Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection
arxiv(2024)
Abstract
Unmanned aerial vehicles (UAVs) are widely used for object detection.
However, the existing UAV-based object detection systems are subject to the
serious challenge, namely, the finite computation, energy and communication
resources, which limits the achievable detection performance. In order to
overcome this challenge, a UAV cognitive semantic communication system is
proposed by exploiting knowledge graph. Moreover, a multi-scale compression
network is designed for semantic compression to reduce data transmission volume
while guaranteeing the detection performance. Furthermore, an object detection
scheme is proposed by using the knowledge graph to overcome channel noise
interference and compression distortion. Simulation results conducted on the
practical aerial image dataset demonstrate that compared to the benchmark
systems, our proposed system has superior detection accuracy, communication
robustness and computation efficiency even under high compression rates and low
signal-to-noise ratio (SNR) conditions.
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