Download e-book for iPad: Advanced Sensing Techniques for Cognitive Radio by Guodong Zhao, Wei Zhang, Shaoqian Li

By Guodong Zhao, Wei Zhang, Shaoqian Li

ISBN-10: 3319427830

ISBN-13: 9783319427836

ISBN-10: 3319427849

ISBN-13: 9783319427843

This SpringerBrief investigates complex sensing suggestions to observe and estimate the first receiver for cognitive radio structures. besides a accomplished assessment of present spectrum sensing ideas, this short makes a speciality of the layout of recent sign processing thoughts, together with the region-based sensing, jamming-based probing, and relay-based probing. The proposed sensing thoughts target to observe the within sight basic receiver and estimate the cross-channel achieve among the cognitive transmitter and first receiver. The functionality of the proposed algorithms is evaluated through simulations when it comes to numerous functionality parameters, together with detection likelihood, interference chance, and estimation mistakes. the implications convey that the proposed sensing recommendations can successfully experience the first receiver and increase the cognitive transmission throughput. Researchers and postgraduate scholars in electric engineering will locate this an excellent resource.

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IEEE Signal Processing Magazine, 24, 79–89. 6. Yucek, T. & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130. 7. Digham, F. , Alouini, M. , & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications, 55(1), 21–24. 8. Tandra, R. & Sahai, A. (2008). SNR walls for signal detection. IEEE Journal on Selected Topics in Singal Proccessing, 2(1), 4–17.

2a, e. d/ is also obtained from [12]. 34). However, it is very difficult to obtain the closed-form expression of the optimal thresholds. Therefore, we will calculate them numerically. 5 Simulation Results In this section, we demonstrate the advantages of the proposed detectors, called one-threshold detector (OTD) and double-threshold detector (DTD). To compare with the conventional transmitter detection, we also provide the performance of the energy detector (ED) [13, 14], where the threshold is calculated under Neyman Pearson criteria with 1 % false alarm probability.

Therefore, efficient spectrum sharing schemes require the cross-channel gain [3]. In practice, estimating the cross-channel gain is a very challenging task. In frequency-division duplex (FDD) systems, the cross-channel gain can only be estimated by the PR and sent back to the CT via the backhaul link between the two systems. However, such a backhaul assumption is usually invalid in cognitive radio networks [4]. In time-division duplex (TDD) systems, the cross-channel gain can be obtained by the CT in the PR’s reverse transmission if the CT knows the transmission power of the PR.

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Advanced Sensing Techniques for Cognitive Radio by Guodong Zhao, Wei Zhang, Shaoqian Li


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