With advances in sensing technology, processing capability, memory capacity, and battery technology, wireless and mobile information systems are increasingly becoming aware of the conditions of their components and the surrounding environment. Based on learning results, a cognitive wireless device is able to dynamically reconfigure its own characteristics to allocate resources efficiently and improve performance. In addition, cooperation among networked peer devices enables them to make intelligent adaptations based on the aggregated learning results to optimize the whole network performance. Joint cognitive and cooperative principles can be exploited into decisions such as spectrum access, resource allocation, data transfer, energy management, mobility management, and networking.

We invite investigators to contribute original research articles as well as review articles on recent results of cognitive and cooperative techniques in advanced wireless and mobile information systems. Research and development results on learning, reasoning, information sharing, and cooperative mechanisms and their effect on system performance improvement are solicited. Techniques and applications in emerging wireless and mobile information systems, such as opportunistic mobile social networks, cyber physical systems, mobile cloud, 5G mobile systems, and Internet of Things, are especially welcome.

Potential topics include, but are not limited to:

• Efficient spectrum sensing and dynamic spectrum access
• Machine learning algorithms
• Cooperative and cognitive communication
• Cooperative localization
• Collaborative decisions on relaying and routing
• Cognitive and opportunistic networking
• Energy harvesting and cognitive energy management
• Adaptive mobility and network management
• Adaptive modulation and massive MIMO schemes
• Cognitive and cooperative techniques for resource allocation and management
• Cognitive and cooperative techniques for reliability, resiliency, and fault tolerance
• Cognitive and cooperative techniques for security and privacy
• Experiences in test-beds, experimental systems, and real-world applications