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