First- and second-order characterization of direction dispersion and space selectivity in the radio channel

Fleury, Bernard Henri

doi:10.1109/18.868476

Cited by 244 publications

(151 citation statements)

References 17 publications

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“…7. The angular spread calculated in this way varies between 0 and 1, with 0 indicating that the multipaths arrive (or depart) in a single direction whereas 1 indicates that there is no preference in the directions of departure (or arrival) of the multipaths [4], [24], [25]. From our measurements, the departure (resp.…”

Section: Angular Spreadmentioning

confidence: 95%

“…It shows the extent of the space selectivity, and hence is related to the space correlation in multiple antennas systems. Further practical uses of the angular spread in communications systems can be found in [3], [4], [24]. Note that we only consider the azimuth plane, and let Φ k be the arrival (or departure) azimuth angle of the k th multipath.…”

Section: Angular Spreadmentioning

confidence: 99%

“…Note that we only consider the azimuth plane, and let Φ k be the arrival (or departure) azimuth angle of the k th multipath. The angular spread is defined as follows [24].…”

Section: Angular Spreadmentioning

confidence: 99%

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E-band millimeter wave indoor channel characterization

Bamba

Mani

D’Errico

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-This paper presents the channel characterization of indoor environments in the E-Band (80.5-86.5 GHz). Measurements were performed by means of mechanical steering of directive antennas at both the transmitter and receiver side, allowing a double-directional angular characterization. Specular components have been estimated by means of a detection algorithm. Characterization of the path loss, delay spread, Angle-ofDeparture and Angle-of-Arrival spreads are presented for two indoor environments.

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Section: Angular Spreadmentioning

confidence: 95%

Section: Angular Spreadmentioning

confidence: 99%

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E-band millimeter wave indoor channel characterization

Bamba

Mani

D’Errico

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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“…= R aL (0). In this particular case, σφ expressed in radian provides a close approximation of the direction spread of the SDS [4]. We refer to σφ as the AS in the sequel.…”

Section: Signal Modelmentioning

confidence: 99%

“…In both cases, the received signal contributed by each of these scatterers or clusters of local scatterers can be conceived as the sum of the contributions of multiple subscatterers with slightly different azimuths of arrival (AoAs) where only horizontal propagation is considered. We refer to such scatterers or clusters of local scatterers as slightly distributed scatterers (SDSs) [2], [3] and [4]. The signal contribution of an SDS can be described by the nominal AoA (NAoA) and the azimuth spread (AS) of the SDS.…”

Section: Introductionmentioning

confidence: 99%

Azimuth Spread Estimation for Slightly Distributed Scatterers Using the Generalized Array Manifold Model

Yin

Fleury

Pedersen

et al.

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications

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Document VersionPublisher's PDF, also known as Version of record Link to publication from Aalborg University Citation for published version (APA):Yin, X., Fleury, B. H., Pedersen, T., & Nuutinen, J-P. (2005). Azimuth spread estimation for slightly distributed scatterers using the generalized array manifold model. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005 (pp. 604) General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim.

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Angular and RMS delay spread modeling in view of THz indoor communication systems

2014

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Future wireless communication systems will most likely be operated at carrier frequencies above 300 GHz, where the indoor radio channel behaves entirely differently compared to legacy radio communication frequencies. Being highly relevant for system performance evaluations and channel modeling, the spatial as well as the temporal dispersions are studied for a representative office wireless LAN scenario in this paper. Ray tracing serves as the means for the accurate simulation of the THz radio wave propagation. Simple stochastic models are derived to approximate and reproduce the distance-dependent behavior of the angular spread as well as of the RMS delay spread. Based on the results, the maximum symbol rates achievable without any intersymbol interference are quantified and can be shown to reach up to several 100 GSymbols/s provided that highly directive antennas are used.

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First- and second-order characterization of direction dispersion and space selectivity in the radio channel

Cited by 244 publications

References 17 publications

E-band millimeter wave indoor channel characterization

E-band millimeter wave indoor channel characterization

Azimuth Spread Estimation for Slightly Distributed Scatterers Using the Generalized Array Manifold Model

Angular and RMS delay spread modeling in view of THz indoor communication systems

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