Reliable Carrier Information Exchange Method for Distributed Resource Aggregation Regulation: A Top-Bayesian UCB Approach
Zhan Shi · 2024
The power line carrier (PLC) information exchange can enhance the operational efficiency and regulation capability of distributed resources, supporting the aggregation regulation of distributed resources. Traditional upper confidence bound (UCB) methods, when applied to the aggregation regulation of distributed resources, fail to consider the availability of arms, leading to channel resource wastage, reduced throughput, and affecting the reliable exchange of carrier information. To address this issue, first, a carrier information reliable interaction architecture for the aggregation regulation of distributed resources is proposed, including the device layer and the edge layer. Second, the PLC channel access strategy is optimized to maximize device throughput. Then, the problem is transformed into a multi-armed bandit (MAB) problem, and an intelligent channel authorization optimization method considering priority and active state is proposed. Bayesian estimation is used to predict the probability of devices being in an active state, and this probability, along with device priority, is introduced into the device preference value calculation formula to achieve real-time sensing of the active state. Finally, the effectiveness of the proposed algorithm is validated through simulation.