Designing and deploying a building-wide cognitive radio network testbed

Newman, T. J.; Hasan, S. M. Shajedul; DePoy, Daniel; Bose, T.; Reed, Jeffrey H.

doi:10.1109/mcom.2010.5560594

Cited by 37 publications

(16 citation statements)

References 5 publications

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“…This is mainly because its full benefits would require disruptive regulation rules, where spectrum resources would be allocated according to actual needs at a specific location in space and time, rather than ruled by fixed frequency assignments [2]. Therefore, first experimental over-the-air testbeds were restricted to the ISM bands [3][4][5] and/or to the research community [6,7].…”

Section: Introductionmentioning

confidence: 99%

Advances in opportunistic radio technologies for TVWS

Noguet

Gautier

Berg

2011

J Wireless Com Network

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Cognitive radio has been an active research area in wireless communications over the past 10 years. TV Digital Switch Over resulted in new regulatory regimes, which offer the first large-scale opportunity for cognitive radio and networks. This article considers the most recent regulatory rules for TV White Space opportunistic usage, and proposes technologies to operate in these bands. It addresses techniques to assess channel vacancy by the cognitive radio, focusing on the two incumbent systems of the TV bands, namely TV stations and wireless microphones. Spectrum-sensing performance is discussed under TV White Space regulation parameters. Then, modulation schemes for the opportunistic radio are discussed, showing the limitations of classical multi-carrier techniques and the advantages of filter bank modulations. In particular, the low adjacent band leakage of filter bank is addressed, and its benefit for spectrum pooling is stressed as a means to offer broadband access through channel aggregation.

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Section: Introductionmentioning

confidence: 99%

Advances in opportunistic radio technologies for TVWS

Noguet

Gautier

Berg

2011

J Wireless Com Network

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“…Several WBAN hardware platforms designed based on CR technology are also developed [12], Currently widely used and studied platforms include the platform developed by Virginia Tech [13], software radio Sora developed by Microsoft research center [14] and wireless open-access research platform (WARP) developed by Rice University [15]. To take the advantage of high performance and high accuracy of channel accessing technology, these platforms emphasize more on the strategy of spectrum sensing and signal processing.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Cognitive Enhanced Platform for WBAN

Shen

Liu

et al. 2013

2013 IEEE/CIC International Conference on Communications in China (ICCC)

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Rapid development in wireless sensor device manufacture technologies has made it possible to conglutinate and implant the medical sensors on human body. The improvement of these technologies can be applied to wireless body area network (WBAN) on medical applications. A uniform standard in the field of WBAN, IEEE 802.15.6 has been released recently by IEEE 802.15 TG 6 group, indicating that WBAN will play an important role in future E-health medical system field. This paper presents a WBAN validation platform, Adaptive Cognitive Enhanced Platform (ACEP), which is based on IEEE 802.15.6 and works in the spectrum of Industrial Scientific and Medical (ISM) 2.4GHz band. However, other wireless services occupying ISM band, such as WiFi, Bluetooth and Zigbee will cause great interference to low power, low data rate medical WBANs deployed nearby. To build the realistic co-channel interference scenario, a WiFi network working on the same spectrum is utilized. Furthermore, to strengthen WBAN's robustness against interference caused by WiFi, we have proposed and implemented a fast dynamic cognitive radio (FDCR) algorithm to stagger the spectrum accessing time, which offers an efficient method for coexistence of WBAN and other wireless systems. Through calculating the indicated WiFi temporal white-spaces for WBAN communication, FDCR algorithm minimizes the impact of cochannel interference and promotes resource allocation efficiency. Our simulation and platform validation experiments show that the proposed FDCR algorithm can greatly decrease packets drop rate and improve channel utilization.

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“…Chowdhury and Melodia [12] argue that current simulators make several simplifying assumptions concerning the characteristics of real systems, resulting in questionable results. Newman et al [62] also refer that CR research has been mostly limited to theoretical frameworks and simulations, or in few cases to prototypes for small-scale experiments. Theoretical models and simulations enable to achieve a view of what the limits could be, i.e., the performance goals.…”

Section: Validation Of Cr Proposalsmentioning

confidence: 99%

“…However, experimental tesbeds enable an evaluation and refinement of the models. They provide much more practical results, especially concerning practicality, limitations, and the proof that harmful interference to primary users is avoided [62]. Hence, the existence of experimental platforms and testbeds is highly desirable, and a few proposals already exist, such as the framework presented by Jia and Zhang [36], Iris [63], ORBIT (Open Access Research Testbed for NextGeneration Wireless Networks) [64], and CORNET (CR Network) [62].…”

Section: Validation Of Cr Proposalsmentioning

confidence: 99%

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

2011

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Currently, the radio spectrum is statically allocated and divided between licensed and unlicensed frequencies. Due to this inflexible policy, some frequency bands are growing in scarcity, while large portions of the entire radio spectrum remain unused independently of time and location. Cognitive Radio is a recent network paradigm that aims a more flexible and efficient usage of the radio spectrum. Basically, it allows wireless devices to opportunistically access portions of the entire radio spectrum without causing any harmful interference to licensed users. The present document surveys the literature on Cognitive Radio. It aims to provide a comprehensive and self-contained description of this research topic area, mainly focusing on communication protocols, spectrum decision issues, and future research directions. It is a tutorial in nature and consequently does not require any previous knowledge about Cognitive Radio. Readers are only required to have some general background on wireless data networks. Emphasis is put on Cognitive Radio genesis, issues that must be addressed, related technologies, standardization efforts, the state of the art, and future research directions according to the vision of the authors.

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Designing and deploying a building-wide cognitive radio network testbed

Cited by 37 publications

References 5 publications

Advances in opportunistic radio technologies for TVWS

Advances in opportunistic radio technologies for TVWS

Adaptive Cognitive Enhanced Platform for WBAN

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

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