Intelligent collaborative wireless networks enabled by heterogeneous software-defined radios
Abstract
Demand for wireless services is growing and will continue to grow in the foreseeable future. These services will have a wide range of requirements, such as low latency, high throughput, low energy consumption, and low cost. At the same time, a variety of devices will be available with diverse capabilities in terms of hardware, such as operating frequencies, multiple antennas, error-control coding, interference alignment/cancellation techniques, and sensing capabilities. From the system-level perspective, future communication networks will have to operate in the presence of other networks with possibly different architectures, and share the limited resources in a harmonious way. These networks will have to operate efficiently, and at the same time be adaptive to changes in the environment, robust to unknown parameters and exogenous factors, and flexibly embrace new technologies. This research program will study fundamental problems that arise in wireless networks, and will provide solutions to the multifaceted challenges described above. Our focus is threefold: (1) at the physical, data-link and multiple-access layers, a number of disruptive technologies will be investigated, including flexible radio architectures using software-defined radios, novel error-correcting codes, and the fundamental performance trade-offs of these technologies will be analyzed; (2) at the system level, intelligent adaptive decentralized control algorithms will be investigated that take into account the broad range of capabilities provided by the disruptive technologies at the lower layers, and that rely on a judicious exchange of information to achieve global-scale network goals (such as optimal scheduling, routing, etc.). Furthermore, these algorithms will operate in the presence of selfish network agents who may require appropriate incentives to participate or to cooperate; and (3) the individual research results mentioned above will be integrated in a large-scale system simulation engine, and in addition a small-scale demonstration with USRP radios will be developed.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 25, 2019
- Source ID
- W911NF1810248
Entities
People
- Achilleas Anastasopoulos
Organizations
- Army Contracting Command
- United States Army
- University of Michigan