PROJECT TITLE :
Cooperative Relay Selection in Cognitive Radio Networks
The advantages of cognitive radio networking (CRN) are well recognized with the rising wireless applications lately. Whereas several existing works assume that the secondary transmissions are negative interferences to the primary users (PUs), in this paper, we take secondary users (SUs) as positive potential cooperators for the PUs. In particular, we think about the matter of cooperative relay choice, in that the PUs actively choose acceptable SUs as relay nodes to boost their transmission performance. The most vital challenge for such a downside is how to select a relay efficiently. Due to the doubtless giant variety of SUs, it's infeasible for a PU to first scan all the SUs and then decide the simplest. Basically, the PU transmitter intends to look at the SUs sequentially. After observing an SU, the PU needs to form a decision concerning whether to terminate its observation and use this SU as its relay or to skip it and observe the subsequent SU. We have a tendency to address this problem by using the optimal stopping theory and derive the optimal stopping rule. We tend to conjointly discuss the optimal observation order of the SUs and analyze the collision chance. To evaluate the performance of our proposed theme, we tend to compare our optimal stopping policy with the random choice policy through simulation study, and therefore the results demonstrate the superiority of our policy. Intensive simulation study is conducted to research the impact of various parameters on the system performance, and also the results indicate that our algorithm can satisfy totally different system necessities by fastidiously tuning the corresponding system parameters.
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