TU1.SC4.5
DEEP UNFOLDING-BASED CHANNEL ESTIMATION AND SOFT SYMBOL DECODING WITH LOW-RESOLUTION ADCS
Sahil Katyal, Sameera Bharadwaja Hayavadana, Chandra R. Murthy, Indian Institute of Science, India
Session:
TU1.SC4: Low-Resolution Signal Processing for Communication and Sensor Networks Lecture
Track:
Special Sessions
Location:
Saint Clair 4
Presentation Time:
Tue, 27 Aug, 12:20 - 12:40 France Time (UTC +1)
Session Co-Chairs:
Geethu Joseph, Delft University of Technology and Nitin Myers, Delft University of Technology and Venkata S.S. Gandikota, Syracuse University, New York, USA
Presentation
Discussion
Resources
No resources available.
Session TU1.SC4
TU1.SC4.1: Channel-Aware Direct Localization Using One-Bit Quantized Measurements
Guoxin Zhang, Yunfei Liang, Wei Yi, University of Electronic Science and Technology of China, China; Hien-Quoc Ngo, Michail Matthaiou, Queen's University Belfast, United Kingdom; Pramod Varshney, Syracuse University, United States
TU1.SC4.2: Harmony Search-Based Quantization Bit Allocation on Cell-Free Massive MIMO Systems
Minje Kim, Korea Advanced Institute of Science and Technology, Korea (South); In-soo Kim, Qualcomm Technologies Inc., United States; Junil Choi, Korea Advanced Institute of Science and Technology, Korea (South)
TU1.SC4.3: Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
Victor Sechaud, CNRS, ENS de Lyon, France; Laurent Jacques, UCLouvain, France; Patrice Abry, Julián Tachella, CNRS, ENS de Lyon, France
TU1.SC4.4: Maximizing Energy and Spectral Efficiency Tradeoff in MIMO-RSMA Systems under Coarse Quantization
Seokjun Park, Jiwon Sung, Jinseok Choi, Korea Advanced Institute of Science and Technology (KAIST), Korea (South); Jeonghun Park, Yonsei University, Korea (South); Wonjae Shin, Korea University, Korea (South)
TU1.SC4.5: DEEP UNFOLDING-BASED CHANNEL ESTIMATION AND SOFT SYMBOL DECODING WITH LOW-RESOLUTION ADCS
Sahil Katyal, Sameera Bharadwaja Hayavadana, Chandra R. Murthy, Indian Institute of Science, India
TU1.SC4.6: ED-FreEst: Event-Driven Frequency Estimation
Ruiming Guo, Ayush Bhandari, Imperial College London, United Kingdom