Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 209-212 |
| Number of pages | 4 |
| ISBN (Print) | 9781479919635 |
| DOIs | |
| State | Published - Jan 14 2016 |
| Event | 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 - Cancun, Mexico Duration: Dec 13 2015 → Dec 16 2015 |
Other
| Other | 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 |
|---|---|
| Country | Mexico |
| City | Cancun |
| Period | 12/13/15 → 12/16/15 |
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ASJC Scopus subject areas
- Signal Processing
- Computational Mathematics
Cite this
Stochastic dynamic channel models for millimeter cellular systems. / Eliasi, Parisa A.; Rangan, Sundeep.
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 209-212 7383773.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Stochastic dynamic channel models for millimeter cellular systems
AU - Eliasi, Parisa A.
AU - Rangan, Sundeep
PY - 2016/1/14
Y1 - 2016/1/14
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.
UR - http://www.scopus.com/inward/record.url?scp=84963812168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963812168&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2015.7383773
DO - 10.1109/CAMSAP.2015.7383773
M3 - Conference contribution
AN - SCOPUS:84963812168
SN - 9781479919635
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.
ER -