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Shweta Pandit

Researcher at Jaypee University of Information Technology

Publications -  41
Citations -  530

Shweta Pandit is an academic researcher from Jaypee University of Information Technology. The author has contributed to research in topics: Cognitive radio & Spectral efficiency. The author has an hindex of 12, co-authored 38 publications receiving 422 citations.

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An overview of spectrum sharing techniques in cognitive radio communication system

TL;DR: The potential advantages, limiting factors, and characteristic features of the existing cognitive radio spectrum sharing domains are thoroughly discussed and an overview of the spectrum sharing is provided as it ensures the channel access without the interference/collision to the licensed users in the spectrum.
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Analysis of optimal threshold selection for spectrum sensing in a cognitive radio network: an energy detection approach

TL;DR: The proposed optimal threshold selection approach has improved throughput approximately 24.63% when compared with CDR at chosen SNR and provided better sensing performance in comparison to that of the traditional constant false-alarm rate and constant detection rate (CDR) threshold selection approaches.
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Spectrum mobility in cognitive radio network using spectrum prediction and monitoring techniques

TL;DR: In the proposed strategy, the decision results of the spectrum prediction and monitoring techniques are fused using AND and OR fusion rules, for the detection of emergence of PU during the data transmission.
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Throughput maximization with reduced data loss rate in cognitive radio network

TL;DR: A technique to eliminate the sensing-throughput trade-off of the conventional method in the cognitive radio network is investigated and a frame structure is proposed for eliminating such an issue which is presented in the conventional approach.
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Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques

TL;DR: The closed-form expression for the throughput of cognitive user (CU) communication is derived and validated the proposed approach with the reported literature and a new framework is proposed to conquer the sharing issues of conventional and proposed approaches.