Name
Abstract | ||
|---|---|---|
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 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICDCS.2017.83 | 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) |
Keywords | Field | DocType |
Fifth-generation (5G) cellular networks,Fog computing,Ultra-low latency | Wireless network,Computer science,Latency (engineering),Computer network,Utility computing,Resource allocation,Latency (engineering),Access network,Multi-user,Cloud computing,Distributed computing | Conference |
ISSN | ISBN | Citations |
1063-6927 | 978-1-5386-1793-9 | 3 |
PageRank | References | Authors |
0.43 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pang C. Chen | 1 | 85 | 20.60 |
| Wei-Ho Chung | 2 | 517 | 68.70 |
| Te-Chuan Chiu | 3 | 71 | 6.55 |
| Junshan Zhang | 4 | 2905 | 220.99 |