Resource Mapping Allocation Scheme in 6G Satellite Twin Network

The sixth generation (6G) satellite twin network is an important solution to achieve seamless global coverage of 6G. The deterministic geometric topology and the randomness of the communication behaviors of 6G networks limit the realism and transparency of cross-platform and cross-object communicati...

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Published inSensors (Basel, Switzerland) Vol. 22; no. 15; p. 5816
Main Authors Deng, Zhongliang, Yu, Xiaoyi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 04.08.2022
MDPI
Subjects
Artificial intelligence
Basis functions
Behavior
Collaboration
Communications systems
Computation
Connectivity
Data processing
Genetic algorithms
Graphs
integrated network framework
Mapping
multi-objective optimization
Multilayers
Network topologies
Optimization
Resource allocation
satellite communication
Simulation
Software
twin network
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Summary:The sixth generation (6G) satellite twin network is an important solution to achieve seamless global coverage of 6G. The deterministic geometric topology and the randomness of the communication behaviors of 6G networks limit the realism and transparency of cross-platform and cross-object communication, twin, and computing co-simulation networks. Meanwhile, the parallel-based serverless architecture has a high redundancy of computational resource allocation. Therefore, for the first time, we present a new hypergraph hierarchical nested kriging model, which provides theoretical analysis and modeling of integrated relationships for communication, twin, and computing. We explore the hierarchical unified characterization method which joins heterogeneous topologies. A basis function matrix for local flexible connectivity of the global network is designed for the connection of huge heterogeneous systems to decouple the resource mapping among heterogeneous networks. To improve the efficiency of resource allocation in communication, twin, and computing integrated network, a multi-constraint multi-objective genetic algorithm (MMGA) based on the common requirements of operations, storage, interaction, and multi-layer optimal solution conflict is proposed for the first time. The effectiveness of the algorithm and architecture is verified through simulation and testing.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22155816