AI-alapú szemantikus adaptív adatátviteli mechanizmus kivitelezése és elemzése
Implementation and analysis of an AI-based semantic adaptive data communication mechanism
Keywords:
Semantic communication, concept-based error correction, neural network, ESP32, dynamic link adaptation, /, szemantikus kommunikáció, fogalomalapú hibajavítás, neurális hálózat, adaptív nyugtázás, peremhálózati számításAbstract
This paper presents an embedded, concept-based semantic communication system built on ESP32 mi-crocontrollers. The primary goal is to tackle channel noise and errors in resource-constrained environments. Our approach combines multilevel semantic coding and PAM4 modulation with a neural network that performs denoising. By continuously monitoring the channel condition, the receiver automatically adjusts transmission levels to instantaneous conditions using adaptive acknowledgments.
Kivonat
Ez a tanulmány egy beágyazott, ESP32-mikrokontrollerekre épülő, fogalomalapú szemantikus kommuniká-ciós rendszert mutat be. A munka fő célja a zajos csatornák okozta hibák hatékony kivédése szűkös erőforrású környezetben. A javasolt megoldás többszintű szemantikai kódolást és PAM4-modulációt kapcsol össze egy zajszűrő neurális hálózat segítségével. A vevő a csatorna állapotát folyamatosan figyelve, adaptív nyugtákkal automatikusan igazítja az átviteli szinteket a pillanatnyi viszonyokhoz.
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