Optimization of Partially Observable Systems in Wireless Networks: Game Theory, Self-adaptivity and Learning

Since delay-sensitive and bandwidth-intense multimedia applications have emerged in the Internet, the demand for network resources has seen a steady increase during the last decade. Specifically, wireless networks have become pervasive and highly populated. These motivations are behind the problems considered in this book. The topic of this book is about the application of game theory, queueing theory and learning techniques in wireless networks under some QoS constraints, especially in partially observable en- vironments. We consider different layers of the protocol stack. In fact, we study the Opportunistic Spectrum Access (OSA) at the Medium Access Control (MAC) layer through Cognitive Radio (CR) approaches. Thereafter, we focus on the congestion con- trol at the transport layer, and we develop some congestion control mechanisms under the TCP protocol.