Cognitive-Radio Systems for Spectrum, Location, and Environmental Awareness

Celebi, Hasari; Güvenç, İsmail; Gezici, Sinan; Arslan, Hüseyin

doi:10.1109/map.2010.5638235

Cited by 38 publications

(21 citation statements)

References 109 publications

(182 reference statements)

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“…n [8], review of implementation of unique features of cognitive radio technology such as spectrum location and environmental awareness. Also discuss the dynamic nature of cognitive radio system along with limitations, issues and mitigation techniques.…”

Section: Survey Of Relevant Literaturementioning

confidence: 99%

Overview of Cognitive Radio Networks

Berwal¹,

Sindhu²

2017

ijarcs

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In today's era, there is rapid increase in use of wireless technologies. The main backbone of wireless technology is radio spectrum. As radio spectrum is allocated to the fixed users due to which it becomes sometimes underutilized and sometimes scarce. To efficiently use the spectrum bands, Cognitive radio (CR) technology was developed which adapts to the real-time changes in the parameters without causing any interference to other networks. Cognitive radio network helps to allocate the bands to the unlicensed users too when they are not used by the fixed (licensed) users. This paper gives an overview of the CR networks.

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Section: Survey Of Relevant Literaturementioning

confidence: 99%

Overview of Cognitive Radio Networks

Berwal¹,

Sindhu²

2017

ijarcs

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“…CR networks may be equipped location and environmental awareness features [69] to further improve the performance. A conceptual framework for the locationawareness engine has been developed in [70].…”

Section: Location Awarenessmentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

217

117

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Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

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“…Information on the position of wireless devices may help the implementation of next-generation communication systems, infrastructures and services [1,2]. The design of accurate and scalable indoor positioning systems (IPSs), aiming at extending outdoor location-based services, provided by systems such as GPSs, to indoor environments, is thus very appealing [3].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

Caso

Nardis

et al. 2018

Technologies

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Ultra-wideband (UWB) and WiFi technologies have been widely proposed for the implementation of accurate and scalable indoor positioning systems (IPSs). Among different approaches, fingerprinting appears particularly suitable for WiFi IPSs and was also proposed for UWB IPSs, in order to cope with the decrease in accuracy of time of arrival (ToA)-based lateration schemes in the case of severe multipath and non-line-of-sight (NLoS) environments. However, so far, the two technologies have been analyzed under very different assumptions, and no fair performance comparison has been carried out. This paper fills this gap by comparing UWB-and WiFi-based fingerprinting under similar settings and scenarios by computer simulations. Two different k-nearest neighbor (kNN) algorithms are considered in the comparison: a traditional fixed k algorithm, and a novel dynamic k algorithm capable of operating on fingerprints composed of multiple location-dependent features extracted from the channel impulse response (CIR), typically made available by UWB hardware. The results show that UWB and WiFi technologies lead to a similar accuracy when a traditional algorithm using a single feature is adopted; when used in combination with the proposed dynamic k algorithm operating on channel energy and delay spread, UWB outperforms WiFi, providing higher accuracy and more degrees of freedom in the design of the system architecture.

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Cognitive-Radio Systems for Spectrum, Location, and Environmental Awareness

Cited by 38 publications

References 109 publications

Overview of Cognitive Radio Networks

Overview of Cognitive Radio Networks

Ten years of research in spectrum sensing and sharing in cognitive radio

Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

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