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This paper deals in developing distributed algorithms for Cognitive Relaying with Time Incentive for Multiple primary users (CRTI-M). CRTI-M is a symbiotic paradigm in which the incumbent Primary Users (PUs) of the spectrum, with weak transmission links, seek cooperation from the cognitive Secondary User (SU) nodes in their vicinity, and in return reward them with an incentive time for the latter's own communication. When relaying through the SU network, each PU can either use its own spectrum or that of the other PUs. Cross-layer optimization problems are formulated to enable both these possibilities in a multi-hop multi-channel cognitive radio network with the objective of maximizing the cumulative time incentive for the SUs.
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