Optimizing utility of cognitive radio ad hoc networks under the energy and retransmission constraint

In Cognitive radio ad hoc networks (CRAHNs), the secondary users (SUs) or cognitive radio nodes (CRs) are always equipped with limited energy and have a high error probability of data transmission. To address this issue, we first describe the network utility under energy constraint as a max-min model, where the re-transmission strategy with network coding is employed. Additionally, the expression of retransmission probability is presented in terms of power and bit error rate (BER). Moreover, since the max-min model is non-convex in both objective and constraints, we use a normal-form game to find a near-optimal solution. The simulation results show that the proposed approach could achieve a higher network utility than the compared approaches.