Random Multiplexing
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Lei, Chi, Yuhao, Huang, Shunqi, Zhang, Zhaoyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
by: Liu, Lei, et al.
Published: (2025)
by: Liu, Lei, et al.
Published: (2025)
Overflow-Avoiding Memory AMP
by: Huang, Shunqi, et al.
Published: (2024)
by: Huang, Shunqi, et al.
Published: (2024)
Interleave Frequency Division Multiplexing
by: Chi, Yuhao, et al.
Published: (2024)
by: Chi, Yuhao, et al.
Published: (2024)
The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT
by: Zhu, Xin, et al.
Published: (2024)
by: Zhu, Xin, et al.
Published: (2024)
The Local Landscape of Phase Retrieval Under Limited Samples
by: Liu, Kaizhao, et al.
Published: (2023)
by: Liu, Kaizhao, et al.
Published: (2023)
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression
by: Li, Gen, et al.
Published: (2024)
by: Li, Gen, et al.
Published: (2024)
Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
by: Yang, Dongdong, et al.
Published: (2025)
by: Yang, Dongdong, et al.
Published: (2025)
Shuffled Linear Regression via Spectral Matching
by: Liu, Hang, et al.
Published: (2024)
by: Liu, Hang, et al.
Published: (2024)
A Survey on Integrated Sensing, Communication, and Computation
by: Wen, Dingzhu, et al.
Published: (2024)
by: Wen, Dingzhu, et al.
Published: (2024)
Soft Graph Transformer for MIMO Detection
by: Hong, Jiadong, et al.
Published: (2025)
by: Hong, Jiadong, et al.
Published: (2025)
Collaborative Edge AI Inference over Cloud-RAN
by: Zhang, Pengfei, et al.
Published: (2024)
by: Zhang, Pengfei, et al.
Published: (2024)
Soft Graph Diffusion Transformer for MIMO Detection
by: Jiang, Nan, et al.
Published: (2026)
by: Jiang, Nan, et al.
Published: (2026)
DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
by: Deng, Bin, et al.
Published: (2025)
by: Deng, Bin, et al.
Published: (2025)
E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion
by: Wu, Minghui, et al.
Published: (2025)
by: Wu, Minghui, et al.
Published: (2025)
ToDMA: Large Model-Driven Token-Domain Multiple Access for Semantic Communications
by: Qiao, Li, et al.
Published: (2025)
by: Qiao, Li, et al.
Published: (2025)
Model-based Implicit Neural Representation for sub-wavelength Radio Localization
by: Chatelier, Baptiste, et al.
Published: (2025)
by: Chatelier, Baptiste, et al.
Published: (2025)
Hybrid Federated Learning for Noise-Robust Training
by: Kim, Yongjun, et al.
Published: (2026)
by: Kim, Yongjun, et al.
Published: (2026)
Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
by: Mamillapalli, Pujitha, et al.
Published: (2026)
by: Mamillapalli, Pujitha, et al.
Published: (2026)
Centimeter Positioning Accuracy using AI/ML for 6G Applications
by: Kotturi, Sai Prasanth, et al.
Published: (2024)
by: Kotturi, Sai Prasanth, et al.
Published: (2024)
A Machine Learning based Hybrid Receiver for 5G NR PRACH
by: Singh, Rohit, et al.
Published: (2024)
by: Singh, Rohit, et al.
Published: (2024)
Universal Auto-encoder Framework for MIMO CSI Feedback
by: So, Jinhyun, et al.
Published: (2024)
by: So, Jinhyun, et al.
Published: (2024)
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
by: Chatelier, Baptiste, et al.
Published: (2024)
by: Chatelier, Baptiste, et al.
Published: (2024)
Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
by: Jin, Zhenzhou, et al.
Published: (2026)
by: Jin, Zhenzhou, et al.
Published: (2026)
Enhancements for 5G NR PRACH Reception: An AI/ML Approach
by: Singh, Rohit, et al.
Published: (2024)
by: Singh, Rohit, et al.
Published: (2024)
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
by: Gümüs, Kadir, et al.
Published: (2019)
by: Gümüs, Kadir, et al.
Published: (2019)
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
by: Chatelier, Baptiste, et al.
Published: (2024)
by: Chatelier, Baptiste, et al.
Published: (2024)
AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G
by: Bian, Kejia, et al.
Published: (2026)
by: Bian, Kejia, et al.
Published: (2026)
MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction
by: Djuhera, Aladin, et al.
Published: (2026)
by: Djuhera, Aladin, et al.
Published: (2026)
Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
Quickest Change Detection with Confusing Change
by: Chen, Yu-Zhen Janice, et al.
Published: (2024)
by: Chen, Yu-Zhen Janice, et al.
Published: (2024)
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models
by: Moniri, Behrad, et al.
Published: (2024)
by: Moniri, Behrad, et al.
Published: (2024)
Binary Flow Matching: Prediction-Loss Space Alignment for Robust Learning
by: Hong, Jiadong, et al.
Published: (2026)
by: Hong, Jiadong, et al.
Published: (2026)
Two-Dimensional Quantization for Geometry-Aware Audio Coding
by: Shuster, Tal, et al.
Published: (2025)
by: Shuster, Tal, et al.
Published: (2025)
High-Dimensional Confidence Regions in Sparse MRI
by: Hoppe, Frederik, et al.
Published: (2024)
by: Hoppe, Frederik, et al.
Published: (2024)
Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach
by: Chen, Jiazheng, et al.
Published: (2025)
by: Chen, Jiazheng, et al.
Published: (2025)
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
by: Chen, Jiazheng, et al.
Published: (2023)
by: Chen, Jiazheng, et al.
Published: (2023)
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
by: Zhao, Zihuai, et al.
Published: (2022)
by: Zhao, Zihuai, et al.
Published: (2022)
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)
by: Chen, Jiazheng, et al.
Published: (2022)
Structure-Enhanced DRL for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)
by: Chen, Jiazheng, et al.
Published: (2022)
Quantized Approximately Orthogonal Recurrent Neural Networks
by: Foucault, Armand, et al.
Published: (2024)
by: Foucault, Armand, et al.
Published: (2024)
Similar Items
-
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
by: Liu, Lei, et al.
Published: (2025) -
Overflow-Avoiding Memory AMP
by: Huang, Shunqi, et al.
Published: (2024) -
Interleave Frequency Division Multiplexing
by: Chi, Yuhao, et al.
Published: (2024) -
The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT
by: Zhu, Xin, et al.
Published: (2024) -
The Local Landscape of Phase Retrieval Under Limited Samples
by: Liu, Kaizhao, et al.
Published: (2023)