Random Linear Coding Based Anti-Jamming Coding Techniques for Cognitive Radio Systems

Abstract

Cognitive radio is an emerging technology that allows secondary communication in a frequency band originally allocated to one or more primary users (PUs). Secondary user (SU) usually operates in a low power profile to avoid interference with the PU and sudden appearance of a PU causes loss of data of the SU. Appropriate erasure correction coding (also called as anti-jamming coding) is, thus, required to maintain the reliability of the link. In this paper, we propose the random linear coding (RLC), which is commonly used in network coding, to be used as an anti-jamming scheme. We also propose a variant of RLC anti-jamming scheme that requires reduced complexity decoding. The throughput of both the proposed schemes is analyzed and it is shown that high throughput can be obtained at the expense of very small redundancy by carefully selecting the Galois field size.