A fuzzy-logic based framework for dynamic channel allocation with improved transmission in cognitive radio

Abstract

the paper presents a cognitive radio networks which proposes a novel method of channel assessment analysis with dynamic channel allocation with the help of priority scheduling and improvement in data transmission. The paper first deals with the selection of a novel approach to sense the available spectrum in the area and then simulate a co-operative spectrum sensing system. The co-operative spectrum sensing system is a fuzzy-logic based decision making centre that assigns priority to the channels sensed by secondary users in the network. The decision is made by considering various parameters of the secondary users present in the network such as- distance, mobility and spectrum utilization efficiency. The next part of the proposed system is a fuzzy based model to design an adaptive modulation coding system for the cognitive radio user. This model adaptively suggests the change required for the data transmission rate by taking inputs as- SNR of the channel, BER and the present modulation scheme. The paper works on the improvement of the transmission by changing the modulation scheme for the secondary transmission whenever required to maintain an average bit-error rate (BER).