Abstract
This work investigates different correlation based models useful for evaluation of outage
capacity (OC) of mobile multiple-input multiple-output (MIMO) handsets. The work is based on
a large measurement campaign in a micro-cellular setup involving two dual-band base stations, 10
different handsets in an indoor environment for different use cases and test users. Several models
are evaluated statistically, comparing the OC values estimated from the model and measurement
data, respectively, for about 2,700 measurement routes. The models are based on either estimates
of the full correlation matrices or simplifications. Among other results, it is shown that the OC can
be predicted accurately (median error typically within 2.6%) with a model assuming knowledge
only of the Tx-correlation coefficient and the mean power gain.
capacity (OC) of mobile multiple-input multiple-output (MIMO) handsets. The work is based on
a large measurement campaign in a micro-cellular setup involving two dual-band base stations, 10
different handsets in an indoor environment for different use cases and test users. Several models
are evaluated statistically, comparing the OC values estimated from the model and measurement
data, respectively, for about 2,700 measurement routes. The models are based on either estimates
of the full correlation matrices or simplifications. Among other results, it is shown that the OC can
be predicted accurately (median error typically within 2.6%) with a model assuming knowledge
only of the Tx-correlation coefficient and the mean power gain.
Originalsprog | Engelsk |
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Tidsskrift | I E T Microwaves Antennas & Propagation |
Vol/bind | 11 |
Udgave nummer | 1 |
Sider (fra-til) | 1-9 |
ISSN | 1751-8725 |
DOI | |
Status | Udgivet - 8 jan. 2017 |