Relevant bibliographies by topics / EHealth and beyond 5G

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'EHealth and beyond 5G'

Author: Grafiati
Published: 4 May 2024

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

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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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Dissertations / Theses on the topic "EHealth and beyond 5G"

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Hamza, Anis Amazigh. "Improving cooperative non-orthogonal multiple access (CNOMA) and enhancing the physical layer security (PLS) for beyond 5G (B5G) and future eHealth wireless networks." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2023. http://www.theses.fr/2023UPHF0006.

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La cinquième génération de réseaux cellulaires (5G) a été une véritable révolution des technologies du réseau d'accès radio et du réseau mobile de base, se présentant comme la génération de rupture qui permet la cohabitation d'applications et usages extrêmement diversifiés, unifiés au sein d'une même technologie. Néanmoins, la 5G n'est qu'un début : de nouveaux scénarios et défis émergent. Par conséquent, la communauté des chercheurs prépare le terrain pour les systèmes cellulaires au-delà de la 5G (B5G). À cet égard, plusieurs technologies habilitantes sont étudiées. Outre la radio intelligente, l'utilisation des mmWaves, la technologie MIMO massive, ou encore l'utilisation de full-duplex (FD). L'accès multiple non orthogonal (NOMA) est apparu comme une technologie prometteuse qui permet à plusieurs utilisateurs de partager les mêmes ressources et optimise ainsi l'allocation des ressources, réduit la latence, et améliore à la fois l'efficacité spectrale et énergétique. Ces avantages font de NOMA un candidat sérieux en tant que système d'accès multiple pour les futurs réseaux B5G, en particulier pour les applications de la eSanté. NOMA peut être combiné de manière flexible avec n'importe quelle technologie sans fil telle que la communication coopérative, le full-duplex (FD), mmWave et les modulations multi-porteuses (MCM).Cette thèse propose une étude approfondie de cette technologie émergente, en particulier le NOMA coopératif (CNOMA) qui est considéré comme une technologie prometteuse pour les systèmes sans fil B5G et des futurs réseaux de eSanté, en commençant par présenter ses principes de base ainsi que sa combinaison avec la technologie FD, la transmission MCM, l'apprentissage en profondeur, ainsi qu'à l'amélioration de la sécurité de la couche physique (PLS).Tout d'abord, cette thèse étudie les performances du taux d'erreur des systèmes FD-CNOMA avec les canaux d'évanouissement sans fil. De nouvelles expressions des taux d'erreur binaire sont dérivées. De plus, des analyses à SNR élevé sont effectuées, ce qui a montré que FD-CNOMA a un plancher d'erreur en raison des imperfections du SIC et des résidus des auto-interférences. Sur la base des expressions dérivées, un nouveau schéma de relais sélectif est proposé pour améliorer de manière opportuniste les performances du système, en utilisant la surcharge minimale d'informations d'état de canal (CSI).Deuxièmement, le CNOMA basé sur MCM est examiné sous des canaux doublement sélectifs. Dans le contexte de la eSanté, cela peut être projeté sur les cas d'utilisation d'urgence en ambulance. Plus important encore, cette thèse présente une méthode d'amélioration des performances pour les utilisateurs lointains des systèmes MCM-NOMA avec un SIC imparfait et CSI imparfait sous des canaux sans fil doublement sélectifs. Deux schémas efficaces d'annulation d'interférence sont proposés pour améliorer le CNOMA basé sur MCM. Les schémas proposés sont robustes pour des scénarios de mobilité élevée avec une complexité de calcul relativement faible.Troisièmement et enfin, les progrès de l'apprentissage profond basé sur les réseaux de neurones (DNN) ont attiré une grande attention dans la communauté des communications sans fil (WCS). L'apprentissage profond a trouvé un large éventail d'applications dans les systèmes sans fil. Cependant, les DNN sont connus pour être très sensibles aux attaques contradictoires. De nombreuses attaques contradictoires robustes visant des systèmes sans fil basés sur les DNN ont été proposées dans la littérature. Cela devient un défi majeur pour la sécurité de la couche physique (PLS). Pour surmonter cette vulnérabilité, cette thèse propose une nouvelle technique de défense dont l'objectif est de protéger la victime sans dégrader la précision de son modèle de base en l'absence d'attaque. Les résultats obtenus sont très prometteurs et confirment que la technique de défense proposée peut améliorer la PLS d'une manière significative
