Introduction to MIMO Communications

This accessible guide contains everything you need to get up to speed on the theory and implementation of MIMO techniques.

Jerry R. Hampton (Author)

9781107042834, Cambridge University Press

Hardback, published 28 November 2013

300 pages, 110 b/w illus. 40 tables 55 exercises
25.3 x 17.8 x 1.9 cm, 0.74 kg

'MIMO has proven to be one of the key advances in wireless communications from the 20th century. This text by Hampton offers a self-contained overview of MIMO, appropriate for an advanced undergraduate or early graduate course, following digital signal processing or digital communications and the fundamentals of stochastic processes. The text lays out the basic ideas in a clear progression, and integrates problems and Matlab exercises. The book achieves a nice mix of theory and example, and includes a final chapter on application of MIMO in WiFi and LTE standards. Hampton has produced a text that will broadly appeal to wireless communications engineers, all of whom should be informed on this topic.' Brian M. Sadler, Army Research Laboratory

This accessible, self-contained guide contains everything you need to get up to speed on the theory and implementation of MIMO techniques. In-depth coverage of topics such as RF propagation, space-time coding, spatial multiplexing, OFDM in MIMO for broadband applications, the theoretical MIMO capacity formula and channel estimation will give you a deep understanding of how the results are obtained, while detailed descriptions of how MIMO is implemented in commercial WiFi and LTE networks will help you apply the theory to practical wireless systems. Key concepts in matrix mathematics and information theory are introduced and developed as you need them, and key results are derived step-by-step, with no details omitted. Including numerous worked examples, and end-of-chapter exercises to reinforce and solidify your understanding, this is the perfect introduction to MIMO for anyone new to the field.

1. Overview of MIMO communications
2. The MIMO capacity formula
3. Applications of the MIMO capacity formula
4. RF propagation
5. MIMO channel models
6. Alamounti coding
7. Space-time coding
8. Spatial multiplexing
9. Broadband MIMO
10. Channel estimation
11. Practical MIMO examples
Appendices: A. MIMO system equation normalization
B. Proof of Theorem 5.2
C. Derivation of Eq. 7.9
D. Maximum likelihood decoding rules for selected OSTBSs
E. Derivation of Eq. 8.68
Appendix F. Parameters for the non-unequal HT modulation and coding schemes in IEEE 802.11n
References
Index.

Subject Areas: Radio technology [TJKR], Communications engineering / telecommunications [TJK], Microwave technology [TJFN], Electronics engineering [TJF]