Journal articles on the topic 'EHealth and beyond 5G'

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1

Suraci, Chiara, Sara Pizzi, Antonella Molinaro, and Giuseppe Araniti. "Business-Oriented Security Analysis of 6G for eHealth: An Impact Assessment Approach." Sensors 23, no. 9 (April 23, 2023): 4226. http://dx.doi.org/10.3390/s23094226.

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Following the COVID-19 outbreak, the health sector is undergoing a deep transformation that is increasingly pushing it towards the exploitation of technology, thus fostering the growth of digital health (eHealth). Cellular networks play a pivotal role in promoting the digitalization of healthcare, and researchers are banking on beyond fifth-generation (B5G) and sixth-generation (6G) technologies to reach the turning point, given that, according to forecasts, 5G will not be able to meet future expectations. Security is an aspect that definitely should not be overlooked for the success of eHealth to occur. This work aims to address the security issue from a poorly explored viewpoint, namely that of economics. In this paper, we first describe the main eHealth services, highlighting the key stakeholders involved. Then, we discuss how next-generation technologies could support these services to identify possible business relationships and, therefore, to realize an innovative business-oriented security analysis. A qualitative assessment of the impact of specific security breaches in diverse business conditions is provided. Moreover, we examine a case study in order to show the effects of security attacks in a definite scenario and discuss their impact on business dynamics.
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Murthy, Chandra R., and Rajesh Sundaresan. "5G and Beyond." Journal of the Indian Institute of Science 100, no. 2 (April 2020): 259–61. http://dx.doi.org/10.1007/s41745-020-00161-w.

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Ashaba, Justus, and Josephine Nabukenya. "Beyond monitoring functionality to results evaluation of eHealth interventions: Development and validation of an eHealth evaluation framework." Health Informatics Journal 28, no. 4 (October 2022): 146045822211418. http://dx.doi.org/10.1177/14604582221141834.

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Evidencing eHealth interventions, benefits generates data as a basis for assessing whether observed changes in behavior, processes or healthcare outcomes can be attributed to the eHealth interventions. Generating such evidence requires the use of frameworks or some other type of organizing schemes to help in guiding the process and making sense of eHealth systems and the findings. The frameworks available in literature do not clearly guide on how to monitor eHealth implementation and evaluate eHealth implementation results. This study aimed to develop and validate an eHealth evaluation framework to guide the process of monitoring eHealth implementations and evaluation of eHealth results in terms of outcomes and impact on healthcare in developing countries. The Design Science Research Methodology was followed to conduct this study. Recommendations from an eHealth evaluation exploratory study in Uganda and other eHealth evaluation literature formed key inputs into the design and development of the framework. The framework consists of a generic reference model with eHealth monitoring and evaluation dimensions, performance indicators, and guidelines on how to conduct eHealth monitoring and evaluation. The eHealth evaluation framework received high acceptance (>80%) as regards its fitness for purpose during its validation.
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DAHLMAN, Erik, Gunnar MILDH, Stefan PARKVALL, Patrik PERSSON, Gustav WIKSTRÖM, and Hideshi MURAI. "5G Evolution and Beyond." IEICE Transactions on Communications E104.B, no. 9 (September 1, 2021): 984–91. http://dx.doi.org/10.1587/transcom.2020fgi0001.

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Kao, Hsiao-Wen, and Eric Hsiao-Kuang Wu. "QoE Sustainability on 5G and Beyond 5G Networks." IEEE Wireless Communications 30, no. 1 (February 2023): 118–25. http://dx.doi.org/10.1109/mwc.007.2200260.

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Li, Xiaoqian. "Understanding eHealth Literacy From a Privacy Perspective: eHealth Literacy and Digital Privacy Skills in American Disadvantaged Communities." American Behavioral Scientist 62, no. 10 (July 9, 2018): 1431–49. http://dx.doi.org/10.1177/0002764218787019.

