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F. Ademaj, M. K. Müller, S. Schwarz, M. Rupp:
"Modeling of Spatially Correlated Geometry-Based Stochastic Channels";
Talk: IEEE 86th Vehicular Technology Conference (VTC2017-Fall), Kanada; 09-24-2017 - 09-27-2017; in: "IEEE 86th Vehicular Technology Conference VTC-Fall 2017", IEEE, Toronto (2017), 1 - 6.

Massive MIMO, 3D beamforming and beam tracking
strategies for mobile users are among the key strategies for
the 5th generation of mobile cellular networks. Their investigation
requires channel models that are spatially consistent and
evolve smoothly over time. State-of-the-art channel models, such
as, 3GPP SCM, WINNER and the 3GPP 3D channel model, do
not consider the time evolution and are relevant only for drop
based simulations. In this paper we propose two methods to
model spatially correlated channels; first, by introducing spatial
correlation to LOS/NLOS propagation and indoor/outdoor state
of a user, and second, by introducing spatial correlation to
the small scale parameters that represent short-term fading
characteristics. Our results exhibit realistic behavior of users
that move through the network, in terms of LOS/NLOS and
indoor/outdoor states and preserve the statistics of the channel
model.

Massive MIMO, 3D beamforming and beam tracking
strategies for mobile users are among the key strategies for
the 5th generation of mobile cellular networks. Their investigation
requires channel models that are spatially consistent and
evolve smoothly over time. State-of-the-art channel models, such
as, 3GPP SCM, WINNER and the 3GPP 3D channel model, do
not consider the time evolution and are relevant only for drop
based simulations. In this paper we propose two methods to
model spatially correlated channels; first, by introducing spatial
correlation to LOS/NLOS propagation and indoor/outdoor state
of a user, and second, by introducing spatial correlation to
the small scale parameters that represent short-term fading
characteristics. Our results exhibit realistic behavior of users
that move through the network, in terms of LOS/NLOS and
indoor/outdoor states and preserve the statistics of the channel
model.

spatial correlation, 3GPP 3D channel model, beam tracking, LOS/NLOS, mobility, 3D-beamforming, millimeter-wave channel model

http://ieeexplore.ieee.org/document/8287884/