Extracting Structure from Chaos: Interference Alignment for Tactical Wireless Networks
Abstract
Both interference alignment (IA) and chaotic communications involve a tradeo~ betweenstructure and randomness. Chaotic communications typically su~er from low spectral efficiency.IA on the other hand, is meant primarily for improving spectral efficiency. Can IAbe combined with chaotic communications to achieve the best of both worlds ~ i.e., covertnessand high spectral efficiency? To this end, the proposed research explores the structuralrequirements of IA schemes.Tactical wireless networks represent the most challenging communication scenarios. For thesenetworks not only is it important that the communication is reliable, but also these networksshould allow communication at the highest data rate possible while optimally managinginterference from within the network, remaining robust to jamming from outside the network,remaining secure against eavesdropping, and having other desirable characteristics for covertcommunications such as low probability of intercept (LPI) and low probability of detection(LPD). Optimal network design principles are especially important for these networks thatare often expected to operate close to their performance limits in order to maintain aninformation advantage that is critical to modern defense operations. Theoretical advanceswithin the past decade have shown that there is tremendous potential for orders of magnitudeimprovements in the performance of tactical wireless networks. Among the recent advances,the most relevant to this proposal is the idea of interference alignment.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141612629
Entities
People
- Syed Jafar
Organizations
- Naval Information Warfare Center Pacific
- Office of Naval Research
- United States Navy