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Despite the importance of eHealth literacy in the eHealth domain, studies on the antecedents of eHealth literacy, especially through a privacy lens, are still limited. Using a door-to-door paper-and-pencil household census of public housing communities in a major American city, this study examines how eHealth literacy varies by digital privacy skills that go beyond frequency of Internet activities among members of such disadvantaged communities. Results show that proficiency in digital privacy skills plays a positive and direct role in influencing levels of eHealth literacy. In addition, proficiency in digital privacy skills mediates the positive relationship between frequency of Internet activities and levels of eHealth literacy. This study offers a refined understanding of eHealth literacy from a privacy perspective.
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Agiwal, Anil, and Mamta Agiwal. "Enhanced Paging Monitoring for 5G and Beyond 5G Networks." IEEE Access 10 (2022): 27197–210. http://dx.doi.org/10.1109/access.2022.3157874.

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Pervaiz, Haris, Muhammad Ali Imran, Shahid Mumtaz, Anwer-al Dulaimi, and Nikolaos Thomos. "Editorial: Spectrum extensions for 5G and beyond 5G networks." Transactions on Emerging Telecommunications Technologies 29, no. 10 (October 2018): e3519. http://dx.doi.org/10.1002/ett.3519.

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van Velsen, Lex, Geke Ludden, and Christiane Grünloh. "The Limitations of User-and Human-Centered Design in an eHealth Context and How to Move Beyond Them." Journal of Medical Internet Research 24, no. 10 (October 5, 2022): e37341. http://dx.doi.org/10.2196/37341.

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Human-centered design (HCD) is widely regarded as the best design approach for creating eHealth innovations that align with end users’ needs, wishes, and context and has the potential to impact health care. However, critical reflections on applying HCD within the context of eHealth are lacking. Applying a critical eye to the use of HCD approaches within eHealth, we present and discuss 9 limitations that the current practices of HCD in eHealth innovation often carry. The limitations identified range from limited reach and bias to narrow contextual and temporal focus. Design teams should carefully consider if, how, and when they should involve end users and other stakeholders in the design process and how they can combine their insights with existing knowledge and design skills. Finally, we discuss how a more critical perspective on using HCD in eHealth innovation can move the field forward and offer 3 directions of inspiration to improve our design practices: value-sensitive design, citizen science, and more-than-human design. Although value-sensitive design approaches offer a solution to some of the biased or limited views of traditional HCD approaches, combining a citizen science approach with design inspiration and imagining new futures could widen our view on eHealth innovation. Finally, a more-than-human design approach will allow eHealth solutions to care for both people and the environment. These directions can be seen as starting points that invite and support the field of eHealth innovation to do better and to try and develop more inclusive, fair, and valuable eHealth innovations that will have an impact on health and care.
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Qian, Yi. "Beyond 5G Wireless Communication Technologies." IEEE Wireless Communications 29, no. 1 (February 2022): 2–3. http://dx.doi.org/10.1109/mwc.2022.9749229.

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Silva, Mário Marques da, and João Guerreiro. "On the 5G and Beyond." Applied Sciences 10, no. 20 (October 12, 2020): 7091. http://dx.doi.org/10.3390/app10207091.

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This article provides an overview of the fifth generation of cellular communications (5G) and beyond. It presents the transmission techniques of current 5G communications and those expected of future developments, namely a brief study of non-orthogonal multiple access (NOMA) using the single carrier with frequency domain equalization (SC-FDE) block transmission technique, evidencing its added value in terms of spectral efficiency. An introduction to the sixth generation of cellular communications (6G) is also provided. The insertion of 5G and 6G within the Fourth Industrial Revolution framework (also known as Industry 4.0) is also dealt with. Consisting of a change in paradigm, when compared to previous generations, 5G supports a myriad of new services based on the Internet of things (IoT) and on vehicle-to-vehicle (V2V) communications, supporting technologies such as autonomous driving, smart cities, and remote surgery. The new services provided by 5G are supported by new techniques, such as millimeter waves (mm-wave), in addition to traditional microwave communication, and by massive multiple-input multiple-output (m-MIMO) technology. These techniques were not employed in the fourth generation of cellular communications (4G). While 5G plays an important role in the initial implementation of the Fourth Industrial Revolution, 6G will address a number of new services such as virtual reality (VR), augmented reality (AR), holographic services, the advanced Internet of things (IoT), AI-infused applications, wireless brain–computer interaction (BCI), and mobility at higher speeds. The current research on systems beyond 5G indicates that these applications shall be supported by new MIMO techniques and make use of terahertz (THz) bands.
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Ahmad, Ijaz, Shahriar Shahabuddin, Tanesh Kumar, Jude Okwuibe, Andrei Gurtov, and Mika Ylianttila. "Security for 5G and Beyond." IEEE Communications Surveys & Tutorials 21, no. 4 (2019): 3682–722. http://dx.doi.org/10.1109/comst.2019.2916180.

