• Communications Networks addresses research for the fundamental understanding of wireless communications and human networks. In communications, the program focuses on research to further the understanding of tactical mobile wireless communication for the battlefield of the future. For human networks, identifying structure of networks from diverse data is of particular interest.
  • Network Science and Intelligent Systems (International Program) is focused on supporting research at universities outside of the U.S., with the goal of providing key connections with world-class researchers outside the U.S. and supporting the most forward looking and promising research in network science.

Communications Networks

Dr. Derya Cansever
(919) 549-4330

Research in this area is concerned with the application of communications and network theory, signal processing, and mathematics to enable the fast, accurate, reliable, and efficient transmission of information for the wireless digital battlefield. Due to their low probability of interception, anti-jam, and multiple access characteristics, spread spectrum techniques are important to Army communications, intelligence, surveillance, and target acquisition systems. Methods for design and performance analysis of spread spectrum systems are being studied. The vulnerability of spread spectrum systems to jamming and interference and the use of adaptive electronic counter countermeasures (ECCM) techniques to improve network performance in the presence of jamming and interference are being investigated. Network science is being investigated to understand the fundamental limits of wireless ad hoc networks and the performance of proposed algorithms.

The digital battlefield requires a seamless, ubiquitous, survivable and highly mobile wireless communication system with a highly dynamic network topology. The information communicated ranges from voice to video and includes bursty file transfers for vehicle and aircraft radio, as well as light weight radios carried by Soldiers on foot. The channels are noisy and unreliable due to jamming, mobility, multipath, and multiuser interference. To provide the necessary capability, research is supported in spread spectrum, mobile ad hoc radio networks in the areas of multimedia network architectures, distributed routing, congestion control, and heterogeneous network integration. Research is also supported in adaptive source and channel coding, networking with adaptive antennas, adaptive routing to avoid failed nodes, and power control. Of particular interest is the science of networks as applied to the tactical wireless network problem including an understanding of its performance limits. Finally, of growing interest is the use of the concepts used in cognitive radio applied to the overall network in the emerging area of cognitive networks.

There is a natural interdependence between communications networks and human networks, as seen in the recent emergence of social media websites. Research in human networks emphasizes this interaction between the communications network and the human network. Network structure and dynamics, as well as the effects of the network on information and belief propagation, and prediction of phase changes are also of interest to this program. Mathematical techniques utilized in communications networks and other network analysis, such as network information theory, graph theory, game theory, data mining, and Markov chains, will be leveraged to analyze human networks. This subtask is closely coordinated with the Social and Cognitive Network Task.

Network Science and Intelligent Systems

Dr. Robert Ulman

As one of the ARO International Programs and part of the ARO Network Science Division portfolio, the Network Science and Intelligent Systems program is focused on supporting multidisciplinary research at institutions outside of the U.S., with the goal to accelerate new discoveries in network science and intelligent systems. Potential investigators should contact the Program's Technical Point of Contact for any questions regarding the geographic regions that can be considered for research proposals in this area.


Last Update / Reviewed: April 6, 2017