Abstract
When facing massive interconnection scenarios of terminals, 5G message service system needs to support large-scale information access and management and provides the efficient and reliable signal control to scheduling a variety of wireless access networks. In this paper, artificial immune theory is applied to the 5G message services. The simulating the immune response mechanism, a semi-distributed dynamic adaptive immune network architecture was proposed. The dynamic learning mechanism and immune memory mechanism of the detector were established, which improved the 5G edge computing capability and reduced the load of the 5G core network. The concept of the immune message distribution system (IMDS) is proposed, which uses clonal selection algorithm to classify and clone the message header, and combines with the affirmative selection algorithm to carry out high-frequency variation on the message body. On the premise of ensuring the diversity of antibodies, the space consumption problem of the hash-map algorithm is effectively solved, and the efficiency of message distribution is improved. The comparison of simulation results shows that the IMDS improves the message recognition ability and adaptive ability of the 5G system and proves the feasibility of semi-distributed immune dynamic learning mechanism.
Highlights
With the continuous expansion of 5G system functional requirements, the future 5G system should have the following key capabilities: 1. Support the wired side and wireless side context messaging services of mass mobile terminals.2
The immune message distribution system (IMDS) module is responsible for handling the routing and distribution of 5G system context messages by using artificial immune technology, including: detector, self-set, dynamic adaptive learning module (DALM) and semi-distributed exchange learning module (SDELM)
In 5G system, IMDS select antibodies with high antigenaffinity and memory cells in the antibody population to participate in clonal amplification and mutation, while antibodies with low affinity still exist in the system and die out gradually
Summary
With the continuous expansion of 5G system functional requirements, the future 5G system should have the following key capabilities: 1. Support the wired side and wireless side context messaging services of mass mobile terminals. The IMDS module is responsible for handling the routing and distribution of 5G system context messages by using artificial immune technology, including: detector, self-set, dynamic adaptive learning module (DALM) and semi-distributed exchange learning module (SDELM). In order to make the detector recognize the antigen message code more quickly, the antigen message code can be divided into numerical ranges according to the business type in the system construction stage, for example, the decimal range of the call established message code is from 1 to 1000, the decimal range of the call maintained message code is from 1001 to 2000, and so on After such processing, when the message enters the system again, the IMDS of the system first enters the CMM and GEMM for query, and gives priority to processing, so as to carry out rapid immune response and perform efficient and lasting message distribution function
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