The fifth generation of cellular networks (5G) was a real revolution in radio access technologies and mobile networks, presenting itself as the breakthrough generation that allowed the coexistence of extremely diversified applications and usage scenarios, unified under the same standard. Nevertheless, 5G is just the beginning: new scenarios and challenges are emerging. Therefore, the research community is pushing the research ahead and preparing the ground for beyond 5G (B5G) cellular systems. In this regard, several enabling technologies are investigated. In addition to the cognitive radio (CR), mmWave, massive MIMO, or even the use of full-duplex (FD), non-orthogonal multiple access (NOMA) emerged as a promising technology that allows multiple users to share the same resource block and hence, optimizes resource allocation, reduces the end-to-end latency, and improves both spectrum and energy efficiencies. Those advantages make NOMA a serious candidate as a multiple access scheme for future B5G networks, especially for the demanding eHealth applications. Furthermore, NOMA can be flexibly combined with any wireless technology such as cooperative communication, FD, mmWave, and multicarrier modulation (MCM).Motivated by this treatise, this thesis provides a comprehensive and intensive examination of this emerging technology, particularly, cooperative NOMA (CNOMA) which is considered a promising enabling technology for future B5G eHealth networks, from the basic principles to its combination with the full-duplex technology, MCM transmission, to deep learning as well as enhancing the physical layer security (PLS).First, this thesis investigates the error rate performance of FD-CNOMA systems over wireless fading channels. New closed-form expressions of the exact bit error rates (BER) are derived. Moreover, high-SNR analyses are conducted, which reveals that FD-CNOMA has an error floor due to the successive interference cancellation (SIC) imperfections and residual self-interference (RSI). Based on the derived expressions, a novel selective relaying scheme is proposed to opportunistically improve the system performance using the minimal channel state information (CSI) overhead.Second, the MCM-based CNOMA is examined under doubly selective channels encountered in vehicular and railway wireless communications. In the eHealth context, this can be projected to ambulance emergency healthcare use cases. More importantly, this thesis presents a performance improvement method for cell-edge users of MCM-NOMA systems with imperfect SIC and imperfect CSI under doubly selective wireless channels. Two efficient iterative interference cancellation schemes are proposed to enable user relaying for MCM-based CNOMA. The proposed schemes are robust for high mobility scenarios with a relatively low computational complexity.Third and last, advances in machine learning based on deep neural networks (DNNs) attracted great attention in the wireless communication community (WCS). It is regarded as a key component of B5G networks. Deep learning has found a broad range of applications in wireless systems, e.g., spectrum sensing, waveform design, SIC, and channel estimation. However, DNNs are known to be highly susceptible to adversarial attacks. Many robust over-the-air adversarial attacks against DNN-based WCS have been proposed in the literature. This is becoming a major challenge facing the physical layer security (PLS) of DNN-based WCS. To overcome this vulnerability, this thesis proposes a novel robust defense approach. The objective of our defense is to protect the victim without significantly degrading the accuracy of its baseline model in the absence of the attack. The obtained results are very promising and confirm that the proposed defense technique can enhance significantly the PLS of future DNN-based WCS
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D'ANDREA, Carmen. "Massive MIMO Technologies for 5G and Beyond-5G Wireless Networks." Doctoral thesis, Università degli studi di Cassino, 2019. http://hdl.handle.net/11580/84629.

