Interference Management in Wireless Networks
Fundamental Bounds and the Role of Cooperation

Learn about an information-theoretic approach to managing interference in future generation wireless networks. Focusing on cooperative schemes motivated by Coordinated Multi-Point (CoMP) technology, the book develops a robust theoretical framework for interference management that uses recent advancements in backhaul design, and practical pre-coding schemes based on local cooperation, to deliver the increased speed and reliability promised by interference alignment. Gain insight into how simple, zero-forcing pre-coding schemes are optimal in locally connected interference networks, and discover how significant rate gains can be obtained by making cell association decisions and allocating backhaul resources based on centralized (cloud) processing and knowledge of network topology. Providing a link between information-theoretic analyses and interference management schemes that are easy to implement, this is an invaluable resource for researchers, graduate students and practicing engineers in wireless communications.

1. Introduction to interference management; 2. System model and sum capacity characterization; 3. Degrees of freedom (DoF) and interference alignment; 4. Iterative algorithms for interference management; 5. DoF with coordinated multi-point (CoMP) transmission; 6. Locally connected channels with CoMP; 7. Backhaul load constraint; 8. Cellular uplink; 9. Dynamic interference management; 10. Recent advances and open problems; Appendix A. Information theory; Appendix B. Algebraic geometry.

Venugopal V. Veeravalli is the Henry Magnuski Professor in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Aly El Gamal is an Assistant Professor in the Department of Electrical and Computer Engineering at Purdue University, Indiana.