Massive MIMO with Imperfect Channel Covariance Information
December 13, 2016 Β· Declared Dead Β· π Asilomar Conference on Signals, Systems and Computers
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Authors
Emil BjΓΆrnson, Luca Sanguinetti, Merouane Debbah
arXiv ID
1612.04128
Category
cs.IT: Information Theory
Citations
109
Venue
Asilomar Conference on Signals, Systems and Computers
Last Checked
4 months ago
Abstract
This work investigates the impact of imperfect statistical information in the uplink of massive MIMO systems. In particular, we first show why covariance information is needed and then propose two schemes for covariance matrix estimation. A lower bound on the spectral efficiency (SE) of any combining scheme is derived, under imperfect covariance knowledge, and a closed-form expression is computed for maximum-ratio combin- ing. We show that having covariance information is not critical, but that it is relatively easy to acquire it and to achieve SE close to the ideal case of having perfect statistical information.
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