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Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO
Open accessAbstract
In this letter, we consider the problem of channel estimation for large intelligent metasurface (LIM) assisted massive multiple-input multiple-output (MIMO) systems. The main challenge of this problem is that the LIM integrated with a large number of low-cost metamaterial antennas can only passively reflect the incident signals by certain phase shifts, and does not have any signal processing capability. To deal with this, we introduce a general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel, and propose a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage. Simulation results illustrate that the proposed method can achieve accurate channel estimation for LIM-assisted massive MIMO systems.
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Cites
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Cited by
Wireless Communications Through Reconfigurable Intelligent Surfaces
Basar, E., Di Renzo, M., De Rosny, J., Debbah, M., Alouini, M.-S., & Zhang, R. (2019) · IEEE Access · doi:10.1109/access.2019.2935192 · Cited by 3,394
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
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Prospective Multiple Antenna Technologies for Beyond 5G
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Metadata
- Authors
- He, Z.-Q., & Yuan, X.
- Venue
- IEEE Wireless Communications Letters
- Published
- 2020-02
- Volume
- 9
- Issue
- 2
- Pages
- 210-214
- ISSN
- 2162-2337 (ISSN-L)
- 2162-2345
- OpenAlex
- W2981792785
- Cited by
- 782
- References
- 2
- FWCI
- 37.63
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- Funders
- National Basic Research Program of China (2018YFB1801105)
- National Natural Science Foundation of China (61801084)
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