An Improved Spectrum Trading Design Based on Dynamic Credit Aggregate-Signature Blockchain

At present, the number of incoming devices and mobile data traffic has seen explosive growth, and spectrum resources are difficult to meet the increasing demand. The traditional centralized spectrum management model suffers from low spectrum utilization, high maintenance costs, and data security issues. The decentralized and secure nature of blockchain technology is a natural advantage in solving the problems faced by the current spectrum management model. However, when introducing traditional blockchain technology into spectrum management, it faces problems such as high latency and high resource consumption. In this paper, we design a new blockchain-enabled spectrum trading framework consisting of the access layer, distribution layer, and core layer, and then propose a user benefit-maximum spectrum trading matching scheme. To solve the problem of latency and energy consumption of consensus algorithms in blockchains, the dynamic credit aggregate-signature Byzantine fault tolerance (DCABFT) algorithm based on the Boneh-Lynn-Shacham (BLS) aggregated signature is proposed. Simulation results demonstrate that the proposed scheme can greatly improve the transaction latency and users' quality of service.