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Fundamentals of Massive MIMO
Thomas L. Marzetta, Erik G. Larsson, Yang Hong,
Hien Quoc Ngo
School of Electronics, Electrical Engineering and Computer Science
Institute of Electronics, Communications & Information Technology
Research output
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Book/Report
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Book
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Earth and Planetary Sciences
Set
100%
Multiplexing
100%
Wireless Communication
100%
Approach
50%
Investigation
50%
Algorithms
50%
Modeling
50%
Evaluation
50%
Ability
50%
Industry
50%
Knowledge
50%
Book
50%
Communication
50%
Student
50%
Signal Processing
50%
Engineering
Massive MIMO
100%
Wireless Communication
66%
Fields
33%
Algorithm
33%
Engineering
33%
Performance
33%
Design
33%
Evaluation
33%
Communication System
33%
System Performance
33%
Power Control
33%
Assuming
33%
Cell Multi
33%
Computer Science
Massive MIMO
100%
Multiplexing
66%
Performance Evaluation
33%
Case Study
33%
Design
33%
Control
33%
Algorithms
33%
Systems Performance
33%
Communication
33%
Channel Estimation
33%
wireless communication system
33%
Statistical Signal Processing
33%
Physics
Multiple-Input Multiple-Output
100%
Performance
66%
Wireless Communication
66%
Multiplexing
66%
Algorithms
33%
Students
33%
Evaluation
33%
Knowledge
33%
Biochemistry, Genetics and Molecular Biology
Reading
100%
Interpersonal Communication
100%
Solution and Solubility
33%
Signal Processing
33%
Skill
33%