Novel approach for Interference Management in cognitive radio

Abstract

Cognitive radio based on a software-defined radio, is an emerging wireless communication system today. It is regarded as fifth generation (5G) mobile system. Cognitive radio research can be categorized in three parts, which are Spectrum Management, Intelligence Management and Interference Management. Spectrum management detects white space and manages different spectrum issues between primary and secondary users. Intelligence management on the other hand use different artificial intelligence techniques such as Neural Networks, Rule based system, Genetic Algorithm etc. in order to develop efficient cognitive engine. Finally Interference management focus on implementation issues of cognitive radio by dealing with channel awareness, link quality and resource allocation which mainly depend on the right choice of transmit power. This paper proposes an algorithm based on MAC scheduling techniques and uses two parallel processes to control transmit power. The first process go through different mathematical calculations of SINR, channel capacity etc of all links between different radio nodes within a network. The second process deals with environmental conditions with the help of Fuzzy logic. These both processes works together to adjust the value of transmit power of every node in order to mitigate interference and maintain QoS of the service.