Future 5G Network Based Smart Hospitals: Hybrid Detection Technique for Latency Improvement

Sunghwan Kim,Mohammed H Alsharif,Manoj Gupta,Mahmoud A Albreem,Arun Kumar

doi:10.1109/access.2020.3017625

Sunghwan Kim, Mohammed H Alsharif + Show 3 more

Open Access

https://doi.org/10.1109/access.2020.3017625

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Abstract

With the rapid increase in the development of a cellular communication system, remote health monitoring and smart health care are improving and getting through a swift transformation. Currently, we are utilizing the advance long term evolution (A-LTE) network to support the modern health care. Nevertheless, smart hospital/health concern is not fully evolved all around the world. The rollout of the fifth generation (5G) will improve the standard of the smart health care. However, requirements of a smart hospital will be different as compared to other applications such as education, industries, and the public. The smart hospital will be connected 24/7, with several small devices integrated with the sensors. In simple words, the future smart hospital will be based on the 5G and the internet of things (IoT), expected to augment the system coverage, effectiveness, and throughput of the system. Further, high speed, low latency, spectral efficiency, and low energy consumption are the requirements of the 5G based modern hospital. In this correspondence, we focused to improve the latency, spectrum, and throughput of the 5G network by implementing a hybrid detection technique based on the QR decomposition and the M algorithm-maximum likelihood detection (QRM-MLD) and beamforming (BF) for massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) system. In addition, a comparison between the proposed and conventional detection techniques is presented. The proposed hybrid detection technique improves the throughput of the system and reduces the computational complexity as compared to the conventional QRM-MLD algorithm, conventional BF and zero-forcing (ZF) techniques on the platform of several parameters i.e. complexity, bit error rate (BER), peak power, etc.

Highlights

Medical health care is one of the important concerns of the present world
From (10), it is concluded that M divisions are deliberated as a replacement for the MC
In directive to further enhancement in the bit error rate (BER) performance of detection techniques, we have considered 64x64 antennas at the transmitter and receiver part of the 256QAM-non-orthogonal multiple access (NOMA) system

Summary

Introduction

Medical health care is one of the important concerns of the present world. The lack of proper infrastructure, poor health care legislation, and insufficient resources, create a worry regarding the quality of service in health care. Researchers, academicians, and engineers are trying to utilize the mobile service in health care but so far, it is failing due to several reasons such as poor network coverage, high latency, lack of spectrum, and low data speed. It is a fact that technology can play an important role to improve the health care system. The emerging technologies in the fifth generation (5G) and beyond 5G (B5G) systems such as the internet of things (IoT), massive multipleinput multiple-output (MIMO), and smart antennas are being planned to upgrade the health care service and to reduce the patients’ struggle while reducing the budget expenses payable in medical care. Since several users will be accessing the network 24/7 in the

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