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

Lin, Di; Labeau, Fabrice

doi:10.1155/2012/843527

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…By considering both the urban IoBT environment and widely used channel models, in [21][22][23], the researchers conclude that the channel fading in all line of sight and nonline of sight cases can be modeled as Nakagami distributions with particular parameters. The Nakagami distribution can be used to capture the changes of signal amplitude after channel fading in an urban IoT scenario.…”

Section: System Modelmentioning

confidence: 99%

Dynamic Resource Allocation in an Adversarial Urban IoBT Environment

Lin

2022

Wireless Communications and Mobile Computing

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The advances of the Internet of Battlefield Things (IoBT) would improve the flexibility and efficiency of military operations. Without an effective dynamic adversarial mechanism, soldier devices might malfunction, and machine intelligence technologies could hardly support military operations on a battlefield. In this paper, we propose a game theoretical model considering the adversarial and dynamic nature of the urban IoBT environment. Our algorithm is designed to optimize the whole network’s efficiency with the premise that both the attacking and defending parties can maximize their benefit. Meanwhile, we also attempt to consider the interactive effects of channel fading by using a Nakagami distribution based Markov process. The experimental results show that considering the impact of the adversarial and dynamic nature of urban IoBT, our proposed algorithm can improve network performance by 30%-50%.

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Section: System Modelmentioning

confidence: 99%

Dynamic Resource Allocation in an Adversarial Urban IoBT Environment

Lin

2022

Wireless Communications and Mobile Computing

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“…The works in [20][21] both focus only on the case of a WLAN serving patients specifically within a medical facility, i.e., they do not consider the case of a patient using a WLAN to transmit telemedicinerelated video or data outside a hospital. Also, [21] proposes the use of medical data transmission only when video is not being transmitted, or alternatively the use of extra, special subcarriers for the transmission of medical data. Our work considers non-dedicated WLANs and does not require extra subcarriers for parts of the transmitted traffic.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Scheduling for telemedicine traffic transmission over WLANs

Koutsakis

2017

Computer Communications

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The major disadvantage of the Enhanced Distributed Channel Access (EDCA, the contention-based channel access function of 802.11e) is that it is unable to guarantee priority access to higher priority traffic in the presence of significant traffic loads from low priority users. This problem is enhanced by the continuously growing number of multimedia applications and the popularity of Wireless Local Area Networks (WLANs). Hence, solutions in scheduling multimedia traffic transmissions need to take into account both the Quality of Service (QoS) requirements and the Quality of Experience (QoE) associated with each application, especially those of urgent traffic, like telemedicine, which carries critical information regarding the patients' condition. In this work, we propose an easy-to-implement token-based and self policing-based scheduling scheme combined with a mechanism designed to mitigate congestion. Our approach is shown to guarantee priority access to telemedicine traffic, to satisfy its QoS requirements (delay, packet dropping) and to offer high telemedicine video QoE while preventing bursty video nodes from over-using the medium.

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“…Maximization of the capacity of the e-Health network has been proposed in [17] by optimally allocating the bandwidth. Resource allocation problem for healthcare services over heterogeneous multi-hop wireless networks has been investigated in [18].…”

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confidence: 99%

Resource Allocation in Hospital Networks Based on Green Cognitive Radios

Liu

Iqbal

Naeem

et al. 2015

Wireless Pers Commun

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Pervasive wireless communication and computing can facilitate a variety of ehealth applications to communicate patient medical data and information to the doctors/caregivers in an e-Health environment. With the advancement of medical devices and practicing methods the concept of in-cooperating latest communication techniques have taken a new direction by enabling cognitive radio networks in e-Health applications. This paper presents an approach to solve the joint call admission control and power allocation problem in a hospital environment based on green cognitive radio. Specifically, a multiobjective non-convex mixed integer non-linear programming (MINLP) problem of wireless access in an indoor hospital environment is formulated to maximize the number of admitted secondary users and minimize transmit power and carbon dioxide emission. Along with that the throughput requirement of all secondary users and interference constraints for the protected and primary users are also satisfied. In this paper, we invoke outer approximation approach based linearization technique to solve MINLP problem. The proposed method gives guaranteed e convergence to the optimal solution results with reasonable computational complexity. Simulation results verify the effectiveness of the proposed approach method.

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

Cited by 3 publications

References 28 publications

Dynamic Resource Allocation in an Adversarial Urban IoBT Environment

Dynamic Resource Allocation in an Adversarial Urban IoBT Environment

Scheduling for telemedicine traffic transmission over WLANs

Resource Allocation in Hospital Networks Based on Green Cognitive Radios

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