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Lloret, Jaime, Lorena Parra, Miran Taha, and Jesus Tomás. "An architecture and protocol for smart continuous eHealth monitoring using 5G." Computer Networks 129 (December 2017): 340–51. http://dx.doi.org/10.1016/j.comnet.2017.05.018.

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Leyva-Mayorga, Israel, Beatriz Soret, Maik Roper, Dirk Wubben, Bho Matthiesen, Armin Dekorsy, and Petar Popovski. "LEO Small-Satellite Constellations for 5G and Beyond-5G Communications." IEEE Access 8 (2020): 184955–64. http://dx.doi.org/10.1109/access.2020.3029620.

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Abdellah, Ali, and Andrey Koucheryavy. "Artificial Intelligence Driven 5G and Beyond Networks." Telecom IT 10, no. 2 (April 12, 2023): 1–13. http://dx.doi.org/10.31854/2307-1303-2022-10-2-1-13.

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5G networks and beyond are expected to meet numerous service requirements in various aspects of our daily lives. At the same time, the functional complexity of 5G telecommunication networks increases by an order of magnitude compared to existing networks. 5G data rates are dramatically faster, connection density is higher, and latency is much lower, among other improvements. An efficient 5G network cannot be complete without incorporating artificial intelligence (AI) techniques. All this requires the use of new technologies, including artificial intelligence, to ensure the stable operation of telecommunication networks, methodology, system analysis, and key results. Scientific tasks for 5G communication networks are identified where the use of artificial intelligence, including machine and deep learning, seems appropriate. Practical Relevance. The results of the work may be useful in training in networks and telecommunication systems and in defining new scientific tasks for PhD students.
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Enjie Liu, Youbing Zhao, and Abimbola Efunogbon. "Boosting smarter digital health care with 5G and beyond networks." ITU Journal on Future and Evolving Technologies 4, no. 1 (March 10, 2023): 157–65. http://dx.doi.org/10.52953/gjnn6958.

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With 5G and beyond on the horizon, ultra-fast and low latency data transmission on the cloud and via the Internet will enable more intelligent and interactive medical and health-care applications. This paper presents a review of 5G technologies and their related applications in the health-care sector. The introduction to 5G technology includes software defined network, 5G architecture and edge computing. The second part of the paper then presents the opportunities provided by 5G to the health-care sector and employs medical imaging applications as central examples to demonstrate the impacts of 5G and the cloud. Finally, this paper summarize the benefits brought by 5G and cloud computing to the health-care sector.
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17

Schuuring, Mark J., and Dirkjan Kauw. "How to initiate eHealth in congenital heart disease patients?" European Heart Journal - Digital Health 1, no. 1 (November 1, 2020): 83–86. http://dx.doi.org/10.1093/ehjdh/ztaa012.

