Explain why MIMO capacity depends critically on the channel matrix H, and describe the conditions under which MIMO fails to provide a capacity gain over SISO.
Think about your answer, then reveal below.
Model answer: MIMO capacity depends on the singular values of H. If H has rank r, only r independent spatial streams can be supported. In rich scattering (urban, indoor), H is typically full-rank with comparable singular values, yielding near-maximum capacity gain. In line-of-sight (LOS) with no scattering, H may be rank-1 regardless of antenna count — all antennas see essentially the same path, and MIMO degenerates to beamforming (array gain only, no multiplexing gain). Capacity is then similar to SISO plus a power gain from beamforming. Correlated fading (antennas too close together, or poor scattering) reduces the effective rank and diminishes MIMO's multiplexing advantage.
This is why 5G massive MIMO systems use large numbers of antennas (64-256) — even in partially correlated channels, the effective rank is large enough to serve many users simultaneously via spatial multiplexing (MU-MIMO), approaching the sum capacity of the multi-user channel.