A Combinatorial Auction Resource Trading Mechanism for Cybertwin-Based 6G Network

Cybertwin is a promising technique in the 6G network to cope with an exponentially increasing demand for the mobile data traffic and growing number of required network service appliances. Multiple resources are required to fulfil various personalized services of mobile users while protecting their privacy. In this article, we propose a progressive adaptive user selection environment (PAUSE)-based combinatorial auction resource trading mechanism to allocate the resource efficiently and securely. Cybertwins can request the various resources as a bid according to its corresponding user and proceed the auction in a fully distributed manner. Not only the user’s privacy can be well protected but also its cost can be saved due to the transparency of this mechanism. Simulation results validate the effectiveness of our mechanism in comparison with the centralized benchmark.