When SemCom Meets Drones for Supporting 6G: Drone Dataspace Use Case
Saeed Hamood Alsamhi, Farhan M. A. Nashwan, Majjed Al-Qatf, Abdu Saif, Santosh Kumar, Edward Curry · 2025
The growth of intelligent services drives the evolution of sixth-generation (6G) wireless networks from a traditional high-speed transmission architecture to an architecture that enables the intelligent connection of everything. Semantic communication (SemCom) incorporates user and application requirements, and the significance of information in data processing and transmission is anticipated to become a critical paradigm in 6G. Overhead computing, delay, and storage computing are challenging in semantic extraction. To address these challenges, we propose a drone-driven approach to training, maintenance, and execution of semantic extraction. In this paper, we present a novel framework for enhancing drone intelligence with SemCom by improving the generalization abilities of drones while minimizing computation overhead and reducing the communication overhead in information exchange. In addition to bridging the gap between SemCom theory and real-world UAV applications, this paper lays the groundwork for future 6G networks to have adaptive, human-like intelligence. The adaptability of the proposed architecture is further demonstrated in fields like disaster relief and precision agriculture, highlighting its potential to completely transform IoE ecosystems.