SPCN-SS2a.2
Cross-Predictive Sparse Bayesian Learning with Application to XL-MIMO Channel Estimation
Arttu Arjas, Italo Atzeni, University of Oulu, Finland
Session:
Signal Processing for XL-MIMO Systems and Applications (Part I) Lecture
Track:
20: Signal Processing for XL-MIMO Systems and Applications
Location:
Chamber Music Hall
Session Time:
Wed, 2 Sep, 10:30 - 12:30
Presentation Time:
Wed, 2 Sep, 10:50 - 11:10
Session Co-Chairs:
Italo Atzeni, University of Oulu and George C. Alexandropoulos, National and Kapodistrian University of Athens
Presentation
Discussion
Session SPCN-SS2a
SPCN-SS2a.1: Tensor-Structured Bayesian Channel Prediction for XL-MIMO Systems
Hongwei Hou, Yafei Wang, Xinping Yi, Wenjin Wang, Southeast University, China; Dirk Slock, EURECOM, France; Shi Jin, Southeast University, China
SPCN-SS2a.2: Cross-Predictive Sparse Bayesian Learning with Application to XL-MIMO Channel Estimation
Arttu Arjas, Italo Atzeni, University of Oulu, Finland
SPCN-SS2a.3: ON OPTIMAL STRATEGIES FOR JOINT RECIPROCITY CALIBRATION IN DISTRIBUTED MIMO
Kohei Ueda, The University of Electro-Communications, Japan; Anubhab Chowdhury, Linköping University, Sweden; Koji Ishibashi, The University of Electro-Communications, Japan; Erik G. Larsson, Linköping University, Sweden
SPCN-SS2a.4: Manifold Optimization-based Pilot Allocation for Cell-Free Massive MIMO ISAC Systems
Getuar Rexhepi, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu, Constructor University Bremen, Germany
SPCN-SS2a.5: DISTRIBUTED TWO-PHASE PROCESSING FOR MODULAR XL-MIMO WITH WIRELESS FRONTHAUL UNDER HARDWARE IMPAIRMENTS
Özlem Tuğfe Demir, Bilkent University, Turkey
SPCN-SS2a.6: SIMULTANEOUS NR-RIS-ASSISTED UPLINK COMMUNICATIONS AND DOWNLINK BISTATIC SENSING
Dimitrios Tzoufas, Ioannis Gavras, George C. Alexandropoulos, National and Kapodistrian University of Athens, Greece, Greece
Resources
No resources available.