EE 642 MIMO Wireless Communications: Fundamentals and Advances

Introduction to the course: Course details

Syllabus:

Introduction:  Diversity-multiplexing trade-off, transmit diversity schemes, advantages and applications of MIMO systems

Analytical MIMO channel models: Uncorrelated, fully correlated, separately correlated and keyhole MIMO fading models, parallel decomposition of MIMO channel

Power allocation in MIMO systems: Uniform, adaptive and near optimal power allocation

MIMO channel capacity: Capacity for deterministic and random MIMO channels, Capacity of i.i.d., separately correlated and keyhole Rayleigh fading MIMO channels

Space-Time codes: Advantages, code design criteria, Alamouti space-time codes, SER analysis of Alamouti space-time code over fading channels, Space-time block codes, Space-time trellis codes, Performance analysis of Space-time codes over separately correlated MIMO channel, Space-time turbo codes

MIMO detection: ML, ZF, MMSE, ZF-SIC, MMSE-SIC, LR based detection

Advances in MIMO wireless communications: Spatial modulation, MIMO based cooperative communication and cognitive radio, multiuser MIMO, cognitive-femtocells and large MIMO systems for 5G wireless

Lecture slides: MWC Part I MWC Part II MWC Part III MWC Part IV MWC Part V

 

Textbook:

R. S. Kshetrimayum, Fundamentals of MIMO Wireless Communications, Cambridge University Press, 2017. {Errata}

References:

A. Chokhalingam and B. S. Rajan, Large MIMO systems, Cambridge University Press, 2014.

B. Kumbhani and R. S. Kshetrimayum, MIMO Wireless Communications over Generalized Fading Channels, CRC Press, 2017

T. L. Marzetta, E. G. Larsson, H. Yang and H. Q. Ngo, Fundamentals of Massive MIMO, Cambridge University Press, 2016.