Search: L773:2162 2337 OR L773:2162 2345 >
Learning to Estimat...
Learning to Estimate RIS-Aided mmWave Channels
-
- He, Jiguang (author)
- Oulun Yliopisto,University of Oulu
-
- Wymeersch, Henk, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Di Renzo, Marco (author)
- Université Paris-Saclay,University Paris-Saclay
-
show more...
-
- Juntti, Markku (author)
- Oulun Yliopisto,University of Oulu
-
show less...
-
(creator_code:org_t)
- 2022
- 2022
- English.
-
In: IEEE Wireless Communications Letters. - 2162-2345 .- 2162-2337. ; 11:4, s. 841-845
- Related links:
-
https://research.cha... (primary) (free)
-
show more...
-
https://doi.org/10.1...
-
https://research.cha...
-
show less...
Abstract
Subject headings
Close
- Inspired by the remarkable learning and prediction performance of deep neural networks (DNNs), we apply one special type of DNN framework, known as model-driven deep unfolding neural network, to reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) single-input multiple-output (SIMO) systems. We focus on uplink cascaded channel estimation, where known and fixed base station combining and RIS phase control matrices are considered for collecting observations. To boost the estimation performance and reduce the training overhead, the inherent channel sparsity of mmWave channels is leveraged in the deep unfolding method. It is verified that the proposed deep unfolding network architecture can outperform the least squares (LS) method with a relatively smaller training overhead and online computational complexity.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- Phase control
- Optimization
- deep neural network.
- Deep unfolding
- cascaded channel estimation
- MIMO communication
- Training
- Radio frequency
- Channel estimation
- reconfigurable intelligent surface
- Neural networks
Publication and Content Type
- art (subject category)
- ref (subject category)
Find in a library
To the university's database