Reduced-complexity mobile velocity estimation in correlated MIMO channels
by Salman A. Khan
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 8, No. 1, 2015

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.

Online publication date: Sun, 04-Jan-2015

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