TY - GEN
T1 - Stochastic dynamic channel models for millimeter cellular systems
AU - Eliasi, Parisa A.
AU - Rangan, Sundeep
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under Grants No. 1116589 and 1237821 as well as generous support from Samsung, Nokia, Intel, Qualcomm and InterDigital Communications.
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - The millimeter wave (mmWave) frequencies offer the potential for enormous capacity cellular systems. However, a key challenge in designing robust communication systems in these frequencies is channel intermittency: mmWave signals are extremely vulnerable to blocking and the channel can rapidly appear and disappear with small movement of obstacles and reflectors. This paper presents a novel statistical model that can capture the dynamics of mmWave channels as a two-dimensional arrival process. The parameters in the model can be easily fit via maximum entropy estimation and preliminary results on fitting these models to commercial ray tracing data are presented.
AB - The millimeter wave (mmWave) frequencies offer the potential for enormous capacity cellular systems. However, a key challenge in designing robust communication systems in these frequencies is channel intermittency: mmWave signals are extremely vulnerable to blocking and the channel can rapidly appear and disappear with small movement of obstacles and reflectors. This paper presents a novel statistical model that can capture the dynamics of mmWave channels as a two-dimensional arrival process. The parameters in the model can be easily fit via maximum entropy estimation and preliminary results on fitting these models to commercial ray tracing data are presented.
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U2 - 10.1109/CAMSAP.2015.7383773
DO - 10.1109/CAMSAP.2015.7383773
M3 - Conference contribution
AN - SCOPUS:84963812168
T3 - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
SP - 209
EP - 212
BT - 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Y2 - 13 December 2015 through 16 December 2015
ER -