Spectrum Sensing Framework in Cognitive Radio using GA and Grey Wolf Optimization

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.5 · Issue 4

Published

November 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Shruti Sharma Rahul Gedam

Spectrum sensing has been identified as a key enabling functionality to ensure that cognitive radios would not interfere with primary users, by reliably detecting primary user signals. The performance of spectrum detection is regularly traded off with multipath fading, shadowing and receiver uncertainty problems. To relieve the effect of these issues, spectrum sensing has been appeared to be a powerful technique to enhance the performance of detection by using spatial diversity. This paper proposes a comparative analysis of Singular Value based Detection (SVD) using Genetic Algorithm (GA) and Grey Wolf Optimization (GWO) for spectrum sensing.

Shruti Sharma, Rahul Gedam (2016). Spectrum Sensing Framework in Cognitive Radio using GA and Grey Wolf Optimization. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.5, Issue 4. ISSN: 2319-4863.

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