Optical Wireless Links as an Alternative to Radio-Frequency for Medical Body Area Networks

Chevalier, Ludovic; Sahuguède, Stéphanie; Julien-Vergonjanne, Anne

doi:10.1109/jsac.2015.2432527

Cited by 42 publications

(34 citation statements)

References 23 publications

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“…The classical Lambertian BRDF is used for the materials [11] while taking into account the wavelength dependency of their reflectivity as in [18], [57]. The body itself is assumed to be absorbent, given the low reflectivity of skin, compared to that of the walls [58]. Note that by assuming an absorbing body, we are considering the worst-case scenario where we have the maximum effect of beam shadowing.…”

Section: Environment Description and Parameters Specificationmentioning

confidence: 99%

Channel Characterization and Modeling for Optical Wireless Body-Area Networks

Haddad

Khalighi

Zvánovec

et al. 2020

IEEE Open J. Commun. Soc.

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We address channel characterization and modeling for medical wireless body-area networks (WBANs) based on the optical wireless technology. We focus on the intra-WBAN communication links, i.e., between a set of medical sensors and a coordination node, placed on the patient's body. We consider a realistic mobility model, e.g., inside a hospital room, which takes into account the effect of shadowing due to body parts movements and the variations of the underlying channels. To take into account the global and local user mobility, we consider a dynamic model based on a three-dimensional animation of a walk cycle, as well as walk trajectories based on an improved random way-point mobility model. Then, Monte Carlo ray-tracing simulations are performed to obtain the channel impulse responses for different link configurations at different instants of the walk scenarios. We then derive first-and second-order statistics of the channel parameters such as the channel DC gain, delay spread, and coherence time, and furthermore, propose best fit statistical models to describe the distribution of these parameters for a general scenario.

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Section: Environment Description and Parameters Specificationmentioning

confidence: 99%

Channel Characterization and Modeling for Optical Wireless Body-Area Networks

Haddad

Khalighi

Zvánovec

et al. 2020

IEEE Open J. Commun. Soc.

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“…The Tx (i.e., the CN) is considered to be placed on the shoulder of each patient, which has been shown in [36] to be an appropriate choice due to the patient comfort and also the relatively high probability of having a LOS connection with the AP(s), placed on the ceiling. Unless otherwise specified, only one single AP, placed at the center of the room ceiling, is assumed in the sequel.…”

Section: System Description a General Assumptionsmentioning

confidence: 99%

Performance Analysis of Optical-CDMA for Uplink Transmission in Medical Extra-WBANs

et al. 2020

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This paper considers the use of infrared wireless communications for uplink transmission in extra wireless body-area networks. We focus on a multiuser medical application, where the collected medical data of several patients inside a hospital room is transmitted to one or several access points (APs). For this uplink transmission, we investigate the performance of optical code-division multiple access in asynchronous mode, while taking into account the effect of random transmitter orientation. For this purpose and to consider realistic scenarios, we implement an orientation-based random waypoint mobility model to consider the mobility of patients inside a hospital ward. Performance evaluation is done in terms of the link average bit-error-rate and outage probability. We further investigate the performance improvement by using several APs, compared with the case of a single AP. INDEX TERMS Wireless body area networks; Medical WBAN; Telemedicine; Wireless optical communications; Infrared data transmission; Optical code-division multiple access; Random waypoint model; Binary pulse-position modulation.

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“…Among the specifications of medical remote monitoring applications, it can be noted that the bit rates are generally less than 10 Mbps but with a rather high quality of service [6]. For this low data rates and considering typical impulse responses length and mean delay spreading, we can neglect inter-symbol interference in both IR and VLC cases.…”

Section: Table I Vlc System Parametersmentioning

confidence: 99%

“…Involved in OWC field for medium and low-rate medical applications, we have developed skills and dedicated tools to address the modelling of indoor optical wireless channels applied to Body Sensor Networks (BSN) [6]. By using robust mathematical models (Monte-Carlo, Metropolis, etc.…”

Section: Introductionmentioning

confidence: 99%

Infrared and visible links for medical body sensor networks

Lebas

Sahuguède

Julien-Vergonjanne

et al. 2018

2018 Global LIFI Congress (GLC)

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Abstract-Our previous studies focused on channel simulation and performance evaluation of optical wireless links for medical body sensor networks. This allowed us to increase our expertise in this field and to propose here a full optical wireless bidirectional system named as LiFi communication system for medical monitoring applications. The full duplex bidirectional communication is based on an infrared uplink and visible downlink. The studied scenario considers a patient wearing both an infrared transmitter connected to a medical sensor and a visible light receiver. The infrared receivers and visible light emitters are included in light fixtures at the ceiling. The study relies on channel modelling considering patient body features, locations and movements. Using ray-tracing technique associated to MonteCarlo method, we determine the overall performance in terms of outage probability. We apply our methodology considering various medical sensors and show that it is possible to satisfy the overall quality of service in terms of bit error rate and data rate.

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Optical Wireless Links as an Alternative to Radio-Frequency for Medical Body Area Networks

Cited by 42 publications

References 23 publications

Channel Characterization and Modeling for Optical Wireless Body-Area Networks

Channel Characterization and Modeling for Optical Wireless Body-Area Networks

Performance Analysis of Optical-CDMA for Uplink Transmission in Medical Extra-WBANs

Infrared and visible links for medical body sensor networks

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