A high-precision ultra wideband impulse radio physical layer model for network simulation

Rousselot, Jérôme; Decotignie, Jean-Dominique

doi:10.4108/icst.simutools2009.5628

Cited by 3 publications

(2 citation statements)

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“…The narrow band and FM-UWB PHY both use a detailed additive signal to interference plus noise SINR model, and the UWB-IR PHY is modeled at the symbol level (more information can be found in respectively [7] and [9]). Simulations were run long enough to build 95% confidence intervals between ±0.5% for each considered parameter, except for the UWB simulations for which only 90% confidence intervals were built due to the long time required to obtain such values.…”

Section: Methodsmentioning

confidence: 99%

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On the Best Way to Cut a Body Area Network's Wires

Rousselot

Decotignie

2010

2010 IEEE International Conference on Communications

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New technologies can help to develop preventive healthcare, thereby leading to significant life quality improvements. Medical Body Area Networks are expected to become a key element in tomorrow's medical IT infrastructure by enabling the long term collection and analysis of health parameters. For this vision to become a reality, several challenges must be addressed. This work focuses on the technological aspects of ultra low power consumption, low latency and packet error rate. We consider and evaluate state of the art technologies currently under evaluation by the IEEE Standard Association 802.15.6 task group on body area networks, using detailed network simulation models, which have been calibrated with hardware measurements whenever possible and with MATLAB communication link simulations otherwise. We observe that the expected power consumption levels are similar for all considered platforms, and that they are determined mainly by the medium access control protocol. Trade-offs between communications latency, throughput and power consumption are identified. The performance of the Ultra Wideband Impulse Radio system is clearly impacted by its lack of carrier sensing capability. We conclude that the existing technologies are mature enough and that the remaing obstacles to widespread adoption are organizational and societal. Index Terms-UWB, Impulse Radio, FM-UWB, narrow band, body area network, sensor network, 802.15.4A, 802.15.6, healthcare, MAC, ultra low power

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Section: Methodsmentioning

confidence: 99%

“…We decided to use a detailed, symbol-level network simulator specifically developed for the simulation of IEEE 802.15.4A sensor networks [9]. Table I summarizes the key parameters used for all radio transceivers.…”

Section: A Phy Layermentioning

confidence: 99%