Computer Science
MIMO Systems
100%
precoding
84%
Wireless Network
70%
Channel State Information
62%
Network Virtualization
58%
Service Provider
39%
Infrastructure Provider
33%
sum rate
32%
Convex Optimization
32%
Optimization Problem
29%
Access Point
28%
Performance Bound
27%
Computational Complexity
25%
Power Constraint
23%
Distributed Optimization
21%
Edge Server
21%
Resource Allocation
21%
Convergence Rate
21%
Network Resource
21%
Parsing
21%
Performance Gain
21%
Federated Learning
19%
Efficient Algorithm
19%
Communication Overhead
18%
Constraint Term
18%
Training Model
17%
Fading Environment
15%
Constraint Violation
14%
Mobile Device
14%
Communication Network
13%
Virtualization
13%
Global Channel
12%
Power Allocation
10%
Cellular Network
10%
cloud system
10%
Distributed Algorithm
10%
time-varying channel
10%
Mathematical Convergence
10%
Performance Guarantee
10%
Communication Complexity
10%
Classification Problem
10%
Antenna System
10%
task-scheduling
10%
Satellite Network
10%
Energy Efficient
10%
Learning Algorithm
9%
Regularization
9%
Fading Channel
9%
Image Classification
8%
System Heterogeneity
8%
Keyphrases
Precoding
70%
Multiple-input multiple-output
56%
Service Provider
47%
Wireless Network Virtualization
46%
Infrastructure Provider
42%
Online Convex Optimization
32%
Weighted Minimum Mean Square Error (WMMSE)
32%
Precoder
28%
Coordinated Precoding
27%
Best Alternative
26%
Sum-rate Maximization
25%
Access Point
23%
Channel State Information
22%
Precoding Design
21%
Semi-online
21%
Information Parsing
21%
Cooperative multiple Input multiple Output
21%
Network Resource Allocation
21%
Delay Tolerant
21%
Analog Aggregation
21%
Wireless Edge Learning
21%
Periodic Update
21%
Imperfect Channel State Information
21%
Sensor Array
21%
Online Optimization
21%
Base Station
19%
Regret
18%
Long-term Constraints
18%
Online Model Updating
18%
Virtualization
17%
Fading Environment
17%
Performance Gain
16%
Training Model
16%
Performance Bounds
16%
Multi-cell
16%
Massive multiple-input multiple-output (mMIMO)
16%
Output Network
15%
Global Channel State Information
14%
Wireless Networks
14%
Sensory Parameters
14%
Power Limit
14%
Dynamic Regret
14%
Convex Loss Function
14%
Transmit Power
13%
Network Virtualization
12%
Constraint Violation
12%
Transmit Power Constraint
12%
Maximization Problem
12%
Network Context
12%
Communication Overhead
12%
Engineering
Multiple-Input Multiple-Output
68%
Channel State Information
48%
Network Virtualization
43%
Service Provider
34%
Simulation Result
29%
Access Point
25%
Precoders
23%
Network Resource
21%
Regret Dynamic
21%
Loss Function
21%
Mean Square Error
21%
Sensor Array
21%
Current Measurement
21%
Constraint Term
16%
Constraint Violation
16%
Sum-Rate Maximization
14%
Magnetic Field
14%
Basestation
14%
Optimisation Problem
12%
Feedback Delay
12%
Computational Complexity
11%
Joint Transmission
10%
Earth Observation
10%
Power Allocation
10%
Electric Field
10%
Free Cell
10%
Joints (Structural Components)
10%
Cellular Network
10%
Beamforming
10%
Using Sensor
10%
Power Limit
9%
Power Constraint
9%
Central Controller
9%
Constraint Function
9%
Feedback Information
9%
Resource Allocation Problem
9%
Mild Condition
9%
Regularization
9%
Least Square Problem
9%
Closed Form
8%
Virtualization
8%
Cell Multi
6%
Distribution Line
5%
Cloud Computing
5%
Stationary Point
5%
Potential Application
5%
Parameter Estimation
5%
Instrument Calibration
5%
