Titlebook: Spectrum Sharing in Cognitive Radio Networks; Medium Access Contro Shweta Pandit,Ghanshyam Singh Book 2017 Springer International Publishin

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Cognitive Radio Communication System: Spectrum Sharing Techniques,s from technology, economics, and regulations. The important characteristics of spectrum sharing methods include identifying the available spectrum resource, deciding on the optimal sensing and transmission time and proper coordination among the users for spectrum access. Recently, cognitive radio t

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Spectrum Sensing in Cognitive Radio Networks: Potential Challenges and Future Perspective,ations and continuous demand for higher data-rates, the radio frequency (RF) spectrum is becoming more and more crowded. This development calls for systems and devices that are aware of their surrounding RF environment, so they can facilitate flexible, efficient, and reliable operation and utilizati

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Medium Access Control Protocol for the Distributed Cognitive Radio Network,ive users to reserve chunks of the spectrum for certain periods of time. However, the modeling of variable bandwidths for communication in cognitive radio is very complicated, and channel accessing policies must be defined for the cognitive radio users. In this chapter, we compare various medium acc

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Distributed Cognitive Radio Medium Access Control Protocol in Perfect and Imperfect Channel Sensing the performance of throughput and energy efficiency of the cognitive radio network. Idle channel detection in the cognitive radio MAC protocol is affected by false alarm probability that occurs due to imperfect sensing. A false alarm occurs when the cognitive user falsely (imperfectly) detects a li

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Power Allocation for Optimal Energy Efficiency in MAC Protocol of Cognitive Radio Communication Sys, gaming, social media, and multimedia downloads—which quickly drain the battery of the user terminal; therefore we need to design an energy-efficient user terminal that provides more battery life. Primary users recurrence rate return to the licensed band also impacts the energy efficiency of the co

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Capacity Limits Over Fading Environment with Imperfect Channel State Information for Cognitive Radiarch. The channel state information (CSI) between cognitive user (CU) transmitter and the primary user (PU) receiver is employed to compute the maximum CU transmit power allowable to limit the interference. Channel capacity is the best performance metric to analyze any cognitive radio network model,