Unified IRS-Aided MIMO Transceiver Designs via Majorization Theory

Computer Science

• MIMO 100%
• multiple-input-multiple-output 100%
• precoding 100%
• Mathematical Optimization 66%
• Data Stream 66%
• Power Constraint 66%
• Computational Complexity 33%
• Mutual Information 33%
• Unified Framework 33%
• Performance Criterion 33%
• multiple input multiple output system 33%
• Approximation Technique 33%
• Convex Function 33%
• wireless link 33%
• Optimization Theory 33%
• Global Optimality 33%
• Reflection Coefficient 33%

Engineering

• Transceiver 100%
• Intelligent Reflecting Surface 100%
• Multiple-Input Multiple-Output 100%
• Subgradient 40%
• Data Stream 40%
• Power Constraint 40%
• Optimality 20%
• Mean Square Error 20%
• Computational Complexity 20%
• Maximization 20%
• Gaussians 20%
• Mutual Information 20%
• Design Result 20%
• Lagrange 20%
• Reflection Coefficient 20%
• Output System 20%
• Performance Criterion 20%
• Subproblem 20%
• Closed Form Solution 20%
• Precoders 20%
• Convex Function 20%
• Linear Precoding 20%

Mathematics

• Subgradient 100%
• Majorization 100%
• Gaussian Distribution 50%
• Optimality 50%
• Mean Square Error 50%
• Subproblem 50%
• Convex Function 50%
• Closed Form Solution 50%
• Reflection Coefficient 50%
• Approximation Technique 50%
• Mutual Information 50%