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Massive multiple input multiple output (MIMO) is a promising 5G and beyond5G wireless access technology that can provide huge throughput, compared with the current technology, in order to satisfy some requirements for the future generations of wireless networks. The research described in this thesis proposes the design of some applications of the massive MIMO technology that can be implemented in order to increase the spectral efficiency per cell of the future wireless networks through a simple and low complexity signal processing. In particular, massive MIMO is studied in conjunction with two other topics that are currently under investigation for the future wireless systems, both in academia and in industry: the millimeter wave frequencies and the distributed antenna systems. The first part of the thesis gives a brief overview on the requirements of the future wireless networks and it explains some of the mathematical tools used in the current massive MIMO literature. Then, an overview on the differences between massive MIMO techniques at the conventional cellular frequencies and at millimeter wave frequencies is presented and exhaustively discussed. Six key basic differences are pinpointed, along with the implications that they have on the architecture and algorithms of the communication transceivers and on the attainable performance in terms of reliability and multiplexing capabilities. Subsequently, “doubly massive MIMO” systems at millimeter wave frequencies are introduced, i.e., systems with a large number of antennas at both the transmitter and the receiver. For complexity reasons and energy consumption issues, fully digital pre-coding and post-coding structures may turn out to be unfeasible, and thus suboptimal structures, making use of simplified hardware and a limited number of radio-frequency chains, have been investigated. A comparative assessment of several suboptimal pre-coding and post-coding structures with large number of antennas is discussed. Numerical results show that fullydigital beamformers may actually achieve a larger energy efficiency than lowercomplexity solutions, as well as that low-complexity beam-steering purely analog beamforming may in some cases represent a good performance-complexity trade-off solution. Finally, the thesis focuses on the recently introduced cell-free massive MIMO architecture, wherein a very large number of distributed access points, connected to a central processing unit, simultaneously and jointly serve a much smaller number of mobile stations. It contrasts the originally proposed formulation of cell-free massive MIMO with a user-centric approach wherein each mobile station is served only by a limited number of access points. Exploiting the framework of successive lower-bound maximization, this thesis also proposes and analyzes two power allocation strategies aimed at maximizing the throughput and the fairness of these systems. Additionally, advanced signal processing techniques, to improve the performance of the user-centric approach both in uplink and in downlink, are proposed. The proposed schemes can be implemented locally, i.e., with no need to exchange information with the central processing unit. Numerical results show that the user-centric approach, which requires smaller backhaul overhead and it is more scalable than the cell-free massive MIMO deployment, also achieves generally better performance than the cell-free massive MIMO approach for the vast majority of the users in the system, especially on the uplink. Regarding the proposed advanced signal processing techniques, the results show that they provide remarkable performance improvements with respect to the competing alternatives.
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ALONZO, Mario. "Distributed MIMO Systems for 5G and Beyond-5G Wireless Networks." Doctoral thesis, Università degli studi di Cassino, 2021. http://hdl.handle.net/11580/83801.

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Massive Multiple-Input-Multiple-Output (MIMO) is a recent technlogy that will be exploited for 5G and beyond-5G wireless network due to the constraints given by the future wireless networks, such as low latency and high spectral efficiency. In this thesis, MIMO systems have been taken into account in order to study two different network architectures. The former is called Cell-Free (CF), and it has been studied at millimeter Wave (mmWave) and microwave frequencies, and the latter is called Distributed Multiple Input Multiple Output (D-MIMO) for factory automation. The first chapter of this thesis gives an overview of massive MIMO, so why there is the need to exploit this technology and gives some mathematical concept. In the second chapter the CF at mmwave frequencies has been studied. The CF is a recent network architecture, in order to alleviate the cell-edge problem and thus increase the system performance of unlucky users that happen to be located very far from their serving Access Point (AP). In this architecture a large number of distributed APs, connected to a central processing unit (CPU), simultaneously and jointly serve a much smaller number of mobile Station (MS) or users. Both APs and users are equipped with multiple antennas. Then, it has been analyzed an architecture that generalizes the CF, the so called User-centric (UC), where each AP has to serve only a limited number of users. A power control algorithm has been introduced by resorting a method called successive lower bound maximization, aimed at maximizing the sum-rate and the energy efficiency. At mmwave, a lot of antennas can be employed, this means that there is the need of using hybrid architecture at each AP in order to reduce complexity and cost by using a small number of radio frequency (RF) chains. With CF or UC, channel estimation and beamforming are locally evaluated, reducing the traffic load on the backhaul network. So, a comparison between a fully digital (FD) and hybrid (HY) architecture will be shown. What it is possible to anticipate is that the FD architecture provides better performances than the hybrid one. In the numerical results, the performances in term of energy efficiency and sum-rate on Downlink and Uplink, with uniform and optimal power allocation and with a fully digital and hybrid architectures will be addressed. Then, this thesis also focuses on the comparison between D-MIMO and CF architectures for factory automation, at microwave frequencies. In this case, communications between actuators (ACs) and APs inside an industrial scenario is considered by adopting those different communication systems. Then, different transmission modes are taken into account, Joint transmission joint transmission (JT), Cell-Free transmission (CFT), single AP transmission (SAT), and User-centric transmission (UCT). In SAT mode each AC is served by only one AP. Even for this scenario a power control rule has been taken into account. In the end, in numerical section, it has been shown the performances in terms of SINR and achievable rate, evaluated with the finite block length capacity (FBLC) formula, when different transmission modes and beamformers are employed, and moreover the improvement given by the use of a power control.
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Mursia, Placido. "Multi-antenna methods for scalable beyond-5G access networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS532.

