Distribution-Free Spectrum Sensing for Full Duplex Cognitive Radio
Autor: | Sanjay Chaudhary, Dhaval K. Patel, Miguel Lopcz-Benitez, K. B. Patel |
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Rok vydání: | 2018 |
Předmět: |
Distribution free
Cognitive radio Transmission (telecommunications) Computer science 020208 electrical & electronic engineering Spectrum (functional analysis) 0202 electrical engineering electronic engineering information engineering Electronic engineering Duplex (telecommunications) 020206 networking & telecommunications 02 engineering and technology Energy (signal processing) Communication channel |
Zdroj: | VTC-Fall |
Popis: | Recent advancements in Full Duplex (FD) radio have built a promising idea for faster channel sensing in cognitive radio. Full duplex cognitive radio (FDCR) provides an efficient way to utilize the idle channel without interrupting the ongoing transmission. Currently, non-parametric sensing techniques like energy detection and its modified techniques are implemented for FDCR. In this paper, we introduce a Goodness of Fit based distribution-free sensing in FDCR. With Monte Carlo simulations and analytical approximation, we show that the proposed technique outperforms energy detection and other goodness-of-fit based sensing algorithms for FDCR. |
Databáze: | OpenAIRE |
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