Low Latency Wireless Networks for Mission Critical Communications
Abstract
Increasingly wireless data services extend beyond traditional best-effort communication to enhanced data applications such as interactive video, real-time multimedia streaming, high-throughput data access and Voice-over-IP. Additionally, the United States military greatly relies on wireless communications for its operations, including command, control, surveillance, reconnaissance, and targeting system. Invariably, meeting the quality-of-service (QoS) requirements of these applications translates into strict delay and throughput constraints. However, meeting such requirements over an unreliable wireless channel is a very challenging task, due to mobility, time-varying channel quality, energy and power limitations, and packet losses. Our goal is to develop transmission scheduling schemes for traffic with both latency and throughput requirements. We propose to develop new approaches for supporting delay sensitive traffic over multi-hop wireless networks subject to interference constraints. In particular, we plan to develop routing and scheduling schemes for delay constrained traffic over multi-hop wireless networks using a combination of machine-learning, optimization, and stochastic control techniques. Our proposed research include the following interdependent goals: 1) Develop transmission scheduling schemes for real-time traffic over wireless networks subject to interference constraints. We will consider both combinatorial interference models (as described by link activation sets) as well as SINR-based interference models. 2) Develop joint routing and scheduling schemes for multi-hop networks with delay constraints. 3) Develop delay sensitive routing schemes for hybrid networks, consisting of wired, wireless, and ``black-box" components. 4) Develop a utility optimization framework for networks with delay constraints.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710508
Entities
People
- Eytan Modiano
Organizations
- Army Contracting Command
- Massachusetts Institute of Technology
- United States Army