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Kim, Hyoil
Wireless & Mobile Networking Lab (WMNL)
Research Interests
  • Wireless networks, cognitive radio, WLAN, LTE, mobile cloud, 5G

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In-Band Spectrum Sensing in IEEE 802.22 WRANs for Incumbent Protection

Cited 9 times inthomson ciCited 14 times inthomson ci
Title
In-Band Spectrum Sensing in IEEE 802.22 WRANs for Incumbent Protection
Author
Kim, HyoilShin, Kang G.
Keywords
clustered sensor network; Cognitive radio; energy and feature detection; IEEE 802.22; spectrum sensing scheduling
Issue Date
2010-12
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON MOBILE COMPUTING, v.9, no.12, pp.1766 - 1779
Abstract
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 aRSSthreshold 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 aRSSthreshold: noise uncertainty and inter-CRN interference. aRSSthreshold appears to lie between -114.6 dBm and -109.9 dBm with noise uncertainty ranging from 0.5 dB to 2 dB, and between -112.9 dBm and -110.5 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.
URI
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DOI
10.1109/TMC.2010.169
ISSN
1536-1233
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EE_Journal Papers
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