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Secured opportunistic Medium Access Control (MAC) and complexity reduction inchannel estimation are proposed in the Cross layer design Cognitive RadioNetworks deploying the secured dynamic channel allocation from the endorsedchannel reservation. Channel Endorsement and Transmission policy is deployed tooptimize the free channel selection as well as channel utilization to cognitiveradio users. This strategy provide the secured and reliable link to secondaryusers as well as the collision free link to primary users between the physicaland MAC layers which yields the better network performance. On the other hand,Complexity Reduction in Minimum Mean Square Errror (CR-MMSE) and MaximumLikelihood (CR-ML) algorithm on Decision Directed Channel Estimation (DDCE) isdeployed significantly to achieve computational complexity as Least Square (LS)method. Rigorously, CR-MMSE in sample spaced channel impulse response (SS-CIR)is implemented by allowing the computationally inspired matrix inversion.Regarding CR-ML, Pilot Symbol Assisted Modulation (PSAM) with DDCE isimplemented such the pilot symbol sequence provides the significant performancegain in frequency correlation using the finite delay spread. It is found thatCRMMSE demonstrates outstanding Symbol Error Rate (SER) performance over MMSEand LS, and CR-ML over MMSE and ML.

Secured Distributed Cognitive MAC and Complexity Reduction in Channel Estimation for the Cross Layer based Cognitive Radio Networks