Resource Balance Optimization of Network Slicing Based on MDW-SFCM in Space-Air-Ground Integrated Networks

This paper proposes a heuristic Multi-Dimensional Weighted SFC Mapping (MDW-SFCM) algorithm for constructing service function chains (SFCs) in space–air–ground integrated networks (SAGIN). UAVs equipped with lightweight base stations provide access for ground users. To ensure quality of service (QoS) and balance satellite resource utilization, the SFC embedding problem for network slicing deployment is formulated as an integer linear programming (ILP) model. The proposed algorithm incorporates additional costs for frequently used paths to guide SFCs toward links with abundant resources and lower costs. Simulations show that, compared with Request-closest, the proposed method reduces the rejection rate by over 25.17% and improves satellite resource balance by at least 6.79% in scenarios with 1,000 dynamic user requests.