Channel Measurement and Modeling in Complex Environments

Zhang, Lei

doi:10.20868/upm.thesis.43353

Cited by 7 publications

(14 citation statements)

References 120 publications

(157 reference statements)

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“…However, the main parameters extracted are very sensitive to the propagation environment and may significantly change in different scenarios [4]. Channel measurements in a hospital at 2.4 GHz have been reported in [5], however they are limited to propagation within a patient room and thus do not consider node mobility around the hospital floor. Hence, it becomes necessary to extract the typical values of different parameters in a hospital, taking into account propagation across different hospital areas.…”

Section: Introductionmentioning

confidence: 99%

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

Francisco

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Section: Introductionmentioning

confidence: 99%

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

Francisco

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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“…We call this type of imperfect CSI as FDD-based imperfect CSI (FDD-ICSI). In a WLAN in-hospital environments, the speed of patients is quite low, and the Doppler effect can be ignored [ 19 ]. Therefore, the fourth type of imperfect CSI, FF-ICSI, can be ignored in our analysis.…”

Section: Background Context and Related Workmentioning

confidence: 99%

“…The building materials in a hospital usually have unique characteristics, such as being electromagnetic interference resistant, weather resistant, fire proofing, temperature adaptable, and environment friendly [ 21 ]. Due to the unique characteristics of medical environment, the channel models widely used in general environment are not applicable in medical environment [ 19 ]. Additionally, even in the hospital environment, channel characteristics may also be different when a communication is at different wireless bands, which correspond to different attenuation of communication signals.…”

Section: Background Context and Related Workmentioning

confidence: 99%

An Algorithm That Predicts CSI to Allocate Bandwidth for Healthcare Monitoring in Hospital's Waiting Rooms

Lin

Labeau

2012

International Journal of Telemedicine and Applications

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In wireless healthcare monitoring systems, bandwidth allocation is an efficient solution to the problem of scarce wireless bandwidth for the monitoring of patients. However, when the central unit cannot access the exact channel state information (CSI), the efficiency of bandwidth allocation decreases, and the system performance also decreases. In this paper, we propose an algorithm to reduce the negative effects of imperfect CSI on system performance. In this algorithm, the central unit can predict the current CSI by previous CSI when the current CSI is not available. We analyze the reliability of the proposed algorithm by deducing the standard error of estimated CSI with this algorithm. In addition, we analyze the efficiency of the proposed algorithm by discussing the system performance with this algorithm.

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“…Many research works have been carried out to investigate the characteristics of wireless channel in the area of medical applications by using measurement techniques [12][13][14][15][16]. Otherwise, the simulation technology is attractive because it is far less costly compared to the long, labor-intensive measurement campaigns, and it is easily adapts for different environment setups.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Simulation Technique for Characterizing Wireless Channel in Medical Environments

Lee¹,

Bui²

2013

PIER

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Abstract-The purpose of this paper is to investigate the use of simulation technology for the analysis of wireless propagation channel in medical environments. In this paper, the channel modeling has been carried out by using an effective simulation platform, which combines full-wave Method of Moments and adaptive ray tracing technique. Base on this, the channel characteristics involving both large-scale and small-scale parameters of a wireless network deployed within a hospital environment can be estimated. Also, it is straightforward to predict the levels of electromagnetic field interference produced from the network infrastructure. The simulated results of four scenarios of medical environment, such as the patient room, the operating room, a particular level of the hospital, and the cardiac stress test room, with different wireless technologies used show the advantage and capability of the presented simulation approach.

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Channel Measurement and Modeling in Complex Environments

Cited by 7 publications

References 120 publications

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

Indoor Channel Measurements and Models at 2.4 GHz in a Hospital

An Algorithm That Predicts CSI to Allocate Bandwidth for Healthcare Monitoring in Hospital's Waiting Rooms

Hybrid Simulation Technique for Characterizing Wireless Channel in Medical Environments

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