Space-Time Processing for MIMO Communications

Description:

Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area.

Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization.

• Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation.
• Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes.    
• Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI.
• Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe.

This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.

 

Table of Contents:

List of Contributors.

Preface.

Acknowledgements.

1 MIMO Wireless Channel Modeling and Experimental Characterization (Michael A. Jensen and Jon W. Wallace).

1.1 Introduction.

1.2 MIMO Channel Measurement.

1.3 MIMO Channel Models.

1.4 The Impact of Antennas on MIMO Performance.

References.

2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding (Xiangqian Liu, Nikos D. Sidiropoulos, and Tao Jiang).

2.1 Introduction.

2.2 Harmonic Retrieval Data Model.

2.3 Identifiability of Multidimensional Harmonic Retrieval.

2.4 Multidimensional Harmonic Retrieval Algorithms.

2.5 Numerical Examples.

2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation.

2.7 Concluding Remarks.

References.

3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems (Ming Kang, Lin Yang, and Mohamed-Slim Alouini).

3.1 Introduction.

3.2 Performance Measures of Multiple Antenna Systems.

3.3 SomeMathematical Preliminaries.

3.4 General Calculations with MIMO Applications.

3.5 Summary.

References.

4 Recent Advances in Orthogonal Space-Time Block Coding (Mohammad Gharavi-Alkhansari, Alex B. Gershman, and Shahram Shahbazpanahi).

4.1 Introduction.

4.2 Notations and Acronyms.

4.3 Mathematical Preliminaries.

4.4 MIMO System Model and OSTBC Background.8

4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMO Model.

4.6 Coherent ML Decoding.

4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder.

4.8 Optimality Properties of OSTBCs.

4.9 Blind Decoding of OSTBCs.

4.10 Multiaccess MIMO Receivers for OSTBCs.

4.11 Conclusions.

References.

5 Trace-Orthogonal Full Diversity Cyclotomic Space-Time Codes (Jian-Kang Zhang, Jing Liu, and Kon Max Wong).

5.1 Introduction.

5.2 Channel Model with Linear Dispersion Codes.

5.3 Good Structures for LD Codes: Trace Orthogonality.

5.4 Trace-orthogonal LD Codes.

5.5 Construction of Trace Orthogonal LD Codes.

5.6 Design of Full Diversity LD Codes.

5.7 Design of Full Diversity Linear Space-time Block Codes for N .

5.8 Design Examples and Simulations.

5.9 Conclusion.

References.

6 Linear and Dirty-Paper Techniques for the Multiuser MIMO Downlink (Christian B. Peel, Quentin H. Spencer, A. Lee Swindlehurst, Martin Haardt, and Bertrand M. Hochwald).

6.1 Introduction.

6.2 Background and Notation.

6.3 Single Antenna Receivers.

6.4 Multiple Antenna Receivers.

6.5 Open Problems.

6.6 Summary.

References.

7 Antenna Subset Selection in MIMO Communication Systems (Alexei Gorokhov, Dhananjay A. Gore, and Arogyaswami J. Paulraj).

7.1 Introduction.

7.2 SIMO/MISO Selection.

7.3 MIMO Selection.

7.4 Diversity and Multiplexing with MIMO Antenna Selection.

7.5 Receive Antenna Selection Algorithms.

7.6 Antenna Selection in MIMO Wireless LAN Systems.

7.7 Summary.

References.

8 Convex Optimization Theory Applied to Joint Transmitter-Receiver Design in MIMO Channels (Daniel P´erez Palomar, Antonio Pascual-Iserte, John M. Cioffi, and Miguel Angel Lagunas).

8.1 Introduction.

8.2 Convex Optimization Theory.

8.3 SystemModel and Preliminaries.

8.4 Beamforming Design for MIMO Channels: A Convex Optimization Approach.

8.5 An Application to Robust Transmitter Design in MIMO Channels.

8.6 Summary.

References.

9 MIMO Communications with Partial Channel State Information (Shengli Zhou and Georgios B. Giannakis).

9.1 Introduction.

9.2 Partial CSI Models.

9.3 Capacity-Optimal Designs.

9.4 Error Performance Oriented Designs.

9.5 Adaptive Modulation with Partial CSI.

9.6 Conclusions.

Appendix.

References.

Index.

描述：
受到提升無線系統服務品質接近有線系統的渴望驅使，多輸入多輸出（MIMO）無線通信的空時處理近年來引起了顯著的關注。令人興奮的理論進展得到了研究成果迅速轉化為產業產品和服務的補充，從而創造了一個充滿活力的新領域。

空時處理是一個廣泛的領域，部分原因是信息理論、通信和信號處理研究的融合導致了它的實現。本書介紹了MIMO通信的空時處理，包括新興趨勢的亮點，如空間多路復用和聯合收發器優化。

- 詳細介紹了無線信道聲音、建模、特徵化和模型驗證。
- 提供了關於空時編碼的最新研究成果，包括對正交空時塊碼的全面教程。
- 討論了空間多路復用、發射波束成形、預編碼和使用完整或部分CSI的多用戶MIMO下行聯合收發器設計的重要最新發展。
- 通過來自全球尖端研究的眾多實例來說明所有理論。

這本寶貴的資源將吸引參與MIMO通信的空時處理設計和實施的工程師、開發人員和顧問。其易於理解的格式，並且有大量實際案例研究，為從事該領域研究的碩士研究生和研究人員提供了相關的詳細建議。

目錄：
- 貢獻者名單
- 前言
- 致謝
- 第1章 MIMO無線信道建模和實驗特性（Michael A. Jensen和Jon W. Wallace）
- 第2章 多維諧波檢索及其在MIMO無線信道聲音中的應用（Xiangqian Liu、Nikos D. Sidiropoulos和Tao Jiang）