Clark School Home UMD

ISR News Story

Ulukus Receives NSF Grant for Wireless Networks Research

Prof. Sennur Ulukus
Prof. Sennur Ulukus

Prof. Sennur Ulukus (ECE/ISR) has been awarded a new National Science Foundation (NSF) grant for her research, titled “Delay Minimization in Wireless Networks.” The grant will provide $250,000 in funding over three years.

Traditional information theory investigates transmission problems from a physical layer perspective. Information theory aims to determine largest achievable communication rates between transmitters and receivers for a given physical communication channel. In the simplified source-channel-destination model, information-theoretic approaches assume the availability of an infinite number of bits at the transmitters before the transmission starts. The burstiness of the arrivals and the associated issue of delay are mostly ignored. In contrast, network theory gives sophisticated analysis of network layer issues, such as random arrivals and network delay. However, in network-theoretic approaches, the underlying physical layer model is usually very simplified, e.g., in most approaches simultaneous transmissions are not allowed, and even when they are allowed, a collision channel model is used, which is far too simplistic to capture what can be achieved in the physical layer from an information-theoretic perspective.

This project aims to develop a fundamental understanding for the issue of delay in networks, and design transmission methods and scheduling algorithms to minimize delay in network communications. Towards this goal, this project combines techniques from information theory, network theory, queueing theory and optimization theory. The investigators use information-theoretic techniques to improve the underlying information carrying rates, together with queueing- and network-theoretic tools to allocate these rates to network users considering external arrival rates and current queue sizes. Further, the investigators incorporate physical layer phenomena such as fading (enabling opportunistic transmissions) and overheard information (enabling cooperation) into this development. In addition, in networking applications where nodes are able to harvest energy from nature, the investigators consider the interactions between the random packet arrivals and the random energy arrivals (through harvesting) to nodes, in designing the transmission and scheduling mechanisms.

For more information, visit the NSF website.

August 28, 2010


Prev   Next

 

 

Current Headlines

Clark School Participates in Solar Eclipse

Researchers part of two NSF Neural & Cognitive Systems grants worth more than $1.2 million

ISR researchers win additional $948K NSF Neural and Cognitive Systems grant

Schonfeld, Ryzhov team up for NSF EAGER grant

Yu Named ASME Fellow

Khaligh-led student team wins award at IEEE IFEC competition

Former postdoc Eirini Tsiropoulou named to IEEE ComSoc "rising stars" list

TEDCO Invests $1M into Innovative Companies Including Rajeev Barua’s Startup SecondWrite LLC

Banis wins poster design award at Global Grand Challenges Summit

ISR faculty leading bio-inspired robotics and transportation electrification REUs

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar