Latency-Driven Fog Cooperation Approach in Fog Radio Access Networks

Te Chuan Chiu, Ai Chun Pang, Wei Ho Chung, Junshan Zhang

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Fog computing, evolves from the cloud and migrates the computing to the edge, is a promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Via the forward-looking perspective, we advocate a FogRadioAccess Network(F-RAN) model, which leverages the existing infrastructure such as small cells with limited computing power, to achieve the ultra-low latency by joint edge computing and near-range communications across multiple Fog groups. We formulate the low latency design as an NP-hard optimization problem, which demonstrates the tradeoff between communication and computing in the time domain. Due to each F-RAN node's potential as each user's master F-RAN node with 1) different self computing power; and 2) different cooperative power of assisted F-RAN nodes, we first tackle globally optimized master F-RAN node selection for each user and propose a latency-driven cooperative Fog algorithm with dynamic programming solution for simultaneous selection of the F-RAN nodes to serve proper heterogeneous Fog resource allocation for multi-Fog groups. Considering the limited heterogeneous Fog resources shared among all users, we propose the one-for-all strategy for every user putting him/herself into others' shoes and reaching a win-win outcome. The numerical results show that the low latency services can be accomplished by F-RAN via latency-driven Fog cooperation approach.

Original languageEnglish (US)
Article number8416783
Pages (from-to)698-711
Number of pages14
JournalIEEE Transactions on Services Computing
Issue number5
StatePublished - Sep 1 2019


  • Fifth-generation (5G) cellular networks
  • cooperative task computing
  • fog computing
  • fog cooperation
  • heterogeneous resource allocation
  • latency-driven
  • ultra-low latency

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems and Management


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