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L’augmentation exponentielle des équipements d’utilisateurs sans fil (UEs) et des services des réseaux associés aux déploiements actuels de cinquième génération (5G) pose plusieurs défis de conception sans précédent qui doivent être résolus avec l’avènement des futurs réseaux au-delà de la 5G. Plus précisément, la demande croissante de débits de données élevés ainsi que la nécessité de desservir un grand nombre d’appareils hétérogènes, allant des téléphones mobiles classiques aux objets connectés formant l’internet des objets (IoT), motivent l’étude de nouveaux schémas de traitement et de transmission du signal. À cet égard, les sorties multiples massives à entrées multiples (massive MIMO) sont une technologie d’accès bien établie, qui permet de desservir plusieurs dizaines d’UEs en utilisant lesmêmes ressources temps-fréquence au moyen de techniques de formation de faisceau hautement directionnelles. Cependant, le massive MIMO présente des problèmes d’évolutivité dans les scénarios accès massif où la population UE est composée d’un grand nombre de périphériques hétérogènes. En effet, si la disponibilité d’un grand nombre d’antennes dans les émetteurs-récepteurs massive MIMO apporte des gains de performances substantiels, elle augmente également considérablement la surcharge et la complexité du système. Plus précisément, la dimensionnalité élevée des canaux nécessite l’allocation de ressources temps-fréquence considérables pour acquérir les informations d’état de canal (CSI) et se traduit par de grandes opérations matricielles pour construire des précodeurs/décodeurs. De plus, dans le contexte de communications de multidiffusion comme, par exemple, la mise en cache périphérique sans fil ou la diffusion de messages critiques pour la mission, les techniques d’antennes multiples conventionnelles présentent des taux de disparition lorsque le nombre d’UEs augmente même dans le régime d’antenne massif. Enfin, le grand nombre de chaînes de radiofréquences (RF) associées aux émetteurs-récepteurs massive MIMO, qui sont utilisés pour contrer les pertes de propagation dans des environnements difficiles tels que, par exemple, à des fréquences d’ondes millimétriques (mmWave), se heurte au budget de puissance limité des appareils IoT. Dans cette thèse, nous proposons de nouvelles méthodes à antennes multiples évolutives pour l’amélioration des performances dans les scénarios d’intérêt susmentionnés. Plus précisément, nous décrivons le rôle fondamental joué par le CSI statistique qui peut être mis à profit pour réduire à la fois la complexité et la surcharge pour l’acquisition de CSI et pour la suppression des interférences multi-utilisateurs. En effet, lorsque les UEs sont équipés au moins de duex antennes, leurs propriétés de sélectivité spatiale peuvent être exploitées pour imposer une orthogonalité statistique parmi les transmissions interférentes. De plus, nous exploitons les communications de périphérique à périphérique (D2D) pour surmonter le goulot d’étranglement fondamental de la multidiffusion conventionnelle. En particulier, nous exploitons les capacités de précodage d’un émetteur multi-antennes pour sélectionner soigneusement les UEs dans des conditions de canal favorables, qui à leur tour agissent comme des relais opportunistes et retransmettent le message via les liaisons D2D. Enfin, dans le cadre des communications mmWave, nous explorons les avantages des surfaces intelligentes reconfigurables (RISs) récemment proposées, qui sont un catalyseur clé de l’innovation grâce à leur structure intrinsèquement passive qui permet de contrôler l’environnement de propagation et de contrer efficacement les pertes de propagation. En particulier, nous utilisons la formation de faisceaux passive au niveau du RIS, c’est-à-dire sans aucune dépense d’énergie significative, ainsi que la formation de faisceaux active conventionnelle au niveau de l’émetteur pour augmenter considérablement les performances du réseau
The exponential increase of wireless user equipments (UEs) and network services associated with current 5G deployments poses several unprecedented design challenges that need to be addressed with the advent of future beyond-5G networks and novel signal processing and transmission schemes. In this regard, massive MIMO is a well-established access technology, which allows to serve many tens of UEs using the same time-frequency resources. However, massive MIMO exhibits scalability issues in massive access scenarios where the UE population is composed of a large number of heterogeneous devices. In this thesis, we propose novel scalable multiple antenna methods for performance enhancement in several scenarios of interest. Specifically, we describe the fundamental role played by statistical channel state information (CSI) that can be leveraged for reduction of both complexity and overhead for CSI acquisition, and for multiuser interference suppression. Moreover, we exploit device-to-device communications to overcome the fundamental bottleneck of conventional multicasting. Lastly, in the context of millimiter wave communications, we explore the benefits of the recently proposed reconfigurable intelligent surfaces (RISs). Thanks to their inherently passive structure, RISs allow to control the propagation environment and effectively counteract propagation losses and substantially increase the network performance
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DI, STASIO FRANCESCO. "Link optimization considerations for 5G and beyond wireless communications." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2950490.

