Analysis of 802.11 based cognitive networks and cognitive based 802.11 networks

Abstract

Cognitive radio has emerged as a new design paradigm for next generation wireless networks that aims to increase utilization of scarce radio spectrum. Intelligent algorithms are used to learn the surrounding environment, and the knowledge thus obtained is utilized by trans-receiver to achieve the best performance. For IEEE 802.11 wireless LANs with multiple access points, it is critical to allocate limited number of radio channels dynamically and efficiently. In this paper, we are trying to implement the idea of using cognitive techniques to optimize access point configuration for IEEE 802.11 WLAN. Similarly, we can have 802.11 based cognitive networks in which CR (cognitive radio) can employ DCF (Distributed co-ordination function) protocol for contention based channel access. We have tried to interrelate between Cognitive and IEEE 802.11 WLAN networks and improve network's capability by taking useful part of other network. © 2010 Springer-Verlag Berlin Heidelberg.