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Found 4 papers, 2 papers with code
Reconfigurable AI Modules Aided Channel Estimation and MIMO Detection
Deep learning (DL) based channel estimation (CE) and multiple input and multiple output detection (MIMODet), as two separate research topics, have provided convinced evidence to demonstrate the effectiveness and robustness of artificial intelligence (AI) for receiver design.
Neural fidelity warping for efficient robot morphology design
We consider the problem of optimizing a robot morphology to achieve the best performance for a target task, under computational resource limitations.
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Future wireless networks are expected to evolve towards an intelligent and software reconfigurable paradigm enabling ubiquitous communications between humans and mobile devices.
Relational Graph Learning for Crowd Navigation
We present a relational graph learning approach for robotic crowd navigation using model-based deep reinforcement learning that plans actions by looking into the future.
