Massive MIMO with Imperfect Channel Covariance Information

December 13, 2016 Β· Declared Dead Β· πŸ› 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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