Decentralized Interference Alignment for Tactical Wireless Networks: From Theory to Practice
Abstract
Interference Alignment (IA) is a fresh and exciting new framework for the age-old problem of wireless interference mitigation and management. Interference severely limits the performance of all wireless systems, draining power while creating a destructive competition between devices operating in the same spectrum. Interference Alignment changes the traditional notion of interference cancellation by permitting powerful interference, as long as it is contained in a limited set of dimensions . Thus, transmitters can freely interfere with one another as long as they follow the policy of alignment. It is known, in theoretical research, that this is not just good, it is optimal. However, alignment is relegated to theory currently, and little is known of its practicality. The promise of this proposal is to raise our level of understanding of alignment from primarily theoretical to a practical plane, incorporating real-world models, constraints and testbeds in the process. We present three thrusts, which together build a set of algorithms and protocols that test the promises and challenges posed by alignment in practice.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512009
Entities
People
- Sriram Vishwanath
Organizations
- Office of Naval Research
- United States Navy
- University of Texas at Austin