An Achievable Rate Region for Cognitive Radio Channel With Common Message

TL;DR

This paper introduces a unified achievable rate region for the cognitive radio channel with a common message, combining techniques from superposition coding, binning, and simultaneous decoding, and subsuming several existing results.

Contribution

It proposes a new unified rate region for the CRCC that generalizes and includes multiple existing channel models and results.

Findings

Unified achievable rate region for CRCC proposed

Generalizes several existing channel results

Uses a combination of coding and decoding techniques

Abstract

The cognitive radio channel with common message (CRCC) is considered. In this channel, similar to the cognitive radio channel (CRC), we have a cognitive user which has full non-causal knowledge of the primary message, and like the interference channel with common message (ICC), the information sources at the two transmitters are statistically dependent and the senders need to transmit not only the private message but also certain common message to their corresponding receivers. By using a specific combination of superposition coding, binning scheme and simultaneous decoding, we propose a unified achievable rate region for the CRCC which subsumes the several existing results for the CRC, ICC, interference channel without common message (IC), strong interference channel and compound multiple access channel with common information (SICC and CMACC).