abstract

In cloud radio access networks (C-RANs), a substantial amount of data must be exchanged in both backhaul and fronthaul links, which causes high power consumption and poor quality of service (QoS) experience for real-time services. To solve this problem, a cluster content caching structure is proposed in this paper, which takes full advantages of distributed caching and centralized signal processing. In particular, redundant traffic on the backhaul can be reduced because the cluster content cache provides a part of required content objects for remote radio heads (RRHs) connected to a common edge cloud. Tractable expressions for both effective capacity and energy efficiency performance are derived, which show that the proposed structure can improve QoS guarantees with a lower cost of local storage. Furthermore, to fully explore the potential of the proposed cluster content caching structure, the joint design of resource allocation and RRH association is optimized, and two distributed algorithms are accordingly proposed. Simulation results verify the accuracy of the analytical results and show the performance gains achieved by cluster content caching in C-RANs.

Original languageEnglish (US)
Article number7438747
Pages (from-to)1207-1221
Number of pages15
JournalIEEE Journal on Selected Areas in Communications
Volume34
Issue number5
DOIs
StatePublished - May 2016

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Content caching
  • cloud-radio access networks
  • energy efficiency

Fingerprint Dive into the research topics of 'Cluster content caching: An energy-efficient approach to improve quality of service in cloud radio access networks'. Together they form a unique fingerprint.

  • Cite this