19:22
Background 1: Linear Algebra and Complex Numbers
Wireless Future
18:27
Background 2: Random Variables
24:55
Background 3: Complex Baseband Model
13:01
Background 4: Information Theory and Capacity
29:26
Lecture 1: Motivation for Multiple Antenna Communications
43:28
Lecture 2: Basics of Transmit and Receive Beamforming
40:00
Lecture 3: Fading Channels and Related Capacity Concepts
47:50
Lecture 4: Capacity of Point-to-Point MIMO Channels
37:32
Lecture 5: Introduction to Multiuser MIMO
14:36
Background 5: Estimation Theory
39:35
Background 6: Channel Capacity Bounds
20:25
Background 7: Monte Carlo Methods
37:34
Lecture 6: Uplink Multiuser MIMO and Channel Acquisition
39:19
Lecture 7: Multiuser MIMO With Optimal Linear Detection
32:18
Lecture 8: Favorable Propagation and MR Processing
39:41
Lecture 9: Downlink Multiuser MIMO With Linear Processing
37:09
Lecture 9b: Zero-Forcing Processing in Uplink and Downlink
46:02
Lecture 10: Massive MIMO in Cellular Networks
40:57
Lecture 11: Power Control for Max-Min Fairness
46:22
Lecture 12: Power Control for Spectral and Energy Efficiency
22:29
Background 8: Discrete Fourier Transform
44:30
Lecture 13: 3D Array Responses and Multicarrier Channels
38:12
Lecture 14: Practical Aspects and Outlook
