Abstract
Wireless technologies are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario is the electromagnetic interference (EMI) caused by RF transmission, and a high level of EMI may lead to a critical malfunction of medical sensors. In consideration of EMI on medical sensors, we study the optimization of quality of service (QoS) within the whole Internet of vehicles for E-health and propose a novel model to optimize the QoS by allocating the transmit power of each user. Our results show that the optimal power control policy depends on the objective of optimization problems: a greedy policy is optimal to maximize the summation of QoS of each user, whereas a fair policy is optimal to maximize the product of QoS of each user. Algorithms are taken to derive the optimal policies, and numerical results of optimizing QoS are presented for both objectives and QoS constraints.
Highlights
Recent developments in cellular networks have enabled ubiquitous applications of E-health with the aid of medical sensors
We address the problem of optimizing the quality of network service in a mobile hospital environment and propose the algorithm of power control to achieve the optimal network service
We consider the setting of optimizing quality of service (QoS) in a network of mobile hospital, in which a user receives both signal from base station and the noise from the other users
Summary
Recent developments in cellular networks have enabled ubiquitous applications of E-health with the aid of medical sensors. RF transmission in cellular networks can result in electromagnetic interference (EMI) to medical sensors and a high level of interference can cause malfunction of medical sensors and even injure patients [1, 2]. The control of EMI (e.g., through power control) is a critical issue to E-health and should be investigated under the environment of mobile hospital, which is defined as Internet of vehicles for E-health applications throughout this paper. We use the terms of mobile hospital and Internet of vehicles for E-health applications
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