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Learning Enhanced Environment Perception for Cooperative Power Control

Authors:
Panagiotis Spapis
George Katsikas
Makis Stamatelatos
Konstantinos Chatzikokolakis
Roi Arapoglou
Nancy Alonistioti

Keywords: co-existence; interference mitigation; cooperative power control; learning; data mining.

Abstract:
The vast proliferation of wireless networking devices, coupled with the trend for short-range communications in dense residential environments, imposes new challenges for the efficient addressing of problems resulting from co-existence of heterogeneous devices (e.g., interference) under capacity and energy constraints. This paper proposes and evaluates a cooperative distributed algorithm for power control and interference mitigation based on ad-hoc communication of heterogeneous yet peer networking devices, driven by enhanced situation awareness and learning capabilities; the learning capabilities evolve the way a network element perceives its environment. The gains of this approach are highlighted through its application in WiFi APs. The results reveal that the introduction of learning capabilities in cooperative power control leads to interference mitigation while introducing minimum overhead in the network nodes.

Pages: 17 to 22

Copyright: Copyright (c) IARIA, 2011

Publication date: November 20, 2011

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-171-7

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011