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Abstract Patients with congenital heart disease (CHD) are a vulnerable subgroup of cardiac patients. These patients have a high morbidity and high mortality rate. As the number of patients with CHD keeps growing, while also getting older, new tools for the care and follow-up of these vulnerable patients are warranted. eHealth has an enormous potential to revolutionize health care, and particularly for CHD patients, by expanding care beyond hospital walls and even moving some of the provided care to the comfort of home. As new eHealth tools continue to grow in number, such as invasive eHealth tools, health care delivered through eHealth continues to evolve. This teaching series summarizes current insights and discusses challenges yet to be overcome. Importantly, none of them are insurmountable. This all lays ground for a promising future for eHealth in the care of patients with CHD.
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Mustafa, Ahmed Shamil, Mohammad Abdulrahman Al-Mashhadani, Salah Ayad Jasim, Ahmed Muhi Shantaf, and Mustafa Maad Hamdi. "Blockchain in fifth-generation network and beyond: a survey." Bulletin of Electrical Engineering and Informatics 11, no. 3 (June 1, 2022): 1399–408. http://dx.doi.org/10.11591/eei.v11i3.3209.

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Fifth-generation (5G) technologies enable a wide range of vertical applications by connecting heterogeneous equipment and machines, resulting in significantly improved service quality, increased network capacity, and improved system performance. As a result, the world is shifting to 5G wireless networks. Because 5G has the advantage of supporting various vertical applications, 5G systems must still overcome challenges such as transparency, data interoperability probabilities, decentralization, and network privacy. In this paper, we'll show how blockchain can be used to solve problems in 5G, as well as some of the idea’s researchers, have come up with to solve them, like resource sharing, security, and mobility.
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19

Benzaid, Chafika, Tarik Taleb, and Muhammad Zubair Farooqi. "Trust in 5G and Beyond Networks." IEEE Network 35, no. 3 (May 2021): 212–22. http://dx.doi.org/10.1109/mnet.011.2000508.

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Nguyen, Huan X., Ramona Trestian, Duc To, and Mallik Tatipamula. "Digital Twin for 5G and Beyond." IEEE Communications Magazine 59, no. 2 (February 2021): 10–15. http://dx.doi.org/10.1109/mcom.001.2000343.

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Conti, Andrea, Flavio Morselli, Zhenyu Liu, Stefania Bartoletti, Santiago Mazuelas, William C. Lindsey, and Moe Z. Win. "Location Awareness in Beyond 5G Networks." IEEE Communications Magazine 59, no. 11 (November 2021): 22–27. http://dx.doi.org/10.1109/mcom.221.2100359.

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Giustiniano, Domenico, Giuseppe Bianchi, Andrea Conti, Stefania Bartoletti, and Nicola Blefari Melazzi. "5G and Beyond for Contact Tracing." IEEE Communications Magazine 59, no. 9 (September 2021): 36–41. http://dx.doi.org/10.1109/mcom.010.2001250.

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Sahinel, Doruk, Cem Akpolat, Manzoor A. Khan, Fikret Sivrikaya, and Sahin Albayrak. "Beyond 5G Vision for IOLITE Community." IEEE Communications Magazine 55, no. 1 (January 2017): 41–47. http://dx.doi.org/10.1109/mcom.2017.1600372cm.

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24

Kihero, Abuu B., Muhammad Sohaib J. Solaija, and Huseyin Arslan. "Inter-Numerology Interference for Beyond 5G." IEEE Access 7 (2019): 146512–23. http://dx.doi.org/10.1109/access.2019.2946084.

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Hashima, Sherief, Basem M. ElHalawany, Kohei Hatano, Kaishun Wu, and Ehab Mahmoud Mohamed. "Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks." Electronics 10, no. 2 (January 14, 2021): 169. http://dx.doi.org/10.3390/electronics10020169.

