Small Cell-based Ambulance Scenario for Medical Video Streaming: A 5G-health use case
- Submitting institution
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Ravensbourne University London
- Unit of assessment
- 32 - Art and Design: History, Practice and Theory
- Output identifier
- AA03
- Type
- E - Conference contribution
- DOI
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10.1109/HONET.2018.8551336
- Title of conference / published proceedings
- 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)
- First page
- 29
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- Request cross-referral to
- 11 - Computer Science and Informatics
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The output is an invited contribution following a conference presentation.
Medical Video streaming from an ambulance can save lives because doctors at the hospital can evaluate vital information of a patient before they arrive at the hospital. The results of the ultrasound video can be transmitted in real time using 5G networks. The paper looked at the investigation of the impact of small cell heterogeneous networks for medical video streaming as an example of m-health application in the uplink direction. The project looked at the performance of small cell based 5G network in an ambulance scenario where the paramedic staff could transmit the patient information in real time. The study looked at the Quality of Service compared to a traditional macrocell based network currently in use by the healthcare sector.
The research took just over 3 years and the process included working on a test bed developed especially for this purpose and a number of simulation tools were used to evaluate the performance and outcomes.
The results of the proposed scenario show that the m-QoS key performance indicators (e.g., packet loss, throughput, and delay) in a mobile small cell-based ambulance scenario outperform the traditional macrocell network scenario. Hence, improving the network performance of the paramedic staff inside the ambulance can facilitate in robust delivery of emergency m-health services, such as real-time remote consultations and diagnosis.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -