Interference Aware Reliable Cooperative Cognitive Networks for Real-Time Applications

摘要

With growing real-time traffic and limited spectrum resources, the communication system must adopt reliable and efficient spectrum sharing techniques for providing improved services to end users. Cooperative cognitive radio network (CCRN) offers a promising solution based on the principle of cooperative diversity where primary users offer transmission opportunities to secondary users in exchange for their relay services. However, existing CCRN models ignore the overhead of cooperation formation and the potential interference introduced by secondary users’ transmissions. This may hurt successful packet delivery, and therefore, they cannot be applied to real-time systems. In this paper, we propose an interference aware reliable communication system for real-time applications exploiting the flexibility of a cooperative cognitive network. We formulate the communication system as a Markov decision process and quantify the impact of cooperation overhead and secondary interference on successful packet delivery through its actions and reward functions. We present a distributed algorithm for use in a realistic multi-user setting where a user applies the algorithm to determine cooperation gain, select cooperation pairs, and schedule cooperative transmissions. The simulation results show that the proposed model improves packet reception rate with low cooperation overhead compared to an existing cooperation model.