Abstract
An analytical lower bound on uplink channel capacity of a user in a massive multiple-input multiple-output system where the channel vector and the covariance matrices of the users in that cell are unknown is derived in this paper. This analytical bound enables us to choose appropriate sample size for covariance matrix estimation to meet the spectral efficiency requirements. The accurate agreement between the derived bound and the simulated bound based on random samples of channel vectors and covariance matrices is shown.
Original language | English |
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Title of host publication | 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings |
Publisher | IEEE |
Pages | 4504-4508 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4799-8131-1 |
ISBN (Print) | 978-1-4799-8132-8 |
DOIs | |
Publication status | Published - 1 May 2019 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Acoustics, Speech, and Signal Processing - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 Conference number: 44 |
Publication series
Name | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP |
Country/Territory | United Kingdom |
City | Brighton |
Period | 12/05/2019 → 17/05/2019 |
Keywords
- Covariance matrices
- Channel estimation
- Coherence
- MIMO communication
- Spectral efficiency
- Estimation
- Channel capacity
- Achievable rate
- spectral efficiency
- Massive multiple-input multiple-output (MIMO)
- covariance estimation
- channel estimation
- pilot contamination