PROJECT TITLE :

Adaptive Random Access for Cooperative Spectrum Sensing in Cognitive Radio Networks

ABSTRACT:

In this paper, an adaptive cooperative spectrum sensing theme using random access is proposed in an exceedingly cognitive radio network. Although cooperative spectrum sensing improves the performance of spectrum sensing considerably, the problem of how to gather sensing knowledge ought to be solved for the implementation of the cooperative sensing. This isn't an simple downside because sophisticated coordination between secondary users paprticipating within the cooperative sensing is required. This study addresses this drawback in an environment of unequal SNR values of primary user signal at the secondary users. In the proposed theme, random access is employed to collect the spectrum sensing information of the secondary users throughout collection amount and the length of the collection period is determined adaptively primarily based on the sensing data collected therefore way. Thus, complicated slot management for the gathering of the sensing data isn't necessary. This adaptive determination of the gathering amount is formulated as a finite-horizon decision problem. Backward induction approach is used to decide the optimal stopping time of the gathering period. Further, a heuristic algorithm is proposed, which virtually equals the performance of the backward induction method and whose time complexity is much smaller than the backward induction scheme. Analysis of the proposed theme is additionally provided. Numerical results show that the proposed theme performs much better than alternative standard ways.


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