UniQCS: Uniform Quantization for Cooperative Sensing

It is a set of functions for performance evaluation of cooperative sensing that uses quantization

UniQCS is used in http://onlinelibrary.wiley.com/doi/10.1002/dac.2408/full
P.S. You have to compile .c files with a mex compiler to run the evaluation part (IMPORTANT)
http://mathworks.com/help/matlab/matlab_external/build-an-executable-mex-file.html

You can also find the data folder that is used in the paper, so you can load the data and just plot the figures via runFigXX.m script files (script files include how to run and save the data and the plot part). If you load the data you may directly plot the figures in the paper.

H. Birkan Yilmaz, Tuna Tugcu, and Fatih Alagoz, "Novel quantization-based spectrum sensing scheme under imperfect reporting channel and false reports"

Abstract: In this paper a novel sensing scheme, (UniQCS), that employs a uniform quantizer is proposed. UniQCS is based on energy detection and uses weight vector for global decision function. It performs better than hard decision algorithms such as Majority and K-out-of-N in terms of probability of detection and false alarm at the cost of a marginal increase in overhead bits under imperfect reporting channel and false reports. The probability of detection is maximized for a given probability of false alarm constraint by the proposed method. For detailed analysis, the UniQCS is compared with equal gain combiner scheme, which performs far better than hard decision algorithms, via highest bandwidth requirement. The proposed algorithm performs close to equal gain combiner. Moreover, the robustness of UniQCS to sensing error is analyzed when some nodes always report false decisions to the fusion center and the reporting channel is imperfect. For probability of false alarm equal to 0.01, performance gain of UniQCS is at least 45\% compared to the other methods when there are two false reporting nodes. UniQCS performance gain is at least 15\% compared to other methods for probability of reporting channel error equal to 0.001.