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Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G) and beyond 5G (B5G) networks. Although D2D communication provides several benefits, including limited interference, energy efficiency, reduced delay, and network overhead, it faces a lot of technical challenges such as network architecture, and neighbor discovery, etc. The complexity of configuring D2D links and managing their interference, especially when using millimeter-wave (mmWave), inspire researchers to leverage different machine-learning (ML) techniques to address these problems towards boosting the performance of D2D networks. In this paper, a comprehensive survey about recent research activities on D2D networks will be explored with putting more emphasis on utilizing mmWave and ML methods. After exploring existing D2D research directions accompanied with their existing conventional solutions, we will show how different ML techniques can be applied to enhance the D2D networks performance over using conventional ways. Then, still open research directions in ML applications on D2D networks will be investigated including their essential needs. A case study of applying multi-armed bandit (MAB) as an efficient online ML tool to enhance the performance of neighbor discovery and selection (NDS) in mmWave D2D networks will be presented. This case study will put emphasis on the high potency of using ML solutions over using the conventional non-ML based methods for highly improving the average throughput performance of mmWave NDS.
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Zhang, Chuan, Yeong-Luh Ueng, Christoph Studer, and Andreas Burg. "Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10, no. 2 (June 2020): 145–48. http://dx.doi.org/10.1109/jetcas.2020.2999944.

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Zhang, Chuan, Yeong-Luh Ueng, Christoph Studer, and Andreas Burg. "Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10, no. 2 (June 2020): 149–63. http://dx.doi.org/10.1109/jetcas.2020.3000103.

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Andersen, S. K., G. O. Klein, S. Schulz, J. Aarts, M. C. Mazzoleni, and A. Hasman. "MIE 2008: eHealth beyond the Horizon – Get IT there." Methods of Information in Medicine 48, no. 02 (2009): 135–36. http://dx.doi.org/10.1055/s-0038-1625236.

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Ali, Mudassar, Saad Qaisar, Muhammad Naeem, Waleed Ejaz, and Nida Kvedaraite. "LTE-U WiFi HetNets: Enabling Spectrum Sharing for 5G/Beyond 5G Systems." IEEE Internet of Things Magazine 3, no. 4 (December 2020): 60–65. http://dx.doi.org/10.1109/iotm.0001.2000024.

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Khaturia, Meghna, Pranav Jha, and Abhay Karandikar. "5G-Flow: A unified Multi-RAT RAN architecture for beyond 5G networks." Computer Networks 198 (October 2021): 108412. http://dx.doi.org/10.1016/j.comnet.2021.108412.

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Ghosh, Amitabha, Andreas Maeder, Matthew Baker, and Devaki Chandramouli. "5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15." IEEE Access 7 (2019): 127639–51. http://dx.doi.org/10.1109/access.2019.2939938.

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32

Lessi, Christina C., Andreas Gavrielides, Vittorio Solina, Renxi Qiu, Letizia Nicoletti, and Daiyou Li. "5G and Beyond 5G Technologies Enabling Industry 5.0: Network Applications for Robotics." Procedia Computer Science 232 (2024): 675–87. http://dx.doi.org/10.1016/j.procs.2024.01.067.

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33

Tanveer, Jawad, Amir Haider, Rashid Ali, and Ajung Kim. "Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey." Electronics 11, no. 1 (December 30, 2021): 121. http://dx.doi.org/10.3390/electronics11010121.

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Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.
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Angalaeswari, T., and M. Logeswari. "Machine Learning Techniques for 5g And Beyond." Data Analytics and Artificial Intelligence 3, no. 2 (February 1, 2023): 54–58. http://dx.doi.org/10.46632/daai/3/2/11.

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In today's world, wireless communication systems are extremely important for applications related to entertainment, business, commerce, health and safety. These systems continue to advance from generation to generation and at this time, fifth generation (5G) wireless networks are being deployed globally the globe. Beyond 5G wireless systems, which will represent the sixth generation (6G) of the evolution, are already being discussed in academia and industry. The application of artificial intelligence (AI) and machine learning (ML) to such wireless networks will be one of the primary and essential elements of 6G systems. According to our present understanding of wireless technologies up to 5G, every component and building block of a wireless system, such as the physical, network, and application layers, will involve one or more of them.
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Sedhom, Germien G., Alshimaa H. Ismail, and Basma M. Yousef. "Literature Review and Novel Trends of Mobile Edge Computing for 5G and Beyond." Journal of Artificial Intelligence and Metaheuristics 2, no. 2 (2022): 18–28. http://dx.doi.org/10.54216/jaim.020202.

