Clustering-NN-Based CFO Estimation Using Random Access Preambles for 5G Non-Terrestrial Networks

Keyphrases

• 5G NR 33%
• Accurate Estimation 33%
• Carrier Frequency Offset 33%
• Carrier Frequency Offset Estimation 100%
• Channel Variation 33%
• Dynamic Characteristics 33%
• Estimation Scheme 33%
• Fast Prediction 33%
• High Dynamic 33%
• Input Samples 33%
• Network Scenarios 33%
• Neural Network 33%
• New Radio 33%
• Non-terrestrial Networks 100%
• Performance Estimation 33%
• Precise Prediction 33%
• Random Access Preamble 100%
• Sparsity 33%
• Stable Estimation 33%
• Time Uncertainty 33%
• Uplink Synchronization 33%
• Wireless 33%

Engineering

• Carrier Frequency 100%
• Channel Variation 33%
• Enabled Radio 33%
• Estimation Scheme 33%
• Input Sample 33%
• Pivotal Role 33%
• Random Access 100%
• Simulation Result 33%
• Sparsity 33%
• Terrestrial Network 100%

Computer Science

• carrier frequency offset 33%
• carrier frequency offset estimation 100%
• Estimation Performance 33%
• Estimation Scheme 33%
• Network Scenario 33%
• Neural Network 33%
• Random Access 100%
• Sparsity 33%
• Terrestrial Network 100%
• Uplink Synchronization 33%