Efficient interference management is the key to meeting the ever increasing demand for wireless data services in wireless networks. In this book, an information-theoretic framework for interference management is presented, along with a discussion of practically implementable schemes for interference management that approach provable bounds on performance and are applicable in large cellular networks.

A particular focus of the book is on exploiting recent technological advancements in the wireless infrastructure that enable cooperative transmission and reception. Our theoretical framework highlights the potential of this technology to deliver the rate gains promised by interference alignment, while using simple zero-forcing schemes that are easier to implement in practice. The schemes that we present rely on local cooperation, and they are shown to be optimal in locally connected interference networks, where the path loss effect allows us to neglect connections between transmitters and receivers that are far away from each other. It is also shown that cooperative communication can be used to deliver significant rate gains using simple zero-forcing with no or minimal extra load on the backhaul, by selecting cell associations and allocation of backhaul resources based on centralized processing and knowledge of the network topology. The insights obtained are also extended to dynamic interference networks that capture the effect of deep fading conditions.

This book is organized as follows: