Researchers have developed The AI Telco Engineer (AITE), a framework that uses large language model-driven evolutionary search to autonomously design wireless communication algorithms. AITE was applied to two physical-layer problems: designing an equalizer for OTFS systems and a receiver for OFDM systems. For the OTFS task, AITE created algorithms that surpassed existing solutions and reduced computational latency by 3.6 times. For the OFDM task, it generated explainable algorithms matching the performance of state-of-the-art neural receivers. AI
IMPACT Demonstrates potential for LLM-driven evolutionary search to create novel algorithms for complex communication systems.
RANK_REASON The cluster contains two identical arXiv papers detailing a new research framework and its application.
- Aiterhofen
- Orthogonal frequency-division multiplexing
- Orthogonal Time Frequency Space
- OTFS peak-to-average power ratio suppression based on improved SLM algorithm
- The AI Telco Engineer
- arXiv
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