DocumentCode :
2147410
Title :
Throughput Optimization for Cooperative Spectrum Sensing in Cognitive Radio Networks
Author :
Teguig, D. ; Scheers, B. ; Le Nir, V.
Author_Institution :
Dept. CISS, R. Mil. Acad., Brussels, Belgium
fYear :
2013
fDate :
25-27 Sept. 2013
Firstpage :
237
Lastpage :
243
Abstract :
In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for cooperative spectrum sensing under different combining rules and scenarios. The combining rules considered in this study are the OR hard combining rule, the AND hard combining rule, the Equal Gain Soft combining rule and the two-bit quantized (softened hard) combining rule. For all combining rules, the detection performance, with a Gaussian distribution assumption, is expressed in two different scenarios, CPUP (Constant Primary User Protection) and CSUSU (Constant Secondary User Spectrum Usability). A comparison, based on simulations, is conducted between these proposed schemes in both scenarios, in terms of detection performance and throughput capacity of the CR network.
Keywords :
Gaussian distribution; cognitive radio; radio spectrum management; signal detection; AND hard combining rule; Equal Gain Soft combining rule; Gaussian distribution assumption; OR hard combining rule; cognitive radio networks; constant primary user protection; constant secondary user spectrum usability; cooperative spectrum sensing; softened hard combining rule; throughput optimization; two-bit quantized combining rule; Cascading style sheets; Cognitive radio; Diversity reception; Optimization; Sensors; Signal to noise ratio; Throughput; Capacity; Cognitive Radio; Combining Rules; Cooperative Spectrum Sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference on
Conference_Location :
Prague
Type :
conf
DOI :
10.1109/NGMAST.2013.50
Filename :
6658131
Link To Document :
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