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- W2086271311 abstract "This paper extends the existing class of autocorrelation function (ACF) based velocity estimation schemes, well-studied for single-antenna channels, to Multiple-Input Multiple-Output channels. The complexity of an intuitive extension approach, i.e. averaging individual velocity estimates from all MIMO sub-channels, increases exponentially with increasing MIMO antennas. This paper proposes two low-complexity schemes for the symmetric correlated MIMO channel with 'N' antennas. The first scheme, for a MIMO channel correlated on strictly either transmitter or receiver side, leads to complexity reduction by a factor of 'N/2'. The second scheme, for MIMO channels exhibiting correlation on both sides of the channel is a more intelligent velocity estimation scheme which allows reduction of complexity by a factor of 'N²/4'. In addition to the reduced complexity, velocity estimates obtained using both proposed schemes are more accurate than the intuitive extension approach. With 'massive MIMO' being envisioned as a reality in 5G, these schemes offer a low-complexity solution to estimate the important velocity parameter, eventually aiding diverse dynamic resource allocation schemes." @default.
- W2086271311 created "2016-06-24" @default.
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- W2086271311 date "2015-01-01" @default.
- W2086271311 modified "2023-09-25" @default.
- W2086271311 title "Reduced-complexity mobile velocity estimation in correlated MIMO channels" @default.
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- W2086271311 doi "https://doi.org/10.1504/ijwmc.2015.066749" @default.
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