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VALLERO, GRETA. "Green Mobile Networks: from 4G to 5G and Beyond." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2960753.

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Menafra, Valentina Francesca. "Advanced business models for beyond 5G and 6G network architectures." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23835/.

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The aim of this interdisciplinary work, with roots in business economics and engineering, is to propose a new and innovative business model starting from a description of existing business models enabled by 5G and 6G. The new business model, called the sharing platform business model (SPBM), is based on the concept of sharing economy and multi-sided business model. The SPBM exploits the advantages of a platform, which facilitates the collaboration and cooperation among all the stakeholders in the 5G ecosystem. The ongoing fifth generation of mobile networks has disrupted, in a positive way, the future wireless communication networks; the most significant novelty compared to previous generations is the capability of 5G to serve the requirements of the vertical industries. 5G and the future 6G are able to transform industries and to provide services at gigabit/s speeds, low latency and to open new business opportunities. The mobile ecosystem has completely changed, previous generations were based on voice and data services and business models characterized by a bilateral relationship between operators and their customers, on the other hand, 5G offers the opportunity to collaborate with vertical industries to provide new services for enterprises. Given these premises, there is a clear need for a complete change in business modelling to overcome traditional models and to pave the way for innovative business models, which shall be able to face the business transformation of the mobile ecosystem. One of the main factors responsible for the change in business modelling is the uncertainty regarding the network investors: while in traditional business models the investors were mainly the MNOs, in the new mobile ecosystem this aspect is unclear. The question is: who should invest in the network infrastructure? Probably the solution could be the creation of public-private partnerships but building a business model based on this premise is completely a novel exercise.
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Khan, Komal Saif Ullah. "Cooperative Content Caching for 5G and Beyond Mobile Wireless Networks." Thesis, The University of Sydney, 2020. https://hdl.handle.net/2123/22970.

