Spectrum Sensing and Throughput Trade-off in Cognitive Radio under Outage Constraints over Nakagami Fading

The spectrum sensing duration and the secondary user's achievable throughput trade-off is optimized under outage constraints in a cooperative cognitive radio network over Nakagami fading conditions. The optimum trade-off depends not only on the maximum outage probability allowed by the primary...

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Bibliographic Details
Published in:IEEE communications letters 2011-10, Vol.15 (10), p.1110-1113
Main Authors: Cardenas-Juarez, M., Ghogho, M.
Format: Article
Language:English
Subjects:
Applied sciences
Cognitive radio
cooperative networks
Detection
energy detector
Exact sciences and technology
Fading
Information, signal and communications theory
Nakagami distribution
Networks
Optimization
Outages
Radio
Radiocommunication specific techniques
Radiocommunications
Rayleigh channels
Sensors
Signal and communications theory
Signal representation. Spectral analysis
Signal to noise ratio
Signal, noise
Simulation
Spectrum sensing
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Throughput
Tradeoffs
Transmission and modulation (techniques and equipments)
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Summary:The spectrum sensing duration and the secondary user's achievable throughput trade-off is optimized under outage constraints in a cooperative cognitive radio network over Nakagami fading conditions. The optimum trade-off depends not only on the maximum outage probability allowed by the primary user and the number of cognitive users involved in the sensing but also on the fading operational conditions of the cognitive radio. The parameters of the Nakagami fading distribution can be adjusted to fit different fading environments. The fading parameter (also called shape parameter) of the Nakagami distribution affects the optimum sensing time, which increases when the fading conditions are worse than Rayleigh fading. For the energy detector, the expression for the probability of false alarm is obtained in terms of a new threshold, which is derived considering an outage constraint on the channel-dependent probability of detection. Then, the optimization problem is formulated. Simulation results quantify the effects of different fading parameters on the optimum spectrum sensing duration.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2011.080811.111127