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Future integrated terrestrial-aerial-satellite networks will have to exhibitsome unprecedented characteristics for the provision of both communications andcomputation services, and security for a tremendous number of devices with verybroad and demanding requirements across multiple networks, operators, andecosystems. Although 3GPP introduced the concept of self-organization networks(SONs) in 4G and 5G documents to automate network management, even thisprogressive concept will face several challenges as it may not be sufficientlyagile in coping with the immense levels of complexity, heterogeneity, andmobility in the envisioned beyond-5G integrated networks. In the presentedvision, we discuss how future integrated networks can be intelligently andautonomously managed to efficiently utilize resources, reduce operationalcosts, and achieve the targeted Quality of Experience (QoE). We introduce thenovel concept of "self-evolving networks (SENs)" framework, which utilizesartificial intelligence, enabled by machine learning (ML) algorithms, to makefuture integrated networks fully automated and intelligently evolve withrespect to the provision, adaptation, optimization, and management aspects ofnetworking, communications, computation, and infrastructure nodes' mobility. Toenvisage the concept of SEN in future integrated networks, we use theIntelligent Vertical Heterogeneous Network (I-VHetNet) architecture as ourreference. The paper discusses five prominent scenarios where SEN plays themain role in providing automated network management. Numerical results providean insight on how the SEN framework improves the performance of futureintegrated networks. The paper presents the leading enablers and examines thechallenges associated with the application of SEN concept in future integratednetworks.

A Vision of Self-Evolving Network Management for Future Intelligent Vertical HetNet