Site-specific MIMO channel optimization using adaptive in polarization

We investigate the channel capacity improvement using adaptive polarization for a site-specific (4,4) Multiple-Input Multiple-Output (MIMO) system in a corridor. The physical arrays are linear equally spaced lambda/2-dipoles (lambda/2 separated, vertically polarized at the static end and dually-polarized at the adaptive moving end). A switching network at the moving end makes several polarization combinations and, accordingly, can adaptively enhance the channel capacity. We consider a rank-deficient scenario (array axis parallel to the corridor length at both ends) assuming a arrow-band time-invariant frequency-flat reciprocal channel, which is deterministically predicted through Image Ray Tracing (IRT) simulations at 2.4 GHz.