arXiv Machine Learning August 4, 2026 By Vignesh Nandakumar, Faraz Barati, Brian L. Evans

Generative Models for Modeling and Synthesizing MIMO Channels in Adverse Weather Conditions

Read the original on arXiv Machine Learning →

arXiv:2608. 00156v1 Announce Type: cross Abstract: The push for broader coverage in future cellular networks depends on reliable service, yet this is increasingly harder to do as we encounter more instances of extreme weather conditions.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

diffusion

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Jul 28

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation

arXiv:2607. 22637v1 Announce Type: new Abstract: Deep learning has shown strong potential for massive multiple-input multiple-output (Massive MIMO) physical-layer tasks, including channel state information (CSI) feedback and channel estimation.

By Xudong Zou, Siyu Wu, Zunlei Feng, Jie Song, Yuanyu Wan, Mingli Song, Jiacong Hu

diffusion fine-tuning

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1d ago

Intelligent Base Station Deployment in Urban Wireless Networks: A Geographic Data-Informed Digital Twin Approach

arXiv:2608. 14599v1 Announce Type: cross Abstract: The placement of base station (BS) is a fundamental determinant of coverage and capacity of urban wireless networks.

By Zhenyu Tao, Yuxuan Li, Wei Xu, Yongming Huang, Xiaohu You

diffusion reinforcement-learning benchmarks

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Physics-informed VAE-EVT for Tail Aware Radio Map Prediction

arXiv:2608. 15314v1 Announce Type: new Abstract: Ultra-reliable low-latency communication (URLLC) requires precise identification of spatial regions where the signal-to-noise ratio (SNR) falls below an outage threshold.

By Amanda Sheron Gamage, Niloofar Mehrnia, James Gross

diffusion benchmarks

arXiv AI

Jul 9

Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic Forecasting

arXiv:2607. 07016v1 Announce Type: cross Abstract: Accurate forecasting of cellular network traffic is essential for network planning, resource allocation, and quality-of-service assurance in modern mobile communication systems.

By Qingzhong Li, Yue Hu, Hui Ma, Yajun Zhang, Xinjun Pei, Ming Yan, Fei Xing

rag multimodal

arXiv Machine Learning

Jul 24

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels

arXiv:2512. 04966v2 Announce Type: replace-cross Abstract: Accurate channel state information (CSI) underpins reliable and efficient wireless communication.

By Guangming Liang, Mingjie Yang, Dongzhu Liu, Paul Henderson, Lajos Hanzo

diffusion multimodal benchmarks safety

arXiv AI

Jun 3

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation

arXiv:2509. 01641v3 Announce Type: replace-cross Abstract: We propose a novel diffusion model, termed the non-identical diffusion model, and investigate its application to wireless orthogonal frequency division multiplexing (OFDM) channel generation.

By Yuzhi Yang, Omar Alhussein, M\'erouane Debbah

rag diffusion

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Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation

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Physics-informed VAE-EVT for Tail Aware Radio Map Prediction

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