Research Article
Evaluation of cross-layer interactions for reconfigurable radio platform
@INPROCEEDINGS{10.1145/1234388.1234397, author={Troy Weingart and Douglas C. Sicker and Dirk Grunwald}, title={Evaluation of cross-layer interactions for reconfigurable radio platform}, proceedings={1st International ICST Workshop on Technology and Policy for Accessing Spectrum}, publisher={ACM}, proceedings_a={TAPAS}, year={2006}, month={8}, keywords={Optimization Cross-layer Cognitive Radio Software-defined Radio Adaptive Wireless System.}, doi={10.1145/1234388.1234397} }
- Troy Weingart
Douglas C. Sicker
Dirk Grunwald
Year: 2006
Evaluation of cross-layer interactions for reconfigurable radio platform
TAPAS
ACM
DOI: 10.1145/1234388.1234397
Abstract
The flexibility of cognitive and software defined radio heralds an opportunity for researchers to reexamine how network protocol layers operate with respect to providing quality of service aware transmission among wireless nodes. This opportunity is enhanced by the continued development of spectrally responsive devices; ones that can detect and respond to changes in the radio frequency environment. Present wireless network protocols define reliability and other performance related tasks narrowly within layers. For example, the frame size employed on 802.11 can substantially influence the throughput, delay and jitter experienced by an application, but there is no simple way to adapt this parameter. Furthermore, while the data link layer of 802.11 provides error detection capabilities across a link, it does not specify additional features, such as forward error correction schemes, nor does it provide a means for throttling retransmissions at the transport layer (currently the data link and transport layer can function counterproductively with respect to reliability). This paper presents analysis on the interaction of physical, data link and network layer parameters with respect to throughput, bit error rate, delay and jitter. This analysis relies on Design of Experiment (DOE) techniques to determine the relationships among input and output variables. With this technique, we are able to demonstrate statistically significant single and multi-factor interactions. The goal of this analysis is to identify opportunities where systems designers might exploit cross-layer interactions to improve the performance of Voice over IP (VoIP), Instant Messaging (IM) and file transfer applications.
The views expressed in this article are those of the author and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government.