Recent advances in communication technologies are accompanied by a rising need to design self-organizing, self-optimizing, and autonomous networks. Due to these reasons, game theory has recently emerged as a key tool in the design and analysis of next-generation communication networks and signal processing systems. The objective of this symposium is to gather not only researchers and experts in game theory and its applications in networks and signal processing, 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. Topics of interest include but are not limited to: Self-organizing resource management and pricing. Game theory for decentralized signal processing and optimization. Interference mitigation in wireless networks. Emerging applications such as heterogeneous networks, cognitive radio, the smart grid, social networks, and cloud markets Learning in games Bayesian games for communication under uncertainty Game theory for information security Applications of dynamic games in networked systems Game-theoretic designs for energy-efficient systems Game theory for adaptive waveform design Adaptive filtering and stochastic approximation algorithms via game theory and learning Sensor activation and consensus Transceiver design using game theory Algorithmic game theory in signal processing and communications