Engineering
Multiple-Input Multiple-Output
100%
Multiuser
46%
Broadcast Channel
46%
Channel State Information
43%
Mean Square Error
32%
Channel Estimation
25%
Gaussians
25%
Simulation Result
19%
Linear Precoding
19%
Division Duplex
18%
Basestation
16%
Beamforming
16%
Precoders
16%
Input Multiple
16%
Output System
15%
Joints (Structural Components)
15%
Frequency Division
14%
Massive MIMO
13%
Computational Complexity
12%
Antenna
12%
Transceiver
12%
Covariance Matrix
12%
Relay Channel
12%
Maximization
11%
Optimisation Problem
11%
Mean-Squared-Error
11%
Interference Channel
11%
Communication System
10%
Gaussian Mixture Model
10%
Sum-Rate Maximization
9%
Single Output
9%
Signal-to-Noise Ratio
9%
Channel Knowledge
9%
Achievable Rate
8%
Rate Region
8%
Quality of Service
8%
Autoencoder
7%
Equalizers
7%
Learning System
7%
Channel Model
7%
Interference Alignment
6%
Limited Feedback
6%
Multiple Access Channel
6%
Code Book
6%
Multistage
6%
Data Stream
6%
Forward Rate
6%
Beamformer
6%
Multiple Antenna
6%
Dirty Paper Coding
6%
Keyphrases
Multiple-input multiple-output
32%
Broadcast Channel
29%
Transmitter
27%
Massive multiple-input multiple-output (mMIMO)
27%
Channel State Information
25%
Channel Estimation
21%
Base Station
18%
Minimum Mean Square Error
18%
Zero Forcing
17%
Linear Precoding
17%
Precoding
15%
Frequency Division Duplex
13%
Mean Square Error
13%
Duplex System
13%
Precoder
12%
Channel Estimator
12%
Sum-rate Maximization
12%
Computational Complexity
11%
Uplink
11%
Sum Rate
11%
Gaussian Mixture Model
11%
Wiener Filter
10%
Tomlinson-Harashima Precoding
10%
Neural Network
10%
MIMO Broadcast Channel
10%
Optimization Problem
10%
Relay Channel
9%
Improper Signals
9%
Multiple-input multiple-output System
9%
Multi-user
9%
Numerical Simulation
9%
Multiple-input multiple-output Relay
9%
Linear Transceivers
9%
Time-sharing
9%
Covariance Matrix
8%
Receive Filter
8%
Vector Broadcast Channel
8%
Beamforming
8%
Transmit Filter
8%
Performance Gain
8%
MIMO Systems
8%
Transmit Power
7%
Multiple-input multiple-output Channels
7%
Partial Decode-and-forward
7%
Rate Region
7%
Reduced Rank
7%
Achievable Rate
7%
Signal-to-noise Ratio
7%
Systems-based
7%
Rate Balancing
7%
Computer Science
MIMO Systems
54%
precoding
35%
Broadcast Channel
28%
Channel State Information
21%
sum rate
18%
Channel Estimation
16%
Neural Network
11%
Computational Complexity
10%
channel estimate
9%
Optimization Problem
8%
Network Coding
8%
Achievable Rate
7%
Approximation (Algorithm)
7%
Division Duplex
7%
Covariance Matrix
7%
Noise-to-Signal Ratio
7%
Convolutional Neural Network
6%
multi-user MIMO
6%
Data Stream
6%
Numerical Simulation
6%
Multiple Antenna
6%
Quality of Service
6%
Machine Learning
6%
Learning System
6%
decode-and-forward
6%
Multiple Access
5%
Physical Layer
5%
Performance Gain
5%
Network Interference
5%
Wireless Communication
5%
