A New Frontier in Tactical Communication Networks: Unlocking Spectral Efficiencies by Exploiting Information Dependencies
Abstract
The goal of this proposal is to find ways to exploit an important feature of tactical communication networks {dependencies in infor"mation fol ws. An abundance of multicast traffic, focuson a shared mission, and the growing potential for collaborative data process"ing combine to create dependencies among the messages and side-information available at distributed nodes in a tactical communication network. These dependencies blur the distinction between desired information and interference that is the basis for conventional interference management approaches. Evensome the most recent ideas such as interference alignment rely strongly on the distinction b"etween interference, which needs to be consolidated into the smallest space possible, and desired signals, which need to be kept sep""arate. Therefore, in order to unlock new spectral efficiencies inherent in the dependencies of information fol wthe proposed researc"h broadens the interference alignment perspective into an information alignment perspective. The study of information alignment is i"nitiated through the two questions { what information should be sent, and alongwhich signaling dimensions relative to the channels?"" The former is essentially a source coding question, the latter a channel coding question. The source coding question mainly seeks w""ays to exploit the diversity of side information for information alignment, while the channel coding question seeks ways to exploit" the diversity of channel realizations for information alignment. Ultimately these questions are coupled. Accordingly the proposed r"esearch is organized intothree thrusts. Taking the source coding perspective, the goal in the first thrust is to exploit dependenci"es in themessages desired by various users and the side-information that is available to them in order to optimally compress the information that needs to be sent into the network. A representative example is the generalized index coding problem with correlated messages and side-information. The second research thrust takes a channel coding perspective to find ways to optimize signal spaces i"n order to exploit dependencies inherent in information fol ws. Starting from dege of freedom studies, this research thrust involves" the study of progressive capacity approximations for a variety of network topologies when the message sets and side-information are" arbitrarily correlated, under varying degrees of channel uncertainty at thetransmitters. The third research thrust takes a joint s"ource-channel coding perspective by jointly exploiting diversity of side-information for source coding and diversity of channel realizations for channel coding. The focus is on extracting synergistic gains from the combination of source and channel coding perspect"ives. The proposed research will build insights initially from canonical channel models such as the MIMO broadcast, interference and"" X channels, and by studying linear dependencies and then build upon these insights to explore generalizations to arbitrary channel" and dependency models.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 20, 2017
- Source ID
- N000141812057
Entities
People
- Syed Jafar
Organizations
- Naval Information Warfare Center Pacific
- Office of Naval Research
- United States Navy