AI-RAN workloads successfully run on NPUs, bypassing traditional baseband chips

Researchers have demonstrated that Neural Processing Units (NPUs), typically used for AI inference, can effectively handle wireless baseband processing tasks. By reconstructing communication algorithms to align with NPU architectures and prioritizing engine utilization, they achieved end-to-end over-the-air transmission using an Ascend 310B1 edge NPU and a USRP X300. This work provides the first affirmative answer to whether NPUs can support AI-RAN workloads, which unify AI and radio access network functions. AI

IMPACT Demonstrates NPUs can handle wireless baseband processing, potentially enabling more integrated and efficient AI-RAN systems.

RANK_REASON Academic paper detailing a novel technical approach and experimental validation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• AI-RAN
• Ascend 310B1
• graphics processing unit
• National Pingtung University of Science and Technology
• Neural Processing Units
• USRP X300

• paper
• infra

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