Primary User Detection in Distributed Cognitive Radio Networks under Timing Inaccuracy

Nieminen, Jari; Jäntti, Riku; Qian, Lijun

doi:10.1109/dyspan.2010.5457865

Cited by 13 publications

(12 citation statements)

References 17 publications

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“…On the other hand, O F is the sensing overhead of feature detection, which is assumed to be a constant, e.g., feature detection takes up to 26 ms for DTV signal detection. The first and second terms in (26) are monotonically increasing and decreasing functions of P th . Therefore, there exists an optimal P Ã th that minimizes the total sensing overhead.…”

Section: Finding the Optimal Threshold P ã Thmentioning

confidence: 96%

“…Here, we assume that the sensing-time overhead of feature detection is O F ¼ 20 ms. The sensing overhead is calculated using (26) in Section 5. A small P th means that the fusion center relies more on feature detection, and vice versa; the fusion center may need to employ more sensors and schedule more sensing periods for energy detection as P th increases.…”

Section: Impact Of P ã Th On Sensing Overheadmentioning

confidence: 99%

“…Scheduling sensing also aims to improve detection performance by having SUs perform spectrum sensing at various time intervals, thereby exploiting temporal variations in received signal strengths (RSSs) at each sensor [4], [25]. However, all SUs (sensors) 2 must remain silent during sensing periods so that SU signals are not misinterpreted as primary signals [26]. These periods of silence waste precious resources, such as energy and time, and ultimately degrade the quality-of-service (QoS) of SU communications.…”

mentioning

confidence: 99%

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Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Min

Shin

2013

IEEE Trans. on Mobile Comput.

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Abstract-Spectrum sensing is key to the realization of dynamic spectrum access. To protect primary users' communications from the interference caused by secondary users, spectrum sensing must meet the strict detectability requirements set by regulatory bodies, such as the FCC. Such strict detection requirements, however, can hardly be achieved using PHY-layer sensing techniques alone with one-time sensing by only a single sensor. In this paper, we jointly exploit two MAC-layer sensing methods-cooperative sensing and sensing scheduling-to improve spectrum sensing performance, while incurring minimum sensing overhead. While these sensing methods have been studied individually, little has been done on their combinations and the resulting benefits. Specifically, we propose to construct a profile of the primary signal's RSSs and design a simple, yet near-optimal, incumbent detection rule. Based on this constructed RSS profile, we develop an algorithm to find 1) an optimal set of sensors; 2) an optimal point at which to stop scheduling additional sensing; and 3) an optimal sensing duration for one-time sensing, so as to make a tradeoff between detection performance and sensing overhead. Our evaluation results show that the proposed sensing algorithms reduce the sensing overhead by up to 65 percent, while meeting the requirements of both false-alarm and misdetection probabilities of less than 0.01.

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Section: Finding the Optimal Threshold P ã Thmentioning

confidence: 96%

Section: Impact Of P ã Th On Sensing Overheadmentioning

confidence: 99%

mentioning

confidence: 99%

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Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Min

Shin

2013

IEEE Trans. on Mobile Comput.

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“…Feature detection is known to provide high accuracy without collaboration amongst SUs even at a low SNR [24]. Thus, it is better suited for ad-hoc secondary networks, in which SU collaboration may not be feasible due to the needs for information exchange and global time synchronization [25].…”

Section: B Distributed Spectrum Sensing and Access Modelsmentioning

confidence: 99%

Opportunistic spectrum access for mobile cognitive radios

Min

Kim²,

Singh³

et al. 2011

2011 Proceedings IEEE INFOCOM

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Abstract-Cognitive radios (CRs) can mitigate the impending spectrum scarcity problem by utilizing their capability of accessing licensed spectrum bands opportunistically. While most existing work focuses on enabling such opportunistic spectrum access for stationary CRs, mobility is an important concern to secondary users (SUs) because future mobile devices are expected to incorporate CR functionality. In this paper, we identify and address three fundamental challenges encountered specifically by mobile SUs. First, we model channel availability experienced by a mobile SU as a two-state continuous-time Markov chain (CTMC) and verify its accuracy via in-depth simulation. Then, to protect primary/incumbent communications from SU interference, we introduce guard distance in the space domain and derive the optimal guard distance that maximizes the spatio-temporal spectrum opportunities available to mobile CRs. To facilitate efficient spectrum sharing, we formulate the problem of maximizing secondary network throughput within a convex optimization framework, and derive an optimal, distributed channel selection strategy. Our simulation results show that the proposed spectrum sensing and distributed channel access schemes improve network throughput and fairness significantly, and reduce SU energy consumption for spectrum sensing by up to 74 %.

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“…TV or wireless microphone transmissions. Mechanisms for detecting primary signals have been widely studied and some proposals have appeared in the literature [22,23]. -RFF of the primary emitter.…”

Section: From Input Modulementioning

confidence: 99%

Towards a Cooperative Intrusion Detection System for Cognitive Radio Networks

León

Román

Hernández-Serrano

2011

NETWORKING 2011 Workshops

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Abstract. Cognitive Radio Networks (CRNs) arise as a promising solution to the scarcity of spectrum. By means of cooperation and smart decisions influenced by previous knowledge, CRNs are able to detect and profit from the best spectrum opportunities without interfering primary licensed users. However, besides the well-known attacks to wireless networks, new attacks threat this type of networks. In this paper we analyze these threats and propose a set of intrusion detection modules targeted to detect them. Provided method will allow a CRN to identify attack sources and types of attacks, and to properly react against them.

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Primary User Detection in Distributed Cognitive Radio Networks under Timing Inaccuracy

Cited by 13 publications

References 17 publications

Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Opportunistic spectrum access for mobile cognitive radios

Towards a Cooperative Intrusion Detection System for Cognitive Radio Networks

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