Interference-Based Consensus and Transaction Validation Mechanisms for Blockchain-Based Spectrum ManagementView Publication
The convergence of dynamic spectrum access (DSA) and blockchain has been regarded as the new paradigm of spectrum management. Because of the inherent properties of blockchain, such as decentralization and tamper-resistance, the deployment of blockchain in future networks has advantages to address problems exposed in traditional centralized spectrum management systems, such as high security risk and low allocation efficiency. In this article, we first compare blockchain-based spectrum management with the traditional centralized approach and then present a reference architecture for blockchain-based spectrum management. In particular, we propose an interference-based consensus mechanism, which can be employed to improve transaction efficiency and reduce system overhead while promoting spectrum sharing. The proposed consensus mechanism is based on the comparison of aggregated interference experienced by each node, such that the node that suffers the most aggregated interference will obtain the accounting right as a compensation. Furthermore, to avoid harmful interference caused by spectrum traders, an interference-based transaction validation mechanism is designed to validate the spectrum transactions stored in the blocks. Different from existing transaction validation mechanisms in which every transaction needs to be validated by all nodes, a “transaction validation area” is determined for each spectrum transaction, and only the nodes located in the validation area need to validate the transaction. The simulation results show that the system fairness and nodes’ signal-to-interference-and-noise power ratio (SINR) can be improved by adopting the proposed mechanisms while reducing the system overhead.
Related PublicationsView All
Mobile Integrated Access and Backhaul: Potential Power Saving Issues and Solutions
Haojin Li, Chen Sun, Shuo WangA key benefit of integrated access and backhaul (IAB) is enabling flexible and very dense deployment of NR cel […]
Enhanced K-means-type Clustering Algorithm with Seeding Constraints for the VANET
Tao Cui, Chen Sun, Jing Jia*, Ming-Tuo Zhou*This paper considers a cluster-based relay vehicle selection scheme that adjusts the K-means-type algorithm to […]