Publication Type:

Journal Article

Source:

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, Springer International Publishing, Cham (2021)

ISBN:

9783030475604

URL:

https://link.springer.com/chapter/10.1007/978-3-030-47560-4_30

Abstract:

In this paper, we have analyzed the performance of different classifications of spectrum sharing techniques. A number of important performance parameters such as throughput, association probability, empirical cumulative distribution function (CDF), signal to interference noise ratio (SINR), percentile of user rate, and varying bandwidth are considered in the analysis. In this work, we have also compared the multiuser interference with K number of cognitive radio networks (CRs) where the existence of user equipment (UE) is assumed. We have compared different types of CR channels such as multi-access channels (MAC), parallel access channels (PAC), and broadcast channels (BC), with fully licensed spectrum sharing network. The analysis is done for the number of use cases and scenarios. It is observed that throughput is higher for MAC and PAC when CR is less than 100. It is also seen that for more number of base station per km2, the throughput is high, but SINR is lowered.

Cite this Research Publication

B. Suresh Babu and Dr. Navin Kumar, “Performance Analysis of Spectrum Sharing in mmWave Cellular Networks”, 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, 2021.