Heterogeneous cognitive networks: spectrum sharing with adaptive opportunistic DSMA for collaborative PCP-OFDM system

To allow secondary and primary concurrent transmissions achieving optimal spectrum utilization in heterogeneous cognitive networks (HCN), this paper proposes a cross-layer optimization framework with a distributed cooperative spectrum sharing methodology using adaptive opportunistic DSMA (DAO-DSMA) scheme when multiple SUs use part of the bandwidth in PCP-OFDM system to collaboratively augment spectrum reuse gain to automatically select the PU’s radio bands and the SU’s operating modes. The cases where nodes cooperate in a distributed way to maximize the TCP throughput or to achieve either proportional fair or max–min fair medium access are considered. A gripping slant of DAO-DSMA regime is the benefit to derive the probability transition matrix for the Markov chain of secondary users performing Adaptive Markov Prediction in Dynamic Spectrum Access. Simulation results illustrate that the proposed scheme investigates characteristic changes of different parameters on transmission capacities of the coexisting network and makes great improvement on the ergodic capacity of secondary user to obtain better performance of spectrum coexistence by maintaining overall maximum TCP throughput.