WLC11-2: Propagation Channel Characteristics for Peer-to-Peer Multiple Antenna Systems at 300 MHz

Eriksson, Gunnar; Tufvesson, Fredrik; Molisch, Andreas F.

doi:10.1109/glocom.2006.675

Cited by 8 publications

(9 citation statements)

References 16 publications

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“…Furthermore, [12] reports wideband measurements at 400 MHz, and [13] demonstrated the feasibility of wideband, spectrally efficient MIMO peer-to-peer communications at 456, 904, and 2177 MHz. Moreover, double-directional channel measurements at 300 MHz, in a semi-rural and suburban environment, is presented in [14].…”

Section: Introductionmentioning

confidence: 99%

Urban peer-to-peer MIMO channel measurements and analysis at 300 MHz

Eriksson

Linder

Wiklundh

et al. 2008

MILCOM 2008 - 2008 IEEE Military Communications Conference

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Multiple-input multiple-output (MIMO)systems operating at frequencies in the upper VHF and lower UHF region is attractive for peer-to-peer communication applications where robustness is of high importance, e.g., in tactile networks and emergency response systems. When designing and evaluating such systems, knowledge of realistic propagation conditions is required. This paper presents results from an uran MIMO measurement campaign at 300 MHz. Measurements are performed along 25 receiver routes and for three fixed transmitter locations, using antenna arrays mounted on two cars. Channel characteristics and ergodic capacity for the 7X7 MIMO channels are extracted from the measured data. A path-loss model is derived for the measured scenario, and the distributions of the large-scale fading, the Ricean K-factor, the delay spread, and the ergodic capacity are studied in deatail. The correlation distance for the different channel parameters is also examined. Furthermore, the analysis reveals that several of the channel parameters are correlated, and also have a strong correlation with the capacity. MILCOM 2008This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Abstract-Multiple-input multiple-output (MIMO) systems operating at frequencies in the upper VHF and lower UHF region is attractive for peer-to-peer communication applications where robustness is of high importance, e.g., in tactical networks and emergency response systems. When designing and evaluating such systems, knowledge of realistic propagation conditions is required. This paper presents results from an urban MIMO measurement campaign at 300 MHz. Measurements are performed along 25 receiver routes and for three fixed transmitter locations, using antenna arrays mounted on two cars. Channel characteristics and ergodic capacity for the 7×7 MIMO channels are extracted from the measured data. A path-loss model is derived for the measured scenario, and the distributions of the large-scale fading, the Ricean K-factor, the delay spread, and the ergodic capacity are studied in detail. The correlation distance for the different channel parameters is also examined. Furthermore, the analysis reveals that several of the channel parameters are correlated, and also have a strong correlation with the capacity.

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Section: Introductionmentioning

confidence: 99%

Urban peer-to-peer MIMO channel measurements and analysis at 300 MHz

Eriksson

Linder

Wiklundh

et al. 2008

MILCOM 2008 - 2008 IEEE Military Communications Conference

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“…We can see in general, the NLOS scenarios show more intersections with physical scatters compared to the LOS scenarios. Clearly in this peer to peer scenario [10], the objects around the TX and RX are the most important scatterers.…”

Section: Ray Launching Resultsmentioning

confidence: 99%

“…By using the parameters set in Table I and the measurement results in [10], ray launching results are analyzed and studied in this section.…”

Section: Ray Launching Resultsmentioning

confidence: 99%

“…Those are given in the initialization window and the ray launching parameters can be changed according to user requirements. The parameters are listed in Table I, the chosen values are set according to our analysis of measurements in [10], which are also used for the further analysis in next section. From the parameters, we can see the cone around the launched ray in azimuth direction is formed by 8 rays with 2.0 degree difference, so in total the width of launched cone is 14.0 degrees.…”

Section: Development Platform and Parameters Setupmentioning

confidence: 99%

See 1 more Smart Citation

Measurement based ray launching for analysis of outdoor propagation

Zhu

Singh

Tufvesson

2012

2012 6th European Conference on Antennas and Propagation (EUCAP)

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Clustering is a key concept of existing MIMO channel models, such as the COST 2100 model. Parameter based clustering has been studied for a while, but how parameter based clusters relate to the physical environment is not well known yet. A measurement based ray launching tool is developed and used for studying clustering and its relation to physical scatterers. By using estimated angles and delays of multi-path components as input to the ray launching tool, the physical scatterers along the propagation paths are visualized. After the physical scatterers are grouped, we notice that when the receiver moves, some physical scatterers continue to contribute to the channel response while others disappear and sometimes also later re-appear as represented by the cluster life time and common clusters in the COST 2100 model. Our measurement based ray launching tool shows significant advantages for further channel analysis and modeling.

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“…The measurements were performed outdoors on the campus of Linköping University, Sweden using the RUSK Lund MIMO channel sounder [7], [8]; the measurement principle is described in [9], [10]. Identical antenna arrays were used for both the transmitter and the receiver.…”

Section: Measurement Campaignmentioning

confidence: 99%

The COST 2100 Channel Model: Parameterization and Validation Based on Outdoor MIMO Measurements at 300 MHz

Zhu

Eriksson

Tufvesson

2013

IEEE Trans. Wireless Commun.

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The COST 2100 channel model is a geometry-based stochastic channel model (GSCM) for multiple-input multipleoutput (MIMO) simulations. This paper presents parameterization and validation of the channel model for peer-to-peer communication in the 300 MHz band. Measurements were carried out in outdoor environments for both line-of-sight (LOS) and non line-of-sight (NLOS) scenarios. The COST 2100 channel model is characterized and parameterized based on clusters. The KpowerMeans algorithm and a Kalman filter are used for identifying and tracking clusters from measurements. General issues regarding the parameterization of the channel model are analyzed in detail. A full set of single-link parameters for the channel model is extracted from the measurements. These parameters are used as the input to the channel model validation processes, targeting delay spread, spatial correlation, and singular value distribution as well as antenna correlation. The validation results show good agreement for the spatial correlation and singular value distribution between the channel model simulations and the 300 MHz outdoor measurements. Our findings suggest that the model has potential for modeling 300 MHz channels in outdoor environments, although some modifications are needed for the distribution of cluster delay spreads and the size of cluster visibility regions.

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WLC11-2: Propagation Channel Characteristics for Peer-to-Peer Multiple Antenna Systems at 300 MHz

Cited by 8 publications

References 16 publications

Urban peer-to-peer MIMO channel measurements and analysis at 300 MHz

Urban peer-to-peer MIMO channel measurements and analysis at 300 MHz

Measurement based ray launching for analysis of outdoor propagation

The COST 2100 Channel Model: Parameterization and Validation Based on Outdoor MIMO Measurements at 300 MHz

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