通訊工程研究所(Graduate Institute of Communications Engineering)
課程名稱(英文)
Multiple Input Multiple Output Techniques for Wireless Communications
課程代碼
4305167_01
授課教師:
Wei-Cheng Liu
學分數
3
必/選修
選修
開課年級
Graduate
先修科目或先備能力:
Programming Language; Digital Communications.
課程概述:
As its name suggests, this course is intended to provide an introduction to the field of MIMO communications, and is, therefore, by design not encyclopedic. My goal has been to provide students new to MIMO communications with an understanding of the basic concepts and methods, thereby laying a foundation for further study and providing them with the ability to understand the vast literature on this subject.
學習目標:
1. Understand the overview of MIMO communications.
2. Understand the MIMO capacity formula.
3. Understand applications of the MIMO capacity formula.
4. Understand RF propagation.
5. Understand MIMO channel models.
6. Understand Alamouti coding.
7. Understand space-time coding.
8. Understand spatial multiplexing.
9. Understand broadband MIMO.
10. Understand channel estimation.
11. Understand practical MIMO examples.
教科書:
Title: Introduction to MIMO Communications
Author: Jerry R. Hampton
Publisher: Cambridge University Press
Online publication date: December 2013
Print publication year: 2013
Online ISBN: 9781107337527
Website: https://doi.org/10.1017/CBO9781107337527
課程大綱
分配時數
核心能力
備註
單元主題
內容綱要
講授
示範
隨堂作業
其他
1 Overview of MIMO communications
1.1 What is MIMO?
1.2 History of MIMO
1.3 Smart antennas vs MIMO
1.4 Single-user and multi-user MIMO
1.5 Introduction to spatial diversity
1.6 Introduction to spatial multiplexing
1.7 Open- and closed-loop MIMO
1.8 The practical use of MIMO
1.9 Review of matrices
1.11.21.32.12.23.13.24.14.24.34.4
2 The MIMO capacity formula
2.1 What is information?
2.2 Entropy
2.3 Mutual information
2.4 Definition of SISO capacity
2.5 Definition of MIMO capacity
2.6 Evaluating H(z)
2.7 Evaluating H(r)
2.8 Final result
1.11.21.32.12.23.13.24.14.24.34.4
3 Applications of the MIMO capacity formula
3.1 MIMO capacity under the CSIR assumption
3.2 Eigen-channels and channel rank
3.3 Optimum distribution of channel eigenvalues
3.4 Eigenbeamforming
3.5 Optimal allocation of power in eigenbeamforming
3.6 Single-mode eigenbeamforming
3.7 Performance comparison
3.8 Capacities of SIMO and MISO channels
3.9 Capacity of random channels
1.11.21.32.12.23.13.24.14.24.34.4
4 RF propagation
4.1 Phenomenology of multipath channels
4.2 Power law propagation
4.3 Impulse response of a multipath channel
4.4 Intrinsic multipath channel parameters
4.5 Classes of multipath channels
4.6 Statistics of small-scale fading
1.11.21.32.12.23.13.24.14.24.34.4
5 MIMO channel models
5.1 MIMO channels in LOS geometry
5.2 General channel model with correlation
5.3 Kronecker channel model
5.4 Impact of antenna correlation on MIMO capacity
5.5 Dependence of R_t and R_r on antenna spacing and scattering angle
5.6 Pinhole scattering
5.7 Line-of-sight channel model
1.11.21.32.12.23.13.24.14.24.34.4
6 Alamouti coding
6.1 Maximal ratio receive combining (MRRC)
6.2 Challenges with achieving transmit diversity
6.3 2 × 1 Alamouti coding
6.4 2 × N_r Alamouti coding
6.5 Maximum likelihood demodulation in MRRC and Alamouti receivers
6.6 Performance results