A Joint Resource Optimization Scheme for High-Bandwidth Power Grid Services Based on Low Earth Orbit Satellites

The explosive proliferation of large-bandwidth intelligent-grid services has dramatically intensified the demand for high-speed, reliable communications. Although satellite communication systems can deliver extensive coverage and greater capacity, existing resource-allocation strategies still struggle to cope with sudden traffic surges, stringent quality of service (QoS) requirements, and frequent satellite handovers. These shortcomings often result in poor bandwidth utilization and service interruptions, highlighting the need for more adaptive and fine-grained optimization frameworks. To address this issue, this paper investigates an optimized resource allocation scheme that integrates satellite communication technology in high-bandwidth power grid service scenarios, aiming to provide efficient and stable communication services. Building upon the application of low Earth orbit (LEO) satellites in smart grid communications, this paper presents a joint resource allocation scheme that optimizes the association between power grid communication nodes and subchannels, along with the allocation of transmission power, to satisfy the requirements of high-bandwidth power grid services. First, an optimization problem is formulated to maximize the total uplink transmission rate of power grid communication devices. Then, a genetic algorithm (GA) is employed to optimize the satellite-to-grid node association. Subsequently, a two-stage Gale-Shapley (GS) stable matching algorithm, combined with the Lagrangian duality theory, is utilized for the joint allocation of subchannel and power resources. Finally, simulation results validate the performance and convergence of the proposed algorithm. The results demonstrate that, compared to matching and Lagrangian-based algorithms, random channel allocation with average power, and the joint optimization Algorithm without minimum rate constraints, the proposed algorithm achieves a higher total system transmission rate while significantly enhancing the robustness of the power grid communication network. These findings confirm the effectiveness of the proposed method.