Prof. Aly El Gamal to share expertise on information theory at ISIT 2019
El Gamal will present a 2.5-hour tutorial entitled “Interference Management in Wireless Networks: Fundamental Bounds and Recent Advances.” He says the presentation is on theoretical analysis that has significant practical impact. The tutorial will provide an information-theoretic framework for cooperative interference management, along with a discussion of practically implementable schemes that approach provable capacity bounds and are applicable in large infrastructural networks.
“The goal is to introduce researchers in the area of information theory to the details of this problem,” says El Gamal. “Being accepted means the organizers of the conference think this is an important enough problem and that we are qualified enough to explain these details.”
He says the tutorial will also explore three recent advances in information theory and their potential impact on next generation wireless networks, including:
- Exploiting user caching to further empower cooperative interference management
- Using blockchain-enabled monetary mechanisms to enable distributed coordination in interference network, and
- Using machine learning techniques for interference management and uncoordinated spectrum access.
“This will help me and my colleagues gain visibility as experts in this area,” says El Gamal. “As people others can come to for knowledge and insight as they do their research.”
El Gamal applied to deliver the tutorial at the conference along with Venugopal V. Veeravalli, the Henry Magnuski professor of electrical and computer engineering at the University of Illinois, Urbana-Champaign. The two co-authored a book titled "Interference Management in Wireless Networks: Fundamental Bounds and the Role of Cooperation," which was published last year by Cambridge University Press and details an information-theoretic approach to minimizing interference in next generation wireless networks.
The 2019 IEEE International Symposium on Information Theory (ISIT) is the flagship meeting of the IEEE Information Theory Society. It will be held July 7-12, 2019 at the Maison de la Mutualité in Paris.