BRM-Based Joint Resource Management for Demand-Side Communication in Smart Grid Considering Resource Coupling Effects

Demand response plays a pivotal role in maintaining supply-demand balance in smart grids, relying on reliable twoway communication between the control center (CC) and consumers. However, the uncertainty introduced by data surges poses challenges to communication reliability, leading to load tracking pressure and additional costs for system stability. This paper proposes a computing-network convergence communication architecture that integrates the advantages of edge computing and cooperative relaying technologies. By deploying edge computing devices (ECDs) on the user side for edge data processing, the proposed framework mitigates the adverse effects of data surges and enhances demand-side communication performance. Furthermore, considering the limitations of resources, we develop a bandwidth release model (BRM) based on Amdahls Law and hardware performance limitations to analyze the coupling effects between communication and computation resources. On this basis, a QoS-constrained resource sharing mechanism is established. The dynamic interaction between the utility company (UC) and the telecom operator (TO) is characterized by using a Stackelberg game, allowing for balanced allocation of communication and computation resources. Simulation results demonstrate that the proposed strategy significantly improves system communication quality and economic efficiency.