ESCAPE: A Channel Evacuation Protocol for Spectrum-Agile Networks

Liu, Xin; Ding, Zhi

doi:10.1109/dyspan.2007.47

Cited by 39 publications

(17 citation statements)

References 16 publications

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“…For example, after coordinating on a designated signaling channel, frequency-agile devices might switch to bands that are less congested. Thus, the IEEE 802.22 standards group, 2 [46] and a number of researchers (e.g., [43] and [47]- [49]) have considered cooperative mechanisms for secondary devices.…”

Section: Sharing Among Equal Secondaries Devicesmentioning

confidence: 99%

Sharing Spectrum Through Spectrum Policy Reform and Cognitive Radio

2009

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| Traditionally, interference protection is guaranteed through a policy of spectrum licensing, whereby wireless systems get exclusive access to spectrum. This is an effective way to prevent interference, but it leads to highly inefficient use of spectrum. Cognitive radio along with software radio, spectrum sensors, mesh networks, and other emerging technologies can facilitate new forms of spectrum sharing that greatly improve spectral efficiency and alleviate scarcity, if policies are in place that support these forms of sharing. On the other hand, new technology that is inconsistent with spectrum policy will have little impact. This paper discusses policies that can enable or facilitate use of many spectrum-sharing arrangements, where the arrangements are categorized as being based on coexistence or cooperation and as sharing among equals or primary-secondary sharing. A shared spectrum band may be managed directly by the regulator, or this responsibility may be delegated in large part to a license-holder. The type of sharing arrangement and the entity that manages it have a great impact on which technical approaches are viable and effective. The most efficient and cost-effective form of spectrum sharing will depend on the type of systems involved, where systems under current consideration are as diverse as television broadcasters, cellular carriers, public safety systems, point-to-point links, and personal and local-area networks. In addition, while cognitive radio offers policy-makers the opportunity to improve spectral efficiency, cognitive radio also provides new challenges for policy enforcement. A responsible regulator will not allow a device into the marketplace that might harm other systems. Thus, designers must seek innovative ways to assure regulators that new devices will comply with policy requirements and will not cause harmful interference.

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Section: Sharing Among Equal Secondaries Devicesmentioning

confidence: 99%

Sharing Spectrum Through Spectrum Policy Reform and Cognitive Radio

2009

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“…(Two radios in dedicated control channel multichannel MAC case.) These multichannel protocols can further be categorized as follows: (Cordeiro & Challapali, 2007) (Liu & Ding, 2007) (Timmers et al, 2007) Common Hopping (Tang & Garcia-Luna-Aceves, 1998) (Tzamaloukas & Garcia-Luna-Aceves, 2000) Split Phase (Chen et al, 2003) (So & Vaidya, 2004) Multiple Rendezvous (Bahl et al, 2004) (Mo et al, 2008) Wide-Band CDMA/Frequency Coding (Al-Meshhadany & Ajib, 2007) (Zhang et al, 2003) Multi-Radios (Nasipuri et al, 1999) (Jain et al, 2001) …”

Section: Multichannel Mac: Theory and Related Workmentioning

confidence: 99%

“…4-(a), one (or more) control channels are utilized to exchange control signal (such as request to send (RTS) and clear to send (CTS) in WLAN) and distributed sensing (Liu & Ding, 2007) or cooperative sensing (Zhang & Su, 2011) information of CRs. CR using this type of protocol must equip with at least two radios, one (or more) radio is reserved to listen to the control channel.…”

Section: Protocols With Dedicated Control Channelsmentioning

confidence: 99%

Cognitive Media Access Control

Huang¹

2012

Advances in Cognitive Radio Systems

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“…A detailed description and comparative study of the above methods are also provided in [6]. Protocols for sensing primary transmission and evacuating the spectrum were discussed by Visotsky et al [4] and by Liu and Ding [7].…”

Section: Introductionmentioning

confidence: 99%

An Analytical Model for Primary User Emulation Attacks in Cognitive Radio Networks

Anand

Jin

Subbalakshmi

2008

2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks

137

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Abstract-In this paper, we study the denial-of-service (DoS) attack on secondary users in a cognitive radio network by primary user emulation (PUE). Most approaches in the literature on primary user emulation attacks (PUEA) discuss mechanisms to deal with the attacks but not analytical models. Simulation studies and results from test beds have been presented but no analytical model relating the various parameters that could cause a PUE attack has been proposed and studied. We propose an analytical approach based on Fenton's approximation and Markov inequality and obtain a lower bound on the probability of a successful PUEA on a secondary user by a set of co-operating malicious users. We consider a fading wireless environment and discuss the various parameters that can affect the feasibility of a PUEA. We show that the probability of a successful PUEA increases with the distance between the primary transmitter and secondary users. This is the first analytical treatment to study the feasibility of a PUEA.

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ESCAPE: A Channel Evacuation Protocol for Spectrum-Agile Networks

Cited by 39 publications

References 16 publications

Sharing Spectrum Through Spectrum Policy Reform and Cognitive Radio

Sharing Spectrum Through Spectrum Policy Reform and Cognitive Radio

Cognitive Media Access Control

An Analytical Model for Primary User Emulation Attacks in Cognitive Radio Networks

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