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

7 Scopus citations


Fog computing emerges as one promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Via the forward-looking perspective, we advocate a Fog Radio Access 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)
JournalIEEE Transactions on Services Computing
StateAccepted/In press - Jul 19 2018


  • Computational modeling
  • Cooperative task computing
  • Delays
  • Edge computing
  • Fifth-generation (5G) cellular networks
  • Fog computing
  • Fog Cooperation
  • Heterogeneous resource allocation
  • Heuristic algorithms
  • Latency-driven
  • Radio access networks
  • Resource management
  • Task analysis
  • 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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