Cost-aware resource allocation for optimization of energy efficiency in fog radio access networks

Zhipeng Yan, Mugen Peng, Mahmoud Daneshmand

Research output: Contribution to journalArticlepeer-review


Taking full advantage of centralized cooperation and edge caching, fog radio access network has been considered as a promising paradigm to provide high spectral efficiency and energy efficiency. However, the overheads on fronthaul transmission and content caching also significantly affect the affordability, which makes it an increasingly urgent problem to achieve the performance improvement with reasonable overheads. In this paper, the economical energy efficiency (E3) metric is adopted to comprehensively consider the impacts on different aspects. Under the constraints of maximum transmitting power, cache status, and fronthaul capacity, a resource allocation problem is formulated, in which throughput, energy consumption, as well as cost on fronthaul transmission and content caching are jointly considered. The problem is solved using fractional programming, weighted minimum mean square error approach, and greedy algorithm, and an adaptive transmitting method selection algorithm is proposed. The simulation results demonstrate the effectiveness and gains of the proposed algorithm, and the corresponding key factors impacting on E3 are accordingly analyzed and evaluated.

Original languageEnglish
Article number8482466
Pages (from-to)2581-2590
Number of pages10
JournalIEEE Journal on Selected Areas in Communications
Issue number11
StatePublished - Nov 2018

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


  • Economical energy efficiency
  • fog radio access networks
  • fronthaul constraint
  • resource allocation


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