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: The increased interest in traffic-intensive applications such as High Definition (HD) video, augmented reality, and 3-D visualization is expected to result in higher network traffic. Such higher-fold traffic growth requires a significant paradigm shift in implementing upcoming 5G technology so that the user requests can be accommodated at the core network without causing a bottleneck. Emerging mobile content caching techniques can efficiently relieve overloaded network by caching popular content at intermediate nodes and user devices. Its efficacy, however, lies in the intelligent caching of popular files. To better deploy caching, a heterogeneous caching architecture is proposed that supports comprehensive cooperation. We propose three cooperative caching schemes in cellular networks, D2D networks, and cross-tier networks. Caching decisions are made by considering the content popularity, the device distribution, the transmission method, and the caching capability. Furthermore, we investigate a multi-association-based model in which a user associates with multiple caching entities to retrieve its requested content. We then present an agglomerative hierarchical clustering algorithm for setting up users' preferences and grouping them into the same clusters based on the similarity of their requests. Stochastic geometry has been used to model and analyze different coverage scenarios. Gains obtained are quantified in terms of coverage probability, cache hit probability, and delay through numerical and network simulations. Results show that the coverage probability achieved is 40% higher than the compared method. On the other hand, the cache hit probability increases to nearly 90% after clustering with the proposed method. The delay performance outperforms a popularity-based caching scheme and results in a 75% decrease in delay; however, the network's energy consumption is compromised for this purpose.
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9

Egena, O. "Planning and optimisation of 4G/5G mobile networks and beyond." Thesis, University of Salford, 2018. http://usir.salford.ac.uk/45123/.

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As mobile networks continue to evolve, two major problems have always existed that greatly affect the quality of service that users experience. These problems are (1) efficient resource management for users at the edge of the network and those in a network coverage hole. (2) network coverage such that improves the quality of service for users while keeping the cost of deployment very low. In this study, two novel algorithms (Collaborative Resource Allocation Algorithm and Memetic-Bee-Swarm Site Location-Allocation Algorithm) are proposed to solve these problems. The Collaborative Resource Allocation Algorithm (CRAA) is inspired by lending and welfare system from the field of political economy and developed as a Market Game. The CRAA allows users to collaborate through coalition formation for cell edge users and users with less than the required Signal-to-Noise-plus-Interference-Ratio to transmit at satisfactory Quality of Service, which is a result of the payoff, achieved and distributed using the Shapley value computed using the Owens Multi Linear Extension function. The Memetic-Bee-Swarm Site Location-Allocation Algorithm (MBSSLAA) is inspired by the behaviour of the Memetic algorithm and Bee Swarm Algorithm for site location. Series of System-level simulations and numerical evaluations were run to evaluate the performance of the algorithms. Numerical evaluation and simulations results show that the Collaborative Resource Allocation Algorithm compared with two popular Long Term Evolution-Advanced algorithms performs higher in comparison when assessed using throughput, spectral efficiency and fairness. Also, results from the simulation of MBSSLAA using realistic network design parameter values show significant higher performance for users in the coverage region of interest and signifies the importance of the ultra-dense small cells network in the future of telecommunications’ services to support the Internet of Things. The results from the proposed algorithms show that following from the existing solutions in the literature; these algorithms give higher performance than existing works done on these problems. On the performance scale, the CRAA achieved an average of 30% improvement on throughput and spectral efficiency for the users of the network. The results also show that the MBSSLAA is capable of reducing the number of small cells in an ultra-dense small cell network while providing the requisite high data coverage. It also indicates that this can be achieved while maintaining high SINR values and throughput for the users, therefore giving them a satisfactory level of quality of service which is a significant requirement in the Fifth Generation network’s specification.
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Ben, Saad Sabra. "Security architectures for network slice management for 5G and beyond." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS023V2.pdf.

