The rapid proliferation of new devices (e.g., wearable device) has made the networks to become more complexity. Although advanced techniques have extensively improved user's quality of experience (QoE), some issues arise from the increasing communication intensive, delay sensitive and computation intelligence, which the current protocols, infrastructures and algorithms can no handle. Therefore, it is a great challenge to develop smart networks that support optimized management, dynamic configuration and intelligent services.
Artificial intelligence (AI) is one of the most important technologies expected to improve the daily lives of human-beings and promote further utility with potential computational intelligence. The research field of AI is interdisciplinary and utilize the knowledge and methods from many areas such as statistics, psychology, biology, signal processing, physics, information theory and mathematics, which are very promising approaches to deal with the dynamic and large-scale topology. Thus, we should explore AI-based techniques such as statistical learning, feedforward neural networks, deep convolution neural networks, etc., for complicated decision making, network management, resource optimization and in-depth knowledge discovery in complex environments.
As for software-defined networks (SDN), the goal is to separate the control plane from the data plane in networking equipment, so that network intelligence and state are logically centralized, and the underlying network infrastructure is virtualized from applications. Different form SDN, artificial intelligence defined networks (AIDN) aim to address the complex requirements of networks from a macro perspective, highlighting the crucial role of “predictive" network functions using AI.
This special issue focuses on the crossroads among scientists, industry practitioners, and researchers from the domains in artificial intelligence, computer networks, software defined networks, wireless communications, computational intelligence, etc. We envision to provide a platform for researchers to further explore innovative AI technologies for intelligence networks from both theoretical and practical perspectives. We invite researchers from academia, industry, and government to discuss challenging ideas, novel research contributions, demonstration results, and standardization efforts on Artificial Intelligence Defined Networks. Submitted papers in this SI are expected to focus on state-of-the-art research in various aspects of intelligent network, especially the use of AI and machine learning for communication, computation, caching and networking. Topics of interest include, but are not limited to, the following areas:
AI-based network architectures and infrastructure
Data analytics and behavior prediction for intelligent networking services
Cognitive computing, affective computing, machine learning and other innovative approaches for smart networks
Context-aware, emotion-aware, and other novel network services based on AI
Multi-modal information fusion, contextual dara management and in-depth knowledge discovery for networks
Intelligent and interactive network services and applications
AI-based testbed, performance evaluation for networks
AI-based security and privacy protection for networks