MIMO Signal Processing Techniques

This course covers the in-depth study of MIMO (Multiple Input Multiple Output) signal processing. It begins with the introduction of the classical IID channel, spatial fading correlation, and the impact of correlated channel coefficients. The course further explains the concept of general diversity and its use to maximize the received signal-to-noise ratio (SNR). It also discusses the Average probability of error and the receive diversity concept. The course then delves into the diversity mechanism, diversity gain, coding gain, and the Alamouti scheme. It also explores the Dominant Eigen Mode and the role of feedback in modern communication systems. The course then introduces the signal correlation model, the concept of capacity in MIMO, and the impact of correlation on error probability. It concludes with the concept of Channel unknown to the transmitter. The final part of the course discusses the requirements and evolution of different standards, mechanisms to meet new requirements, and the propagation characteristics. It also covers the concept of Massive MIMO and hybrid beamforming, which combines analog and digital beamforming.