3,658 research outputs found
3-D Statistical Channel Model for Millimeter-Wave Outdoor Mobile Broadband Communications
This paper presents an omnidirectional spatial and temporal 3-dimensional
statistical channel model for 28 GHz dense urban non-line of sight
environments. The channel model is developed from 28 GHz ultrawideband
propagation measurements obtained with a 400 megachips per second broadband
sliding correlator channel sounder and highly directional, steerable horn
antennas in New York City. A 3GPP-like statistical channel model that is easy
to implement in software or hardware is developed from measured power delay
profiles and a synthesized method for providing absolute propagation delays
recovered from 3-D ray-tracing, as well as measured angle of departure and
angle of arrival power spectra. The extracted statistics are used to implement
a MATLAB-based statistical simulator that generates 3-D millimeter-wave
temporal and spatial channel coefficients that reproduce realistic impulse
responses of measured urban channels. The methods and model presented here can
be used for millimeter-wave system-wide simulations, and air interface design
and capacity analyses.Comment: 7 pages, 6 figures, ICC 2015 (London, UK, to appear
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective
The millimeter wave (mmWave) band will provide multi-gigabits-per-second
connectivity in the radio access of future wireless systems. The high
propagation loss in this portion of the spectrum calls for the deployment of
large antenna arrays to compensate for the loss through high directional gain,
thus introducing a spatial dimension in the channel model to accurately
represent the performance of a mmWave network. In this perspective, ray-tracing
can characterize the channel in terms of Multi Path Components (MPCs) to
provide a highly accurate model, at the price of extreme computational
complexity (e.g., for processing detailed environment information about the
propagation), which limits the scalability of the simulations. In this paper,
we present possible simplifications to improve the trade-off between accuracy
and complexity in ray-tracing simulations at mmWaves by reducing the total
number of MPCs. The effect of such simplifications is evaluated from a
full-stack perspective through end-to-end simulations, testing different
configuration parameters, propagation scenarios, and higher-layer protocol
implementations. We then provide guidelines on the optimal degree of
simplification, for which it is possible to reduce the complexity of
simulations with a minimal reduction in accuracy for different deployment
scenarios.Comment: 31 pages, 14 figures, 1 table. This paper has been submitted to IEEE
for publication. Copyright IEEE 2020. Please cite it as: Mattia Lecci, Paolo
Testolina, Michele Polese, Marco Giordani, Michele Zorzi, "Accuracy vs.
Complexity for mmWave Ray-Tracing: A Full Stack Perspective.'
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