Scalable Cross-Attention Transformer for Cooperative Multi-AP OFDM Uplink Reception

2026-02-04 · Xavier Tardy, Grégoire Lefebvre, Apostolos Kountouris, Haïfa Fares, Amor Nafkha arxiv

We propose a cross-attention Transformer for joint decoding of uplink OFDM signals received by multiple coordinated access points. A shared per-receiver encoder learns the time-frequency structure of each grid, and a token-wise cross-attention module fuses the receivers to produce soft log-likelihood ratios for a standard channel decoder without explicit channel estimates. Trained with a bit-metric objective, the model adapts its fusion to per-receiver reliability and remains robust under degraded links, strong frequency selectivity, and sparse pilots. Over realistic Wi-Fi channels, it outperforms classical pipelines and strong neural baselines, often matching or surpassing a local perfect-CSI reference while remaining compact and computationally efficient on commodity hardware, making it suitable for next-generation coordinated Wi-Fi receivers.

📄 PDF Abstract BibTeX arXiv:2602.04728

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CoMamba: Real-time Cooperative Perception Unlocked with State Space Models

2024-09-16 · Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu 외

Cooperative perception systems play a vital role in enhancing the safety and efficiency of vehicular autonomy. Although recent studies have highlighted the efficacy of vehicle-to-everything (V2X) communication techniques…

Autonomous Driving object-detection Object Detection State Space Models

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Current state-of-the-art approaches to cross-modal retrieval process text and visual input jointly, relying on Transformer-based architectures with cross-attention mechanisms that attend over all words and objects in an …

Cross-Modal Retrieval Retrieval

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2022-03-20 · Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia 외

In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present a robust cooperative perception framework with V2X commu…

3D Object Detection Autonomous Vehicles object-detection Object Detection

TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics

2026-04-20 · Sheng Xu, Guiliang Liu, Tarak Kharrat, Yudong Luo 외 arxiv

Success in association football relies on both individual skill and coordinated tactics. While recent advancements in spatio-temporal data and deep learning have enabled predictive analyses like trajectory forecasting, t…

Trajectory Forecasting

Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

2022-08-15 · Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

The StarCraft II Multi-Agent Challenge (SMAC) was created to be a challenging benchmark problem for cooperative multi-agent reinforcement learning (MARL). SMAC focuses exclusively on the problem of StarCraft micromanagem…

Multi-agent Reinforcement Learning reinforcement-learning Reinforcement Learning (RL)SMAC+3