Pang A.-C.Chung W.-H.Chiu T.-C.AI-CHUN PANG2019-07-112019-07-1120179781538617915https://scholars.lib.ntu.edu.tw/handle/123456789/413204Fog computing is emerging as one promising solution to meet the increasing demand for ultra-low latency services in wireless networks. Taking a forward-looking perspective, we propose a Fog-Radio Access Network (F-RAN) model, which utilizes the existing infrastructure, e.g., small cells and macro base stations, to achieve the ultra-low latency by joint computing across multiple F-RAN nodes and near-range communications at the edge. We treat the low latency design as an optimization problem, which characterizes the tradeoff between communication and computing across multiple F-RAN nodes. Since this problem is NP-hard, we propose a latency-driven cooperative task computing algorithm with one-for-all concept for simultaneous selection of the F-RAN nodes to serve with proper heterogeneous resource allocation for multi-user services. Considering the limited heterogeneous resources shared among all users, we advocate the one-for-all strategy for every user taking other's situation into consideration and seek for a 'win-win' solution. The numerical results show that the low latency services can be achieved by F-RAN via latency-driven cooperative task computing. ? 2017 IEEE.Fifth-generation (5G) cellular networksFog computingUltra-low latency[SDGs]SDG3[SDGs]SDG9[SDGs]SDG11conference paper10.1109/ICDCS.2017.832-s2.0-85027262618https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027262618&doi=10.1109%2fICDCS.2017.83&partnerID=40&md5=abbd84e5956a6e8752b6d2e4491584b9