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Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

Salvato in:
Pubblicato in:arXiv.org (Dec 7, 2024), p. n/a
Autore principale: Huang, Chong
Altri autori: Chen, Xuyang, Chen, Gaojie, Xiao, Pei, Geoffrey Ye Li, Huang, Wei
Pubblicazione:
Cornell University Library, arXiv.org
Soggetti:
Semantics
Resource conservation
Deep learning
Signal generation
Image reconstruction
Communication
Unmanned aerial vehicles
Satellite communications
Satellite imagery
Optimization
Resource allocation
Network latency
Image transmission
Image quality
Real time
Satellites
Image processing
Low earth orbits
Signal to noise ratio
Accesso online:Citation/Abstract
Full text outside of ProQuest
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