EE 642 MIMO Wireless Communications: Fundamentals and Advances

 

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

 

Texts/References:

1. N. Costa and S. Haykin, Multiple-input multiple-output channel models, John Wiley & Sons, 2010.

2. T. M. Duman and A. Ghrayeb, Coding for MIMO communication systems, John Wiley and Sons, 2007.

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

4. J. Choi, Optimal Combining & Detection, Cambridge University Press, 2010.

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

 

Lecture slides:

Part I

Part II

Part III

Part IV

Part V

Solution to exercises:

Solution 1

Assignments

Problems (You may submit it on or before 10-April-2017)

Quiz of 10 marks on 13-April-2017 during class hours.