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Wireless Networks
Erschienen in: Wireless Networks 6/2018

30.01.2017

Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques

verfasst von: Prabhat Thakur, Alok Kumar, S. Pandit, G. Singh, S. N. Satashia

Erschienen in: Wireless Networks | Ausgabe 6/2018

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Abstract

In this paper, the hybrid spectrum access and prediction techniques are exploited simultaneously in the high-traffic cognitive radio communication system, in order to enhance the throughput and overcome the problem of waiting states. The hybrid spectrum access is responsible for throughput enhancement by escaping the waiting states whereas the spectrum prediction alleviates the sensing errors in the high-traffic communication environment. The closed-form expression for the throughput of cognitive user (CU) communication is derived and validated the proposed approach with the reported literature. Moreover, a new framework is proposed to conquer the sharing issues of conventional and proposed approaches. In addition to this, the performance metrics of proposed framework such as the data-loss, energy-loss of the CU and interference at the PU have been analyzed.
Vorheriger Artikel The optimal macro control strategies of service providers and micro service selection of users: quantification model based on synergetics
Nächster Artikel Census: fast, scalable and robust data aggregation in MANETs

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Metadaten
Titel
Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques
verfasst von
Prabhat Thakur
Alok Kumar
S. Pandit
G. Singh
S. N. Satashia
Publikationsdatum
30.01.2017
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 6/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1440-7

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