Site-specific MIMO channel optimization using adaptive 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 λ/2-dipoles (λ/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 narrow-band time-invariant frequency-flat reciprocal channel, which is deterministically predicted through image ray tracing (IRT) simulations at 2.4 GHz.