GAMECOMM

Recent advances in communication technologies are accompanied by a rising need to design self-organizing, self-optimizing, and autonomous networks. The need for pervasive communication, anytime, anywhere, and the emergence of novel resource-demanding applications and services leads to new technical challenges that next-generation communication and wireless networks must meet. Due to these reasons, game theory has recently emerged as a key tool in the design and analysis of next-generation communication networks. In the past decade, there has been a surge in research activities that employ game theory to model and analyze modern communication systems. This is mainly due to: (1) the emergence of large-scale, decentralized, and heterogeneous wireless and communication networks, (2) the need for efficient coexistence between a variety of communication technologies, (3) the dramatic developments in processing and computational power which made it possible for various network entities to operate autonomously, and (4) the need for communication designs that are robust under the uncertainties that arise in communication networks, such as the time-varying wireless channel or the presence of malicious nodes. In fact, game theory can be used in a plethora of applications such as resource allocation, network formation, routing, interference management, dynamic network operation, spectrum allocation, cooperative transmission, cognitive radio, security, ad hoc networks, and the deployment of wireless agents. The objective of this workshop is to gather, not only researchers and experts in game theory and its applications in wired and wireless networks, but also researchers from other disciplines such as computer science, control, economics, or operational research, who have an interest in novel game theoretical techniques and applications.