基于小蜂窝的医疗视频流救护场景:5g健康用例

I. Rehman, Moustafa M. Nasralla, Ajaz Ali, N. Philip
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引用次数: 22

摘要

相信在未来网络(如5G)中,小型蜂窝将发挥重要作用,以满足用户在流量、频率效率、节能和降低成本方面的高要求。小型蜂窝网络是成功部署移动医疗(m-health)应用程序的新范例。它可以提高室内、室外和车载移动医疗终端用户(例如患者和医疗保健专业人员)的医疗服务质量(m-QoS)和医疗体验质量(m-QoE)。本文的三个主要贡献是:1)以上行方向移动健康应用为例,研究了小蜂窝异构网络对医疗视频流的影响。2)引入一个重要的移动医疗用例(即救护车场景)及其系统模型和技术要求,以及3)提供受数据包丢失和不同网络影响的医疗视频序列的网络性能分析,作为基准,使研究人员能够测试其医疗视频质量评估算法。我们提出的场景的结果通过模拟表明,移动小蜂窝救护车场景中的m-QoS关键性能指标(例如,丢包、吞吐量和延迟)优于传统的宏蜂窝网络场景。因此,提高救护车内护理人员的网络性能可以促进提供强有力的紧急移动保健服务,如实时远程咨询和诊断。
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Small Cell-based Ambulance Scenario for Medical Video Streaming: A 5G-health use case
It is believed that small cells will play a significant role in future networks (e.g., 5G) to meet the high user requirements in traffic volume, frequency efficiency, and energy and cost reduction. The small cell network is a new paradigm for the successful deployment of mobile healthcare (m-health) applications. It can enhance the medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE) for indoor, outdoor, and vehicular m-health end-users (e.g., patients and healthcare professionals). The three major contributions of the paper are: 1) 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. 2) introducing an important m-health use case (i.e., an ambulance scenario) along with its system model and technical requirements, and 3) the provision of a network performance analysis for medical video sequences affected by packet losses and different networks as a benchmark to enable researchers to test their medical video quality evaluation algorithms. The results of our proposed scenario show through simulation 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.
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