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L'architecture de découpage du réseau en sous-réseaux "Network slicing", rendue possible grâce aux nouvelles technologies telles que la virtualisation des fonctions réseau (NFV) et le réseau défini par logiciel (SDN), est l'un des principaux piliers des réseaux 5G et au-delà (B5G). Dans les environnements de la cinquième génération et au-delà (B5G), on s'attend à une multiplication du nombre de sous-réseaux coexistant, plus ou moins complexes, avec des durées de vie, des besoins en ressources et des objectifs de performance très divers. Cela crée des défis importants pour la gestion et l'orchestration des sous-réseaux sans intervention humaine, y compris la sécurité, la gestion des pannes et la confiance. En outre, le découpage du réseau ouvre le marché à de nouvelles parties prenantes, à savoir le vertical ou le locataire, le fournisseur de tranches de réseau et le fournisseur d'infrastructure. Dans ce contexte, il est nécessaire d'assurer non seulement une interaction sécurisée entre ces acteurs, mais aussi que chaque acteur fournisse le service attendu pour répondre aux exigences des sous-réseaux. Il convient donc de concevoir de nouvelles architectures sécurisées capables d'identifier/détecter en temps réel les nouvelles formes d'attaques liées au découpage de réseaux en tranches, tout en gérant de manière sûre et automatique les accords de niveau de service (SLAs) entre les acteurs impliqués. Dans cette thèse, nous concevons une nouvelle architecture sécurisée adaptée aux réseaux prêts pour le "Network slicing" (réseaux de cinquième génération (5G) et au-delà), en nous appuyant fortement sur la blockchain et l'intelligence artificielle (IA) pour permettre une gestion sécurisée et fiable des sous-réseaux
Network slicing architecture, enabled by new technologies such as Network Functions Virtualization (NFV) and Software-Defined Networking (SDN), is one of the main pillars of Fifth-generation and Beyond (B5G). In B5G settings, the number of coexisting slices with varying degrees of complexity and very diverse lifespans, resource requirements, and performance targets is expected to explode. This creates significant challenges towards zero-touch slice management and orchestration, including security, fault management, and trust. In addition, network slicing opens the business market to new stakeholders, namely the vertical or tenant, the network slice provider, and the infrastructure provider. In this context, there is a need to ensure not only a secure interaction between these actors, but also that each actor delivers the expected service to meet the network slice requirements. Therefore, new trust architectures should be designed, which are able to identify/detect the new forms of slicing-related attacks in real-time, while securely and automatically managing Service Level Agreements (SLA) among the involved actors. In this thesis, we devise new security architectures tailored to network slicing ready networks (B5G), heavily relying on blockchain and Artificial Intelligence (AI) to enable secure and trust network slicing management
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Books on the topic "EHealth and beyond 5G"

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Lin, Xingqin, and Namyoon Lee, eds. 5G and Beyond. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8.

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Chatterjee, Parag, Robin Singh Bhadoria, and Yadunath Pathak. 5G and Beyond. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003045809.

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Bhushan, Bharat, Sudhir Kumar Sharma, Raghvendra Kumar, and Ishaani Priyadarshini, eds. 5G and Beyond. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3668-7.

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Mandloi, Manish, Devendra Gurjar, Prabina Pattanayak, and Ha Nguyen, eds. 5G and Beyond Wireless Systems. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6390-4.

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Singh, Indrasen, Shubham Tayal, Niraj Pratap Singh, Vijay Shanker Tripathi, and Ghanshyam Singh. 5G and Beyond Wireless Networks. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003407836.

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Morais, Douglas H. 5G and Beyond Wireless Transport Technologies. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74080-1.

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Singh, Simranjit, Gurpreet Kaur, Mohammad Tariqul Islam, and R. S. Kaler, eds. Broadband Connectivity in 5G and Beyond. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06866-9.

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Duong, Trung Q., Xiaoli Chu, and Himal A. Suraweera. Ultra-dense Networks for 5G and Beyond. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119473756.

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Kazmi, S. M. Ahsan, Latif U. Khan, Nguyen H. Tran, and Choong Seon Hong. Network Slicing for 5G and Beyond Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16170-5.

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Matin, Mohammad Abdul, ed. A Glimpse Beyond 5G in Wireless Networks. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13786-0.

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Book chapters on the topic "EHealth and beyond 5G"

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Li, Zhengmao, Xiaoyun Wang, and Tongxu Zhang. "5G+X: Beyond the Connection." In 5G+, 107–10. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6819-0_8.

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Fischer, Sven. "5G NR Positioning." In 5G and Beyond, 429–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8_15.

