Blockchain-Assisted Intelligent Symbiotic Radio in Space-Air-Ground Integrated Networks
Runze Cheng, Yao Sun, Lina Mohjazi, Ying-Chang Liang, Muhammad Ali, Imran

TL;DR
This paper proposes a blockchain and machine learning-based framework for resource management in space-air-ground integrated networks, enabling trusted and intelligent service/resource trading among heterogeneous radios.
Contribution
It introduces a novel secure and smart symbiotic SAGIN framework (S^4) combining blockchain and ML to enhance resource sharing and decision-making.
Findings
Better service quality demonstrated in case study
Improved resource management over existing schemes
Enhanced trust in heterogeneous radio trading
Abstract
In a space-air-ground integrated network (SAGIN), managing resources for the growing number of highly-dynamic and heterogeneous radios is a challenging task. Symbiotic communication (SC) is a novel paradigm, which leverages the analogy of the natural ecosystem in biology to create a radio ecosystem in wireless networks that achieves cooperative service exchange and resource sharing, i.e., service/resource trading, among numerous radios. As a result, the potential of symbiotic communication can be exploited to enhance resource management in SAGIN. Despite the fact that different radio resource bottlenecks can complement each other via symbiotic relationships, unreliable information sharing among heterogeneous radios and multi-dimensional resources managing under diverse service requests impose critical challenges on trusted trading and intelligent decision-making. In this article, we…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Space exploration and regulation
