计算机科学
正确性
人工免疫系统
分布式计算
计算机网络
人工智能
算法
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2021-03-01
卷期号:15 (1): 1489-1500
被引量:1
标识
DOI:10.1109/jsyst.2020.2997878
摘要
Fifth-generation (5G) nonstandalone (NSA) uses the 4G infrastructure to realize the rapid deployment of 5G, which will challenge the convergence of network architecture, signaling recognition, and editing capabilities of the next generation of mobile communications systems. Inspired by the immune technology of allograft transplantation, this article proposes for the first time the mechanism of antirejection induced by immune tolerance (IT) to solve the problem of signaling recognition and fusion between the heterogeneous mobile communication systems. First, with transplantation immunity as the technical background, a 5G NSA fusion architecture based on the adaptive IT mechanism was constructed. Then, the deep learning (DL) algorithm is used to efficiently identify the type of donor protocol, and the affinity calculation between the recipient and the donor is used to further enhance the correctness of the model recognition results. Meanwhile, the antibody concentration calculation was used to maintain the diversity of antibodies, which realized the complementarity between the IT mechanism and the DL algorithm. Finally, the donor signaling is decoded based on xor and encoded again based on the gene bit field. Simulation results show that the proposed method can effectively identify donor signaling, improve the affinity between the heterogeneous signaling and the efficiency of encoding and decoding, and broaden the research boundary of artificial immunity.
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