IEEE 1900.6: spectrum sensing interfaces and data structures for dynamic spectrum access and other advanced radio communication systems standard: technical aspects and future outlook

Murroni, Maurizio; Prasad, Ramjee; Marques, Paulo; Bochow, Bernd; Noguet, Dominique; Sun, Chen; Moessner, Klaus; Harada, Hiroshi

doi:10.1109/mcom.2011.6094015

Cited by 34 publications

(7 citation statements)

References 6 publications

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“…In CR scenario, the channel opportunities (i.e. B × T ) can be identified by spectrum sensing to be periodically performed before transmission . In the proposed system, we assume perfect knowledge of the transmission opportunities and MRM is designed to exploit the available transmission opportunities: if the channel constraints do not allow the transmission of the signal at all the resolutions, corresponding wavelet carriers which can be potentially harmful are suppressed.…”

Section: System Modelmentioning

confidence: 99%

“…Adaptive complex schemes are adopted to sense the channel and transmit if opportunities are available. Power measurement , statistic , cooperative and multiband approaches have been proposed to identify the spectrum holes potential candidate for opportunistic transmission. A transmission opportunity is defined by the product B × T , when B and T are not simultaneously known.…”

Section: Introductionmentioning

confidence: 99%

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Robust multi‐rate modulation for cognitive radio communications over land mobile satellite channel at Ku‐band

Murroni

Popescu

Fadda

et al. 2016

Satell Commun Network

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The usable satellite spectrum is becoming scarce because of continuously increasing demand for broadcast, multimedia and interactive services. Because of the extensive use of predictive coding, multimedia data exhibit different sensitivities to transmission errors, which makes them suitable for unequal error protection (UEP) techniques. UEP mainly relies on differentiated error control coding which raises the robustness of data, but also increases the transmission bandwidth, which can be unwanted in case of limited resources often occurring in satellite communications. In this context, cognitive radio (CR) satellite communications has received important attention lately in the research community. In multi-rate modulations (MRM), the properties of dy-homogeneous signals are exploited to transmit over multiple band frequencies and time scales. MRM have been proved to be effective on unknown channels either in bandwidth or time. These conditions occur in CR networks where opportunistic communications are set up while preserving primaries licensed users. In CR, the uncertainty of transmission opportunity makes the use of error correcting codes not trivial. Therefore, to achieve robustness, this work proposes unequal power allocation (UPA) over the symbols of MRM according to both data sensitivity to channel errors and spectrum availability. As optimization criterion, the mean square error between the original and the decoded message, which has shown strong correlation with subjective perception, is used. To assess the effectiveness of the proposed scheme in realistic condition for CR satellite networks, the Land Mobile Satellite (LMS) model at Ku-band is used to reproduce the memory associated with real channels. The non-linearity of the satellite channel because of high power amplifier (HPA) prior to transmission has been accounted using the Saleh model

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust multi‐rate modulation for cognitive radio communications over land mobile satellite channel at Ku‐band

Murroni

Popescu

Fadda

et al. 2016

Satell Commun Network

Self Cite

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“…The IEEE Standard Coordinating Committee 41 (SCC41), formerly known as the IEEE 1900 task force , was created by the IEEE to work in the area of DSA networks for CR standardization. The IEEE SCC41 is divided into four WGs termed as 1900.x, “x” being the WG.…”

Section: Cognitive Radio Standardizationmentioning

confidence: 99%

Evolution and future trends of research in cognitive radio: a contemporary survey

Hossain

Niyato

Kim

2013

Wirel. Commun. Mob. Comput.

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The cognitive radio (CR) paradigm for designing next‐generation wireless communications systems is becoming increasingly popular, and different aspects of it are being implemented in currently available wireless systems. In the last decade, a significant amount of research efforts has been made to solve CR challenges, and several standards related to CR and dynamic spectrum access have been developed. Also, there have been advances in software‐defined radio platforms to implement the CR systems. In this article, we provide a comprehensive survey on the evolution of CR research covering aspects such as spectrum sensing, measurements and statistical modeling of spectrum usage, physical layer aspects such as waveform and modulation design, multiple access, resource allocation and power control, cognitive learning, adaptation and self‐configuration, multihop transmission and routing, and robustness and security in CR networks. Also, state‐of‐the‐art research on the economics of CR networks, CR simulation tools, testbeds and hardware prototypes, CR applications, and CR standardization efforts is summarized. Emerging trends on CR research and open research challenges related to the cost‐effective and large‐scale deployment of CR systems are outlined. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The convergence of the distributed sensing with the cognitive engine enables the adaptive waveform design, intelligent processing of sensing information, etc. The referenced system interface and architecture are well described in IEEE 1900.6 [11], [2] as Fig. 2.…”

Section: Cognitive Radio Network As Sensors: Experiments and Lesmentioning

confidence: 99%

Towards A Large-Scale Cognitive Radio Network Testbed: Spectrum Sensing, System Architecture, and Distributed Sensing

Qiu

Zhang

et al. 2012

JCM

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This paper presents a comprehensive review of the cognitive radio network (CRN) testbed built at TTU. Our goals are (1) to use our CRN testbed as a data acquisition tool; (2) to use random matrix theory to model the collect data and apply the new models in the context of quantum information. We attempt to achieve a balance between experimental work and theoretical work. We first spell out the vision and concrete tasks for our research in the near future. Second, we review our latest results in an more accessible manner than the conference version.

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IEEE 1900.6: spectrum sensing interfaces and data structures for dynamic spectrum access and other advanced radio communication systems standard: technical aspects and future outlook

Cited by 34 publications

References 6 publications

Robust multi‐rate modulation for cognitive radio communications over land mobile satellite channel at Ku‐band

Robust multi‐rate modulation for cognitive radio communications over land mobile satellite channel at Ku‐band

Evolution and future trends of research in cognitive radio: a contemporary survey

Towards A Large-Scale Cognitive Radio Network Testbed: Spectrum Sensing, System Architecture, and Distributed Sensing

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