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Prabhat K. Sharma

Publications and source records attributed to Prabhat K. Sharma.

2 recordsLinked to original sources

Opportunistic Scheduling in Underlay Cognitive Radio based Systems: User Selection Probability Analysis

In this paper, an underlay cognitive radio (CR) system is considered with multiple cognitive or secondary users contending to transmit their information to the cognitive destination (e.g., eNodeB) using the spectral resource of a primary user. The novel closed-form expressions are derived for the selection probabilities of cognitive users with opportunistic scheduling wherein an optimal metric is employed for opportunistic transmission. The analytical results corroborated by the Monte Carlo simulations, can be used to demonstrate the fairness achieved in opportunistic scheduling. It is shown that the fairness in terms of equal chance for transmission amongst all cognitive users can only be seen for the scenarios when the fraction of distances between the cognitive transmitter and cognitive receiver, and cognitive transmitter and primary receiver is identical for each of the cognitive transmitters.

cs.IT

Opportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks

This work proposes an optimal metric for opportunistic scheduling of secondary user transmitters (SU-TXs) in underlay cognitive radio based multiple-input multiple-output radio frequency/free space optical (MIMO-RF/FSO) decode-and-forward system with fixed and proportional interference power constraints. To analyze the performance of the proposed system, the closed-form expressions are derived for the exact and asymptotic outage probabilities considering orthogonal space-time block coded transmission over Nakagami-$m$ fading RF links. Further, the FSO link between the relay and destination eNodeB is modeled as the Generalized Málaga $(\mathcal{M})$ turbulence channel with pointing errors. Finally, simulation results are presented to develop several interesting insights into the end-to-end system performance and the selection probabilities of SU-TXs. It is also shown that the proposed system outperforms the ones existing in the current literature.

cs.IT