Abstract
The Space-air-ground integrated network (SAGIN) has been a valuable architecture for communication support due to its characteristics of wide coverage and low transmission delay. Both low earth orbit (LEO) satellites and UAVs can serve as relay nodes to provide reliable communication services for ground devices. However, the design of data transmission links (DTL) in SAGIN is not easy, considering different accessing layers and resource usage of network segments. Moreover, network topology, available resources, and relative motion need to be analyzed comprehensively for the deployment of DTLs. To address these problems in a heterogeneous SAGIN network, the software defined networking (SDN) architecture is utilized to realize global knowledge acquisition. Then a traffic prediction method based on autoregressive moving average (ARMA) model is utilized to forecast the resource usage of SAGIN segments. After the analysis of link performance, the Adaboost algorithm is used to classify network nodes according to their data transmission capacity for DTL deployment. Simulation results show that the proposed Adaboost-based link planning scheme is feasible and effective.
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