ICT 2013, 20th International Conference on Telecommunications, 6-8 May 2013, Casablanca, Morocco
This paper investigates the energy-efficiency of wellknown spectrum sensing algorithms that exploit the sensed signal's energy, autocorrelation or cyclostationarity features to
estimate the presence or absence of that signal in a given spectrum. We investigate the trade-off between energy-efficiency, complexity, and sensing accuracy of those detectors and, their
suitability for energy-efficientWiFi spectrum sensing that enables interoperability of Long Term Evolution Advanced (LTE-A) and WiFi systems. Results obtained show significant improvement in correct detection probability and reduced sensing time using the low complexity autocorrelation detectors when compared to other detectors under low signal to noise ratio channel conditions.
Type:
Conference
City:
Casablanca
Date:
2013-05-06
Department:
Communication systems
Eurecom Ref:
3950
Copyright:
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