  The novel concept of near-field velocity sensing is proposed. In contrast to
far-field velocity sensing, near-field velocity sensing enables the
simultaneous estimation of both radial and transverse velocities of a moving
target. A maximum-likelihood-based method is proposed for jointly estimating
the radial and transverse velocities from the echo signals. Assisted by
near-field velocity sensing, a predictive beamforming framework is proposed for
a moving communication user, which requires no channel estimation but achieves
seamless data transmission. Finally, numerical examples validate the proposed
approaches.
