Hybrid near- and far-field THz UM-MIMO channel estimation: a sparsifying matrix learning-aided Bayesian approach

• المؤلفون الرئيسيون: Li, Yuanjian, Madhukumar, A. S.
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Terahertz communications; Ultra-massive multiple-input multiple-output systems; Channel estimation; Compressed sensing; Dictionary learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181807

Channel estimation (CE) is a critical challenge in harnessing the potential of Terahertz (THz) ultra-massive multiple-input multiple-output (UM-MIMO) systems. Sparsity-exploiting compressed sensing (CS)-aided CE (CSCE) can enhance THz UM-MIMO CE performance with affordable pilot overhead. However, t...