Interference Management in Wireless Networks
Fundamental Bounds and the Role of Cooperation
Nonfiction, Science & Nature, Technology, Engineering, Reference & Language, Reference
| Author: | Venugopal V. Veeravalli, Aly El Gamal | ISBN: | 9781316732724 |
| Publisher: | Cambridge University Press | Publication: | February 22, 2018 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Venugopal V. Veeravalli, Aly El Gamal |
| ISBN: | 9781316732724 |
| Publisher: | Cambridge University Press |
| Publication: | February 22, 2018 |
| Imprint: | Cambridge University Press |
| Language: | English |
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.
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.