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Because of the rapid evolution of communications technologies, such as the Internet of Things (IoT) and fifth generation (5G) systems and beyond, the latest developments have seen a fundamental change in mobile computing. Mobile computing is moved from central mobile cloud computing to mobile edge computing (MEC). Therefore, MEC is considered an essential technology for 5G technology and beyond. The MEC technology permits user equipment (UEs) to execute numerous high-computational operations by creating computing capabilities at the edge networks and inside access networks. Consequently, in this paper, we extensively address the role of MEC in 5G networks and beyond. Accordingly, we first investigate the MEC architecture, the characteristics of edge computing, and the MEC challenges. Then, the paper discusses the MEC use cases and service scenarios. Further, computations offloading is explored. Lastly, we propose upcoming research difficulties in incorporating MEC with the 5G system and beyond.
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Tiwari, Sadhana, and Neha Sharma. "Idea, Architecture, and Applications of 5G Enabled IoMT Systems for Smart Health Care System." ECS Transactions 107, no. 1 (April 24, 2022): 5499–508. http://dx.doi.org/10.1149/10701.5499ecst.

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The health sector is one of the important sectors of the Indian economy. The average expenditure on smart healthcare can be saved using the smart healthcare systems. Using Smart Healthcare System, death rate can be reduced and life span can be increased. Smart healthcare includes eHealth, mHealth services, smart home services, electronic database, and intelligent medical devices. Use of IoT based smart healthcare systems is increasing rapidly for disease diagnosis, patient’s treatment, and better quality of life. However, it produces a massive amount of data from different applications. It is the need of an hour to process and monitor real time data remotely with accuracy. As there are some limitations of IoT in healthcare like the massive amount of data generated, data security/privacy concerns, and more. This issue can be resolved by 5G technology. It has the capability to tackle the large amount of data with minimum delay and fulfills the requirement, such as high bandwidth, ultra-low latency, and ultra-high energy efficiency. Both 5G and IoT have great utility in the health sector. This research paper presents components, architecture, and applications of 5G enabled Internet of Medical Things (IoMT). This paper also covers how the 5G enabled IoMT supports the smart healthcare system and comparison of available wireless communication technologies for 5G enabled IoT. Requirements and technologies involved in 5G enabled IoMT Systems are presented along with their impact.
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Downey, Mark. "Navigating the Packaging Challenges of 5G and Beyond." International Symposium on Microelectronics 2019, S1 (October 1, 2019): S1—S13. http://dx.doi.org/10.4071/2380-4505-2019.1.keynote000018.

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Abstract 5G is all the buzz with significant developments and investments underway. With promises of tremendous bandwidth and reduced latencies there is no limit to the possibilities this platform can enable. In addition to exploring 5G, we will look some areas were it's challenging the packaging development industry.
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Kaur, Jasneet, M. Arif Khan, Mohsin Iftikhar, Muhammad Imran, and Qazi Emad Ul Haq. "Machine Learning Techniques for 5G and Beyond." IEEE Access 9 (2021): 23472–88. http://dx.doi.org/10.1109/access.2021.3051557.

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Pérez Santacruz, Javier, Simon Rommel, Ulf Johannsen, Antonio Jurado-Navas, and Idelfonso Tafur Monroy. "Candidate Waveforms for ARoF in Beyond 5G." Applied Sciences 10, no. 11 (June 4, 2020): 3891. http://dx.doi.org/10.3390/app10113891.

