Abstract
In this work, we propose a novel approach combining 5G network slicing and non-orthogonal multiple access (NOMA) to transmit medical data in a mobile hospital system. We consider both the uplink and downlink of a 5G cellular network with an ambulance bus located at a remote site for data transmission in the uplink scenario and a hospital unit as the receiving site in the downlink scenario. We propose and model a NOMA slicing system where the medical data are categorized and assigned to two different slices based on 5G services. That is, 4K video from patients is assigned to an enhanced mobile broadband (eMBB) NOMA slice in both uplink and downlink, and all other medical data are assigned to an ultra-reliable and low latency communication (uRLLC) NOMA slice also in both uplink and downlink. Based on the system model and principles of NOMA, we formulate and use a joint power allocation optimization technique under users' minimum rate requirements and transmission power constraints, and successive interference cancellation (SIC) to maximize the medical data throughput as well as the system sum-throughput in each slice in both uplink and downlink. Our results show that, with the optimal power allocation technique, high throughput can be achieved for the 4K video and other medical data in the eMBB NOMA slice and uRLLC NOMA slice, respectively, but other users transmitting and receiving ordinary data in the slices will see their throughput decrease. Hence, in the interest of fairness for all users, we use truncated channel inversion power allocation in the downlink to prevent the decrease of the throughput of those users regardless of their channel conditions.
Highlights
With the rapid development in mobile communication, big data, artificial intelligence, and other technologies in recent years, mobile hospitals can carry more advanced medicalThe associate editor coordinating the review of this manuscript and approving it for publication was Lorenzo Mucchi .equipment and apply more intelligent means of diagnosis and treatment, such as online ultra-high-definition video (UHDV) expert diagnosis and treatment, critical emergency nursing, artificial intelligence imaging diagnosis and clinical examination and analysis of big data [1]
1) THROUGHPUTS IN EMBB non-orthogonal multiple access (NOMA) SLICE The sum-throughput and individual throughput of Uer1 and Uer2 in the enhanced mobile broadband (eMBB) NOMA slice under the optimal power allocation are depicted in Fig. 9. the results show that despite the power control applied to all users, higher 4K video throughput and sum-throughput can be effectively achieved at lower channel gain of the ordinary user
This work has proposed a 5G network slicing approach combined with non-orthogonal multiple access (NOMA) to transmit medical data from a remote place to a hospital unit in a mobile hospital system
Summary
With the rapid development in mobile communication, big data, artificial intelligence, and other technologies in recent years, mobile hospitals can carry more advanced medical. With its broadband, high speed, low delay, self-adaptation, and large capacity access capability [4], 5G has the potentials to serve as an effective communication technology approach for the development of mobile hospitals. In [17], a communication-theoretic model involving non-orthogonal sharing of RAN resources in uplink network slicing is studied with the three types of heterogeneous services such as eMBB, uRLLC, and mMTC, and the authors refer the approach to as heterogeneous non-orthogonal multiple access (H-NOMA). They compared the results to the case where orthogonal sharing of the RAN resources is done and called H-OMA.
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