The Community for Technology Leaders
Green Image
Issue No. 12 - December (2010 vol. 9)
ISSN: 1536-1233
pp: 1766-1779
Hyoil Kim , The University of Michigan, Ann Arbor
Kang G. Shin , The University of Michigan, Ann Arbor
In cognitive radios, in-band spectrum sensing is essential for the protection of legacy spectrum users, enabling secondary users to vacate channels immediately upon detection of primary users. For in-band sensing, it is important to meet detectability requirements, such as the maximum allowed detection latency and the probability of misdetection and false alarm. In this paper, we propose key techniques for efficient in-band sensing. We first advocate the use of clustered sensor networks, and propose a periodic in-band sensing algorithm that optimizes sensing period and sensing time to meet the detectability requirements while minimizing sensing overhead. The scheme also determines the better of energy or feature detection incurring less sensing overhead at each SNR level, and derives the threshold aRSS_{threshold} on the average received signal strength of a primary signal above which energy detection is preferred to feature detection. We consider two key factors affecting aRSS_{threshold}: noise uncertainty and inter-CRN interference. aRSS_{threshold} appears to lie between -114.6 {\rm dBm} and -109.9 {\rm dBm} with noise uncertainty ranging from 0.5 dB to 2 dB, and between -112.9 {\rm dBm} and -110.5 {\rm dBm} with 1-6 interfering CRNs. We also investigate how strict the detection requirement must be for efficient reuse of idle channels without incurring unnecessary channel switches due to false detection of primaries.
Cognitive radio, IEEE 802.22, energy and feature detection, clustered sensor network, spectrum sensing scheduling.

K. G. Shin and H. Kim, "In-Band Spectrum Sensing in IEEE 802.22 WRANs for Incumbent Protection," in IEEE Transactions on Mobile Computing, vol. 9, no. , pp. 1766-1779, 2010.
84 ms
(Ver 3.3 (11022016))