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Latency-Driven Cooperative Task Computing in Multi-User Fog-Radio Access Networks
Ai-Chun Pang, Wei-Ho Chung, Te-Chuan Chiu and Junshan Zhang
National Taiwan University, Academia Sinica, National Taiwan University, Arizona State University

Fog 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 N P-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 others situation into consideration and seek for a winwin solution. The numerical results show that the low-latency services can be achieved by F-RAN via latency-driven cooperative task computing.