BRIEF RESEARCH REPORT article
Front. Comput. Sci.
Sec. Networks and Communications
AIICN: A 7G multi-path transmission based on information-centric network
Provisionally accepted
- Shanghai Donghai Vocational and Technical College, Shanghai, China
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7G network refers to the seventh generation of mobile communication standards, which will integrate satellites, airships, base stations, etc. to achieve data transmission with longer coverage, and can also be deeply integrated with artificial intelligence, big data, etc. Multi-path transmission achieves bandwidth aggregation by establishing multiple paths between the sender and the receiver, improving transmission reliability and data accessibility. Therefore, it is of great significance to apply multi-path transmission to 7G networks. However, traditional multi-path transmission technology (MPTCP/MPQUIC) cannot cope with the new features emerging in 7G networks with lower complexity, such as path selection, low latency, and protocol incompatibility. The information-centric network (ICN) has the advantages of strong mobility and bandwidth saving, and has been widely used in integrated networks. So this paper proposes an artificial intelligence multi-path transmission mechanism based on the ICN, and mathematically models the entire transmission process as a mixed integer linear programming to solve the problem of multi-path transmission path conflicts in 7G networks (called AIICN). Experiments show that the proposed AIICN multi-path transmission has the advantages of high throughput, low complexity, and fast algorithm convergence, and the transmission throughput is about 21% higher than traditional multi-path transmission. AIICN can be well applied to 7G networks to achieve efficient multi-path transmission.
Keywords: 7G network, Multi-path transmission, artificial intelligence, throughput, ICN
Received: 04 Jul 2025; Accepted: 30 Oct 2025.
Copyright: © 2025 Xing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ziyang Xing, jingqs@yeah.net
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