Achieving Low Probability of Interference in Spread Spectrum Cognitive Radio Networks

Abstract

Power control algorithms for cognitive radio networks allow users to minimize interference with primary users. The interference values are calculated in reference to some known primary user, whose location is approximated as a bivariate distribution. To close links between nodes using minimal energy, the user must also be able to approximate the bit error rate (BER) of a transmission. This paper focuses on mobile cognitive radio networks utilizing sectored antennas. Nodes use BER estimation to minimize the transmitted energy required for each hop while choosing multi-hop routes that minimize the interference to primary users. Highly mobile networks necessitate the ability to approximate the BER and interference values quickly, necessitating the approximations in the paper.