Home // International Journal On Advances in Intelligent Systems, volume 5, numbers 3 and 4, 2012 // View article

Enhancing Environment Perception for Cooperative Power Control: an Experimental Perspective

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

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

Abstract:
Short range communications in dense residential environments enable anytime high data rate connectivity, however also pose new challenges regarding the efficient operation of network devices, related to their co-existence. These challenges mainly concern capacity requirements on the one hand and the interference effect that each device creates to its neighboring ones on the other. This paper presents a cooperative distributed algorithm for power control and interference mitigation based on ad-hoc communication of networking devices. The algorithm also incorporates learning capabilities for strengthening the situation perception of each network element. Both versions of the algorithm, the core cooperative power control, and the learning enhanced one, have been deployed in WiFi Access Points and tested in an office environment in order to showcase their applicability. The experimental results prove that the incorporation of the presented algorithms leads to significant gains both in the energy consumption and the interference mitigation at the same time.

Pages: 328 to 340

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: December 31, 2012

Published in: journal

ISSN: 1942-2679