Mining Historical Data towards Interference Management in Wireless SDNs

Pages: 81 - 88
Published: Nov 21, 2017
Abstract
WiFi networks often seek to reduce interference through network planning, macroscopic self-organization (e.g. channel switching) or network management. In this paper, we explore the use of historical data to automatically predict traffic bottlenecks and make rapid decisions in a wireless (WiFi-like) network on a smaller scale. This is now possible with software defined networks (SDN), whose controllers can have a global view of traffic flows in...
Paper Details
Title
Mining Historical Data towards Interference Management in Wireless SDNs
Published Date
Nov 21, 2017
Journal
Pages
81 - 88
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