NDLI: A novel spectrum sensing scheduling scheme for PU and SU signal differentiation in CR networks

Content Provider	IEEE Xplore Digital Library
Author	Dan Wang Zhitao Yang Yi Song
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA (Dan Wang; Zhitao Yang; Yi Song)
Abstract	In cognitive radio (CR) networks, spectrum sensing is an essential operation for unlicensed users to discover available spectrum opportunities for communications. However, current spectrum sensing techniques have a drawback that they can only detect the existence of signals but they cannot differentiate whether the detected signals come from licensed users or unlicensed users. This drawback leads to a significant waste of spectrum resources, which greatly limits the spectrum utilization of unlicensed users. In this paper, we investigate the issue of differentiating the licensed user and unlicensed user signals. A novel spectrum sensing scheduling scheme is proposed to solve this issue. Under the proposed spectrum sensing scheduling scheme, accurate sensing results on licensed users are obtained. Simulation results show that the proposed spectrum sensing scheduling scheme outperforms the scenario without signal differentiation in terms of higher unlicensed user throughput. To the best of our knowledge, this is the first work that investigates the signal differentiation issue between licensed users and unlicensed users in CR networks.
Starting Page	5697
Ending Page	5702
File Size	428042
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7249230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Data communication Markov processes Throughput Probability Steady-state Accuracy
Content Type	Text
Resource Type	Article

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