Multicast SFC Embedding in Software-Defined SAGIN with Heterogeneous Network Resources

• Main Authors: Sun, Deyang, Li, Hang, Kong, Zixuan, Zhu, Zhenghe, Chen, Yawen, Lu, Zhaoming, Wen, Xiangming
• Format: Conference Proceeding
• Language: English
• Subjects: Computational modeling; Costs; Heuristic algorithms; Multicast algorithms; multicast communication; multicast service function chain (MSFC); Service function chaining; Simulation; Space-air-ground integrated network (SAGIN); Space-air-ground integrated networks; virtual network function (VNF)
• ISSN: 1558-2612
• DOI: 10.1109/WCNC57260.2024.10571313

Space-Air-Ground Integrated Network (SAGIN) is emerged as a promising paradigm to realize the vision of global coverage of sixth generation (6G) communication network. As an efficient communication pattern, multicast communication can be widespread among the ever increasing communication requests in the seamless access SAG IN. However, given the extensive network scale, time varying characteristic and heterogeneity of SAG IN, the coordination of heterogeneous networks brings challenges to resource allocation. With virtualization technologies, the physical resources within SAGIN can be virtualized as Virtual Network Functions (VNFs) in virtual resource pool. To ensure that multicast services can be provided, the network deploys Multicast Service Function Chains (MSFCs) where the service flows is processed by VNFs in order during the transmission. In this paper, we study the problem of jointly optimizing VNF placement and multicast routing within SAG IN while considering that different network segments are equipped with different physical network resources and cost coefficients. We formulate it as an Integer Linear Programming (ILP) problem with the objective of maximizing network revenue while minimizing resource cost of computation and bandwidth. Since it is NP-hard, a low complexity heuristic algorithm is developed to find an efficient solution within polynomial time. Simulation results demonstrate the effectiveness of our proposed model and algorithm, and the deployment cost and blocking rate can be significantly reduced in SAGIN compared with independent terrestrial network.