Researchers introduce The AI Telco Engineer (AITE), a framework that uses large language model-driven evolutionary search to autonomously design algorithms for complex communication problems while navigating performance-complexity tradeoffs.
- AITE designs an equalizer for orthogonal time-frequency space (OTFS) systems, outperforming best-known solutions and reducing computational latency by a factor of 3.6 compared to the strongest baseline.
- The framework constructs a receiver algorithm for orthogonal frequency-division multiplexing (OFDM) systems using a custom constellation and operating without pilots, discovering the first explicit, explainable algorithms that achieve performance parity with state-of-the-art neural receivers.
These results demonstrate the strong potential of LLM-driven evolutionary search for the autonomous discovery of next-generation wireless communications algorithms.