joleeson/Directional-JRC
Code for the paper "Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks" as published in IEEE Transactions on Vehicular Technology
This project offers a simulated environment and algorithms for intelligent vehicles to manage both radar sensing and communication needs simultaneously. It takes in real-time environmental data, such as surrounding vehicle presence, and outputs optimized decisions on how to allocate vehicle resources for reliable sensing and data transmission. This is intended for researchers and engineers developing next-generation autonomous driving systems.
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Use this if you are developing or researching resource allocation strategies for joint radar-communication (JRC) in autonomous vehicles, especially in multi-agent scenarios.
Not ideal if you are looking for a pre-built solution for immediate deployment in commercial autonomous vehicles or if your focus is solely on either radar or communication, not their joint optimization.
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Python
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Last pushed
Oct 24, 2022
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