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5G mobile networks aim to support a large variety of services with different and demanding requirements. To achieve this, analog radio over fiber (ARoF) fronthaul along with millimeter-wave (mmWave) cells is a strong candidate to be part of the 5G architecture. Very high throughput can be achieved by using mmWave signals due to the large available bandwidths, which combines well with the advantages of employing ARoF technology. Nevertheless, combined mmWave and ARoF systems face a particular challenge as the impacts of both channels—such as high free-space path loss, phase noise, chromatic dispersion, and other degrading effects—affect the signal without the possibility for intermediate restoration. The selection of the signal waveforms plays an important role in reducing these defects. In addition, waveforms are one of the keys in the physical layer available towards satisfying the requirements for 5G and beyond. In this manuscript, several key requirements are presented to determine the merit of candidate waveform formats to fulfill the 5G requirements in the mmWave ARoF architecture. An overview of the different suitable waveforms for this architecture is provided, discussing their advantages and disadvantages. Moreover, a comprehensive comparison in terms of different requirements is also presented in this paper.
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Lv, Zhihan, Dongliang Chen, Hailing Feng, Ranran Lou, and Huihui Wang. "Beyond 5G for digital twins of UAVs." Computer Networks 197 (October 2021): 108366. http://dx.doi.org/10.1016/j.comnet.2021.108366.

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Bartoletti, Stefania, Luca Chiaraviglio, Sergio Fortes, Takai Eddine Kennouche, Gurkan Solmaz, Giacomo Bernini, Domenico Giustinlano, et al. "Location-Based Analytics in 5G and Beyond." IEEE Communications Magazine 59, no. 7 (July 2021): 38–43. http://dx.doi.org/10.1109/mcom.001.2001096.

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Quevedo-Teruel, Oscar, Qingbi Liao, Qiao Chen, Pilar Castillo-Tapia, Francisco Mesa, Kun Zhao, and Nelson J. G. Fonseca. "Geodesic Lens Antennas for 5G and Beyond." IEEE Communications Magazine 60, no. 1 (January 2022): 40–45. http://dx.doi.org/10.1109/mcom.001.2100545.

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Choi, Kwonhue. "Waveform Design for 5G and beyond Systems." Electronics 10, no. 17 (September 1, 2021): 2124. http://dx.doi.org/10.3390/electronics10172124.

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Zhang, Di, Joel J. P. C. Rodrigues, Yunkai Zhai, and Kaoru Sezaki. "5G and Beyond Technology-Enabled Remote Health." IEEE Wireless Communications 28, no. 3 (June 2021): 44–45. http://dx.doi.org/10.1109/mwc.2021.9491945.

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Kucur, Oğuz, Güneş Karabulut Kurt, Muhammad Zeeshan Shakir, and Imran Shafique Ansari. "Nonorthogonal Multiple Access for 5G and Beyond." Wireless Communications and Mobile Computing 2018 (July 5, 2018): 1–2. http://dx.doi.org/10.1155/2018/1907506.

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Liu, Yuanwei, Zhijin Qin, Maged Elkashlan, Zhiguo Ding, Arumugam Nallanathan, and Lajos Hanzo. "Nonorthogonal Multiple Access for 5G and Beyond." Proceedings of the IEEE 105, no. 12 (December 2017): 2347–81. http://dx.doi.org/10.1109/jproc.2017.2768666.

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Li, Yu-Ngok Ruyue, Mengzhu Chen, Jun Xu, Li Tian, and Kaibin Huang. "Power Saving Techniques for 5G and Beyond." IEEE Access 8 (2020): 108675–90. http://dx.doi.org/10.1109/access.2020.3001180.

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Masoudi, Meysam, Mohammad Galal Khafagy, Alberto Conte, Ali El-Amine, Brian Francoise, Chayan Nadjahi, Fatma Ezzahra Salem, et al. "Green Mobile Networks for 5G and Beyond." IEEE Access 7 (2019): 107270–99. http://dx.doi.org/10.1109/access.2019.2932777.

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Zhang, Jiayi, Emil Bjornson, Michail Matthaiou, Derrick Wing Kwan Ng, Hong Yang, and David J. Love. "Prospective Multiple Antenna Technologies for Beyond 5G." IEEE Journal on Selected Areas in Communications 38, no. 8 (August 2020): 1637–60. http://dx.doi.org/10.1109/jsac.2020.3000826.

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Schwierz, Frank. "Boron nitride switches for 5G and beyond." Nature Electronics 3, no. 8 (July 17, 2020): 444–45. http://dx.doi.org/10.1038/s41928-020-0452-6.

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