Utilization of Location Information in Cognitive Wireless Networks

Celebi, Hasari; Arslan, Hüseyin

doi:10.1109/mwc.2007.4300977

Cited by 113 publications

(77 citation statements)

References 8 publications

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“…Furthermore, the network is aware of the position of each CR terminal. This location awareness is a precondition for modeling of spatial dependencies and currently under investigation by numerous researchers [4,5].…”

Section: Ia Scenariomentioning

confidence: 99%

“…from an infinite number of possibilities. Without a-priori information this is infeasible -a communication space model relying on measurements only is bound to be nonparametric 5 .…”

Section: Iiib Parametric Versus Nonparametric Modelingmentioning

confidence: 99%

“…Hence, we are interested in modeling deterministic spatial variations due to path loss, spatial statistical 5 Even if a direct parametric modeling approach seems infeasible, it is possible to infer information about locations and number of transmitters and transmission characteristics in a second step. A parametric representation of the cause of the communication space state can be built on top of the non-parametric effect model: this of interest when monitoring unsolicited interference.…”

Section: Iiic Choosing Effects To Modelmentioning

confidence: 99%

“…It has implications for privacy and security and offers new usercentric applications. An recent overview article about the potentials of location awareness is given by Celebi and Arslan [5]. 12 To the best of the author's knowledge, a comprehensive statistical description of the wireless channel, which includes temporal and spatial effects, is still missing.…”

Section: Research Issuesmentioning

confidence: 99%

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Centralized modeling of the communication space for spectral awareness in cognitive radio networks

Elsner

Koerner

Jondral

2009

SIGMOBILE Mob. Comput. Commun. Rev.

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The communication space is five dimensional: its degrees of freedom are frequency, time and space. The use of the electromagnetic spectrum depends on these parameters. With future applications such as opportunistic overlay access or distributed spectrum monitoring in mind, it is important to estimate the state of the communication space on the basis of incomplete or imprecise information. A promising approach are technology centric Cognitive Radio networks. In these networks, nodes cooperate to infer information on spectral occupancy. This conceptual paper proposes a novel approach for centralized modeling of the communication space with emphasis on spatial dependencies through the use of a regression model. The modeling approach is verified with practical measurements.

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Section: Ia Scenariomentioning

confidence: 99%

“…from an infinite number of possibilities. Without a-priori information this is infeasible -a communication space model relying on measurements only is bound to be nonparametric 5 .…”

Section: Iiib Parametric Versus Nonparametric Modelingmentioning

confidence: 99%

Section: Iiic Choosing Effects To Modelmentioning

confidence: 99%

Section: Research Issuesmentioning

confidence: 99%

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Centralized modeling of the communication space for spectral awareness in cognitive radio networks

Elsner

Koerner

Jondral

2009

SIGMOBILE Mob. Comput. Commun. Rev.

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“…One of the prominent characteristics of cognitive radio is location awareness [4]- [6]. Cognitive radios with location awareness can support goal-driven autonomous location aware systems, such as location-based services (e.g., package tracking), location-assisted network optimization (e.g., dynamic spectrum management), location-assisted transceiver optimization (e.g., adaptive beamforming), and environment identification (e.g., propagation channel characterization) [4]. The main component of location awareness is to obtain accurate location information [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Fundamental limits on time delay estimation in dispersed spectrum cognitive radio systems

Gezici

Celebi

Poor

et al. 2009

IEEE Trans. Wireless Commun.

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Abstract-In this paper, fundamental limits on time delay estimation are studied for cognitive radio systems, which facilitate opportunistic use of spectral resources. First, a generic CramerRao lower bound (CRLB) expression is obtained in the case of unknown channel coefficients and carrier-frequency offsets (CFOs) for cognitive radio systems with dispersed spectrum utilization. Then, various modulation schemes are considered, and the effects of unknown channel coefficients and CFOs on the accuracy of time delay estimation are quantified. Finally, numerical studies are performed in order to verify the theoretical analysis.Index Terms-Dispersed spectrum utilization, time delay estimation, Cramer-Rao lower bound (CRLB), cognitive radio, carrier frequency offset (CFO).

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A Review on TOA Estimation Techniques and Comparison

Pourkhaatoun

Zekavat

2011

Handbook of Position Location

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Utilization of Location Information in Cognitive Wireless Networks

Cited by 113 publications

References 8 publications

Centralized modeling of the communication space for spectral awareness in cognitive radio networks

Centralized modeling of the communication space for spectral awareness in cognitive radio networks

Fundamental limits on time delay estimation in dispersed spectrum cognitive radio systems

A Review on TOA Estimation Techniques and Comparison

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