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Singh, Mangal, Shruti Goel, and Ram Kishan Dewangan. "5G-Enabled IoT." In 5G and Beyond, 181–208. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003045809-13.

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Prasad, Ramjee. "Beyond 2020." In 5G: 2020 and Beyond, 89–98. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003336877-6.

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Li, Qian (Clara), Thomas Novlan, and Erik Dahlman. "NR Integrated Access and Backhaul." In 5G and Beyond, 485–501. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8_16.

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Masini, Gino. "A Guide to NG-RAN Architecture." In 5G and Beyond, 233–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8_8.

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Ngo, Hien Quoc. "Massive MIMO." In 5G and Beyond, 101–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58197-8_4.

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Hong, Songnam. "Advanced Channel Coding." In 5G and Beyond, 29–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58197-8_2.

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Lin, Xingqin, Dongsheng Yu, and Henning Wiemann. "A Primer on Bandwidth Parts in 5G New Radio." In 5G and Beyond, 357–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8_12.

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Lin, Xingqin, Anders Furuskär, Olof Liberg, and Sebastian Euler. "Sky High 5G: New Radio for Air-to-Ground Communications." In 5G and Beyond, 503–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58197-8_17.

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Conference papers on the topic "EHealth and beyond 5G"

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Li, Yuanjie, Qianru Li, Zhehui Zhang, Ghufran Baig, Lili Qiu, and Songwu Lu. "Beyond 5G." In SIGCOMM '20: Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3387514.3405873.

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Jain, Preksha, Gurjot Singh Gaba, Lavish Kansal, and Sarah Ngo. "5G and Beyond." In 2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2018. http://dx.doi.org/10.1109/iccsp.2018.8524228.

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Kapassa, Evgenia, Marios Touloupou, Argyro Mavrogiorgou, Athanasios Kiourtis, Dimitra Giannouli, Konstantina Katsigianni, and Dimosthenis Kyriazis. "An Innovative eHealth System Powered By 5G Network Slicing." In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, 2019. http://dx.doi.org/10.1109/iotsms48152.2019.8939266.

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Dahlman, Erik, Stefan Parkvall, Janne Peisa, and Hugo Tullberg. "5G Evolution and Beyond." In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2019. http://dx.doi.org/10.1109/spawc.2019.8815418.

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"5G and beyond waveforms." In 2017 24th International Conference on Telecommunications (ICT). IEEE, 2017. http://dx.doi.org/10.1109/ict.2017.7998283.

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Ziegler, Volker, Thorsten Wild, Mikko Uusitalo, Hannu Flinck, Vilho Raisanen, and Kimmo Hatonen. "Stratification of 5G evolution and Beyond 5G." In 2019 IEEE 2nd 5G World Forum (5GWF). IEEE, 2019. http://dx.doi.org/10.1109/5gwf.2019.8911739.

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Moussaoui, Meroua, Emmanuel Bertin, and Noel Crespi. "5G shortcomings and Beyond-5G/6G requirements." In 2022 1st International Conference on 6G Networking (6GNet). IEEE, 2022. http://dx.doi.org/10.1109/6gnet54646.2022.9830439.

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Strinati, Emilio Calvanese, Thomas Haustein, Mickael Maman, Wilhelm Keusgen, Sven Wittig, Mathis Schmieder, Sergio Barbarossa, et al. "Beyond 5G Private Networks: the 5G CONNI Perspective." In 2020 IEEE Globecom Workshops (GC Wkshps). IEEE, 2020. http://dx.doi.org/10.1109/gcwkshps50303.2020.9367460.

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Hansryd, Jonas. "5G wireless communication beyond 2020." In ESSCIRC Conference 2015 - 41st European Solid-State Circuits Conference. IEEE, 2015. http://dx.doi.org/10.1109/esscirc.2015.7313814.

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Fettweis, Gerhard P., Emil Matus, Robert Wittig, Mattis Hasler, Stefan Damjancevic, Seungseok Nam, and Sebastian Haas. "5G-and-Beyond Scalable Machines." In 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC). IEEE, 2019. http://dx.doi.org/10.1109/vlsi-soc.2019.8920308.

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