Engineering
Massive MIMO
100%
Output System
69%
Channel State Information
57%
Multiple-Input Multiple-Output
52%
Transceiver
35%
Antenna
32%
Multiuser
27%
Intelligent Reflecting Surface
24%
Free Cell
21%
Basestation
21%
Channel Estimation
21%
Spectral Efficiency
20%
Phase Noise
19%
Closed Form Expression
19%
Input Multiple
19%
Beamforming
18%
Fading Channel
18%
Closed Form
17%
Phase Shift
17%
Single Output
16%
Degree of Freedom
16%
Relay System
15%
Metasurface
15%
Wireless Communication
14%
Achievable Rate
13%
Joints (Structural Components)
12%
Mean Square Error
12%
Access Point
12%
Fading Distribution
12%
Interference Channel
12%
Millimeter Wave
12%
Full-Duplex
12%
Crossing Rate
11%
Communication System
10%
Probability Density Function
9%
Signal-to-Noise Ratio
9%
Multiple Antenna
9%
Analytical Result
9%
Performance Analysis
9%
Spatially Correlated Channel
9%
Channel Capacity
9%
Scaling Law
8%
Stochastic Geometry
8%
Energy Engineering
7%
Cooperative
7%
Cellular Network
7%
Signal-to-Interference-Plus-Noise Ratio
7%
Spatial Correlation
7%
Ergodic Capacity
7%
Energy Efficiency
7%
Keyphrases
Massive multiple-input multiple-output (mMIMO)
98%
Reconfigurable Intelligent Surface
31%
Transceiver Hardware Impairments
30%
Channel Aging
29%
Hardware Impairments
29%
Intelligent Reflecting Surface
24%
Numerical Results
22%
Coverage Probability
22%
Multiple-input multiple-output System
21%
Closed-form Expression
20%
Cell-free Massive MIMO
18%
Sum Rate
18%
Channel State Information at the Transmitter
17%
Multiple-input multiple-output
17%
Millimeter Wave
17%
Phase Noise
17%
Monte Carlo Simulation
16%
Ergodic Capacity
16%
Base Station
16%
Channel Estimation
16%
Fading Distribution
15%
Massive MIMO Systems
15%
Rate Splitting
15%
Uplink
15%
Rayleigh
15%
Minimum Mean Square Error
14%
Degrees of Freedom
13%
Deterministic Equivalent
13%
Statistical Channel State Information (S-CSI)
12%
Delayed Channel State Information
12%
Simultaneous Transmission
12%
Relay System
11%
Achievable Rate
11%
Imperfect Channel State Information
11%
Output Network
11%
Transceiver Impairments
10%
Nakagami-m
10%
Wireless Communication
10%
Interference Channel
10%
User Mobility
9%
Outperformance
9%
Large number of Antennas
9%
Performance Analysis
9%
Stacked Intelligent Metasurface
9%
Channel Prediction
9%
General Channel
9%
Multi-pair
9%
Generalized Fading Channels
9%
Uplink Performance
9%
Hybrid Precoding
9%
Computer Science
MIMO Systems
84%
Computer Hardware
49%
Massive MIMO
41%
Channel State Information
31%
sum rate
24%
Channel Estimation
21%
Spectral Efficiency
19%
Radiology Information System
18%
Reflecting Surface
18%
Wireless Communication
18%
closed-form expression
17%
Monte Carlo Simulation
15%
multiple-input-multiple-output
15%
Achievable Rate
13%
Fading Channel
12%
Full Duplex
12%
Heterogeneous Network
11%
Multiple Antenna
10%
Noise-to-Signal Ratio
9%
precoding
9%
Federated Learning
8%
amplify-and-forward
7%
Channel Capacity
6%
Energy Efficiency
6%
Systems Performance
6%
Cellular Network
6%
Access Point
6%
Probability Density Function
5%
Wireless System
5%
