Low Computational Artificial Intelligence Genetic Algorithm Assisted SLM PAPR Reduction Technique for Upcoming 5G Based Smart Hospital

Кумар, Арун; Bhargav, Avireni; Karthikeyan, Anitha; Srinivasan, Ashokkumar; Tsegay, Adhena Nigus

doi:10.1007/978-981-15-7571-6_25

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Even in emerging countries and hard-to-reach areas, a lack of data access is no longer a serious problem. To improve the situation further, research is being conducted on the use of a low peak-to-average power ratio, an efficient spectrum, low latency, and faster data compression and delivery [21].…”

Section: High-speed Communication Network-based Servicesmentioning

confidence: 99%

Review of Smart Hospital Services in Real Healthcare Environments

Kwon

Lee

et al. 2022

Healthc Inform Res

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Objectives: Smart hospitals involve the application of recent information and communications technology (ICT) innovations to medical services; however, the concept of a smart hospital has not been rigorously defined. In this study, we aimed to derive the definition and service types of smart hospitals and investigate cases of each type. Methods: A literature review was conducted regarding the background and technical characteristics of smart hospitals. On this basis, we conducted a focus group interview with experts in hospital information systems, and ultimately derived eight smart hospital service types.Results: Smart hospital services can be classified into the following types: services based on location recognition and tracking technology that measures and monitors the location information of an object based on short-range communication technology; high-speed communication network-based services based on new wireless communication technology; Internet of Things-based services that connect objects embedded with sensors and communication functions to the internet; mobile health services such as mobile phones, tablets, and wearables; artificial intelligence-based services for the diagnosis and prediction of diseases; robot services provided on behalf of humans in various medical fields; extended reality services that apply hyper-realistic immersive technology to medical practice; and telehealth using ICT. Conclusions: Smart hospitals can influence health and medical policies and create new medical value by defining and quantitatively measuring detailed indicators based on data collected from existing hospitals. Simultaneously, appropriate government incentives, consolidated interdisciplinary research, and active participation by industry are required to foster and facilitate smart hospitals.

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Section: High-speed Communication Network-based Servicesmentioning

confidence: 99%

Review of Smart Hospital Services in Real Healthcare Environments

Kwon

Lee

et al. 2022

Healthc Inform Res

View full text Add to dashboard Cite

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“…Initially, it examines the variations in PAPR among UFMC scheme and an orthogonal frequency division multiplexing method is used. Kumar et al [8] presented a new PAPR reduction method that is most common requirement of 5G-based smart hospitals. The genetic algorithm (GA) with SLM called GA-SLM is recommended to reduce PAPR of NOMA scheme.…”

Section: Literature Reviewmentioning

confidence: 99%

Novel Selective Mapping with Oppositional Hosted Cuckoo Optimization Algorithm for PAPR Reduction in 5G UFMC Systems

Jayamathi*¹,

Jayasankar

Kumar

2022

Teh. vjesn.

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In recent times, there is a continuous requirement of achieving high data rates owing to an increase in the number of devices and significant demand for various services with maximum reliability and minimum delay. It results in the development of fifth generation (5G) to offer better services with enhanced data rate. Recently, a major alternative to OFDM technology for 5G networks called universal filtered multi-carrier (UFMC) is presented where every individual sub-band is filtered that reduces the OOB radiation and eliminates guard band. But high peak-to-average power ratio (PAPR) is a crucial issue which arises from the utilization of several subcarriers to generate the time domain transmission signal. For resolving this issue, this paper presents a novel selective mapping with oppositional hosted cuckoo optimization (SM-OHOCO) algorithm for PAPR reduction in 5G UFMC systems. In the SM-OHOCO algorithm, rather than the generation of several random phase sequences, SM-OHOCO algorithm is performed iteratively to attain a better solution with few searching rounds, showing the novelty of the work. As the optimization of phase sequence in the SLM technique is considered as an NP hard optimization problem, the OHOCO algorithm is applied, which is derived by incorporating the concepts of the HOCO algorithm with oppositional based learning (OBL) strategy. To validate the effective performance of the proposed SM-OHOCO algorithm, an extensive experimental analysis is performed to highlight the improved performance in 5G networks. The resultant values pointed out the superior outcome of the proposed SM-OHOCO algorithm over the other existing methods in terms of distinct measures

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