L. Ribeiro, M. Leinonen, H. Djelouat and M. Juntti, "Channel Charting for Pilot Reuse in mMTC with Spatially Correlated MIMO Channels," 2020 IEEE Globecom Workshops (GC Wkshps, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GCWkshps50303.2020.9367434
Channel charting for pilot reuse in mMTC with spatially correlated MIMO channels
|Author:||Ribeiro, Lucas1; Leinonen, Markus1; Djelouat, Hamza1;|
1Centre for Wireless Communications – Radio Technologies, FI-90014, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103167438
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-03-16
Massive multiple-input multiple-output (MIMO) systems and pilot reuse are essential ingredients for internet of things (IoT) networks and massive machine-type communications (mMTC). The large number of devices and the limited amount of resources (time, frequency, and power) preclude the allocation of orthogonal pilot sequences for users. We propose a pilot reuse strategy based on channel charting to deal with the pilot contamination in massive MIMO systems with spatially correlated channels. In particular, we use channel charting as a means to extract angular domain information from channel covariance matrices and assign orthogonal pilots to users with overlapping angle of arrival intervals. The simulation results show that the proposed pilot reuse method significantly improves the channel estimation performance and the symbol error rate as compared to existing schemes.
IEEE Globecom Workshops
|Pages:||1 - 6|
Proceedings of 2020 IEEE Global Communications Conference (GC Wkshps). 7-11 Dec 2020, Taipei, Taiwan
IEEE Global Communications Conference
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been financially supported in part by the Academy of Finland project ROHM (grant 319485) and Academy of Finland 6Genesis Flagship (grant 318927). The work of M. Leinonen has also been financially supported by Infotech Oulu and the Academy of Finland (grant 323698).
|Academy of Finland Grant Number:||
319485 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
323698 (Academy of Finland Funding decision)
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