Presentation Details
Efficient Beamforming Training and Channel Estimation for mmWave MIMO-OFDM Systems
ID：144
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Updated Time：2020-08-05 10:17:28 Hits：567
Oral Presentation
Start Time：2020-06-08 14:00（Asia/Shanghai）
Duration：20min
Session：S Special Session »
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Abstract
We consider the problem of channel estimation for millimeter wave
(mmWave) MIMO-OFDM systems. To efficiently probe the channel, the
transmitter forms multiple beams simultaneously and steer them
towards different directions. The objective of this paper is to
devise the beam-training patterns and develop an efficient
algorithm to estimate the channel. By exploiting the common
sparsity inherent in MIMO-OFDM mmWave channels, we develop a
sparse bipartite graph coding-based method for joint beamforming
training and channel estimation. Simulation results are provided
to show the effectiveness of the proposed method.
Keywords
MmWave communications; beamforming training; channel estimation
Speaker
Hanyu Wang
University of Electronic Science and Technology of China, ChinaSubmission Author
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Important Date
-
Conference Date
Jun 08
2020
toJun 11
2020
-
Jan 12 2020
Draft paper submission deadline
-
Apr 15 2020
Early Bird Registration
-
Dec 31 2020
Registration deadline
Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
Contact Information
- Prof. Zhiguo Shi
- zj******@gmail.com
Previous Conferences
-
2024-07-08 United States Corvallis
2024 IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM) -
2018-07-08 United Kingdom
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) -
2016-07-10 Brazil Rio de Janeiro，Brazil
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop -
2014-06-22 Spain
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
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