Wireless has quickly become an irreplaceable medium for communication, but by their very nature, wireless transmissions are vulnerable to RF interference from various sources. This weakness is a growing problem for technologies that operate in unlicensed frequency bands, as these bands are becoming more crowded over time. The increasing density of radios, coupled with the growing number of different protocols, dictates that future wireless devices will require the ability to coexist and operate in a crowded and often unregulated electromagnetic environment. This dissertation presents a set of architectures and mechanisms for wireless coexistence. These mechanisms are intended as general primitives, enabling future wireless networks to be architected such that they are aware of who their RF neighbors are, what they are doing, and how to respond to them. We design and develop two systems, each demonstrating how changes at different levels across the network stack can provide significant gains. Degrees Of Freedom (DOF) is a robust and accurate technique to detect activity in any band of the relevant spectrum, while Picasso is an extensible radio design which allows the device to more easily exploit the fragmented bands which are available. This dissertation contributes to advancing the state of the art in wireless network design in multiple ways. First, the systems in this dissertation present novel algorithms that span signal processing, circuit design, and software systems. Not only do these algorithms enrich existing theory, they are designed with practical implementations in mind - helping to bridge the gap between theory and practice. Second, we present prototype implementations and testbed evaluations of our systems. Our results demonstrate that our systems deliver significantly improved performance in crowded interferencecentric environments, compared to the state-of-the-art. Finally, the work in this dissertation demonstrates that by having layers work cooperatively, rather than in isolation, common goals of high throughput and reliability in dense interference scenarios are much more practical to achieve. In particular, DOF demonstrates that more fine-grained information passed between the PHY and the MAC enables the MAC to make more informed and intelligent decisions regarding how to respond to the varying sources of interference. In the same vain, Picasso demonstrates that increased RF isolation can significantly lessen the burden on PHY filtering and MAC coordination - similarly allowing the three to share in the task of exploiting fragmented spectrum. We believe that the systems in this dissertation make a compelling and strong argument for cross-layer interdisciplinary wireless network design in order to solve the problems of wireless coexistence.

This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users’ energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions. The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. It’s one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications. This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.

This book discusses the use of the spectrum sharing techniques in cognitive radio technology, in order to address the problem of spectrum scarcity for future wireless communications. The authors describe a cognitive radio medium access control (MAC) protocol, with which throughput maximization has been achieved. The discussion also includes use of this MAC protocol for imperfect sensing scenarios and its effect on the performance of cognitive radio systems. The authors also discuss how energy efficiency has been maximized in this system, by applying a simple algorithm for optimizing the transmit power of the cognitive user. The study about the channel fading in the cognitive user and licensed user and power adaption policy in this scenario under peak transmit power and interference power constraint is also present in this book.

Used to explain complicated economic behavior for decades, game theory is quickly becoming a tool of choice for those serious about optimizing next generation wireless systems. Illustrating how game theory can effectively address a wide range of issues that until now remained unresolved, Game Theory for Wireless Communications and Networking provides a systematic introduction to the application of this powerful and dynamic tool. This comprehensive technical guide explains game theory basics, architectures, protocols, security, models, open research issues, and cutting-edge advances and applications. It describes how to employ game theory in infrastructure-based wireless networks and multihop networks to reduce power consumption—while improving system capacity, decreasing packet loss, and enhancing network resilience. Providing for complete cross-referencing, the text is organized into four parts: Fundamentals—introduces the fundamental issues and solutions in applying different games in different wireless domains, including wireless sensor networks, vehicular networks, and OFDM-based wireless systems Power Control Games—considers issues and solutions in power control games Economic Approaches—reviews applications of different economic approaches, including bargaining and auction-based approaches Resource Management—explores how to use the game theoretic approach to address radio resource management issues The book explains how to apply the game theoretic model to address specific issues, including resource allocation, congestion control, attacks, routing, energy management, packet forwarding, and MAC. Facilitating quick and easy reference to related optimization and algorithm methodologies, it supplies you with the background and tools required to use game theory to drive the improvement and development of next generation wireless systems.