Search results for "5G-tekniikka"

showing 10 items of 20 documents

Multi-Connectivity for User Throughput Enhancement in 5G Non-Terrestrial Networks

2022

To meet the increasing throughput and reliability demands, satellites may be used to complement the Fifth Gener-ation (5G) Terrestrial Networks (TNs). To increase the efficiency of the satellite communications involved, research on bandwidth-efficient techniques is needed. Multi-Connectivity (MC), where a user can be connected to multiple Next Generation Node Bs (gNBs) simultaneously, is one of such techniques. In this paper, the focus is on MC in NonTerrestrial Networks (NTNs) to improve users' experienced throughputs. First, a study of relevant specifications and algorithms is conducted. Then, the designed load-aware Secondary Node (SN) addition and traffic steering algorithms are present…

SATCOMlangaton tiedonsiirtonon-terrestrial networkssatellitemulti-connectivitycommunicationstietoliikennesatelliitit5G-tekniikkasimulointinetwork simulator 35Glangattomat verkot2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Secrecy analysis and learning-based optimization of cooperative NOMA SWIPT systems

2019

Non-orthogonal multiple access (NOMA) is considered to be one of the best candidates for future networks due to its ability to serve multiple users using the same resource block. Although early studies have focused on transmission reliability and energy efficiency, recent works are considering cooperation among the nodes. The cooperative NOMA techniques allow the user with a better channel (near user) to act as a relay between the source and the user experiencing poor channel (far user). This paper considers the link security aspect of energy harvesting cooperative NOMA users. In particular, the near user applies the decode-and-forward (DF) protocol for relaying the message of the source no…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer scienceDecode-and-forward (DF)050801 communication & media studies5G-tekniikkalaw.inventionNonorthogonal multiple access (NOMA)NomaComputer Science - Networking and Internet Architecturelangaton tiedonsiirto0508 media and communicationsoptimointiRelaylawRobustness (computer science)0502 economics and businessSecrecymedicineFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingtietoturvaNetworking and Internet Architecture (cs.NI)business.industryDeep learningPower-splitting05 social sciencesDeep learningmedicine.diseasekoneoppiminen050211 marketingArtificial intelligencebusinessDecoding methodsEfficient energy useComputer networkCommunication channel
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Adapting to Dynamic LEO-B5G Systems : Meta-Critic Learning Based Efficient Resource Scheduling

2022

Low earth orbit (LEO) satellite-assisted communications have been considered as one of key elements in beyond 5G systems to provide wide coverage and cost-efficient data services. Such dynamic space-terrestrial topologies impose exponential increase in the degrees of freedom in network management. In this paper, we address two practical issues for an over-loaded LEO-terrestrial system. The first challenge is how to efficiently schedule resources to serve the massive number of connected users, such that more data and users can be delivered/served. The second challenge is how to make the algorithmic solution more resilient in adapting to dynamic wireless environments.To address them, we first…

Signal Processing (eess.SP)FOS: Computer and information sciencesdynamic environmentComputer Science - Machine Learningreinforcement learningmeta-critic learningComputer Science - Artificial Intelligence5G-tekniikkaresursointiMachine Learning (cs.LG): Electrical & electronics engineering [C06] [Engineering computing & technology]LEO satelliteslangaton tiedonsiirtoresources allocationalgoritmitFOS: Electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal Processing: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Applied MathematicstietoliikennesatelliititComputer Science ApplicationsArtificial Intelligence (cs.AI)koneoppiminenresource schedulinglangattomat verkot
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Design and evaluation of self-healing solutions for future wireless networks

2016

This doctoral dissertation is aimed at the creation of comprehensive and innovative Self-Organizing Networks (SON) solutions for the Network Management of future wireless networks. More specifically, the thesis focuses on the Self-Healing (SH) part of SON. Faults can appear at several functional areas of a complex cellular network. However, the most critical domain from a fault management viewpoint is the Radio Access Network (RAN). The fault management of network elements is not only difficult but also imposes high costs both in capital investment (CAPEX) and operational expenditures (OPEX). The SON concept has emerged with the goal to foster automation and to reduce human involvement in man…

cell outgate managementmobile networksitseorganisoituvat verkotviatcell degradation detection5G-tekniikkamatkaviestinverkottukiasematverkonhallintaself-organizing networksautomaatioradioverkotitsekorjautuvuusself-healingfaults managementennakointilangattomat verkot
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On Attacking Future 5G Networks with Adversarial Examples : Survey

2022

The introduction of 5G technology along with the exponential growth in connected devices is expected to cause a challenge for the efficient and reliable network resource allocation. Network providers are now required to dynamically create and deploy multiple services which function under various requirements in different vertical sectors while operating on top of the same physical infrastructure. The recent progress in artificial intelligence and machine learning is theorized to be a potential answer to the arising resource allocation challenges. It is therefore expected that future generation mobile networks will heavily depend on its artificial intelligence components which may result in …

deep learning5G-tekniikkaGeneral Medicinematkaviestinverkottekoälyartificial intelligenceadversarial machine learning5G networkskoneoppiminenmatkaviestinpalvelut (telepalvelut)algoritmit5G cybersecurity knowledge basetietoturvakyberturvallisuusverkkohyökkäyksetverkkopalvelut
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Efficient Power Allocation for Multi-Cell Uplink NOMA Network

2019

Digital technologies are rapidly shaping the modern concepts of urbanization. It is a key element of developing practical smart cities of the future. In fact, they are the catalyst for the increasing networking of all areas of life in a smart city. Recent development in the domain of communication technologies has opened new avenues to realize the concept of smart cities. One of such communication technology is non-orthogonal multiple access (NOMA) for future cellular communications. This article, therefore, focuses on the interference management of uplink cellular NOMA systems. Specifically, we propose a power optimization technique for NOMA to improve the sum-rate in a multi-cell environm…

energiatehokkuusComputer science5G-tekniikkamatkaviestinverkot02 engineering and technologyNomaoptimointi0203 mechanical engineeringSmart cityTelecommunications link0202 electrical engineering electronic engineering information engineeringmedicineMulti-cellSmart citybusiness.industryPower optimization020206 networking & telecommunications020302 automobile design & engineeringNakagami distributionmedicine.diseasePower optimizationCellular communicationNon-orthogonal multiple access (NOMA)Key (cryptography)älytekniikkaNakagami-mbusinessComputer networkCommunication channel2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
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Enhancing Software Engineering Education in Africa through a Metaversity

2022

Software engineering education requires a new boost in African higher education, because of the high demand for professionals, caused by the fast increasing internet connections calling for meaningful applications and governmental initiatives like Fourth Industrial Revolution (4IR), and the current situation where universities graduate software engineers that cannot serve in the job markets. Inspired by the Conceive, Design, Implement and Operate (CDIO) model for engineering education and the CATI model for curriculum reform focusing on contextually relevant education in the Global South, we introduce how a complementary model for a conventional university, i.e. metaversity, can enhance sof…

focusingeducationtrainingsoftwareohjelmistotuotanto5G-tekniikkakorkeakouluopetusmetaversekehittyvät markkinatAfricaetäopetusharjoitteluverkko-opetusfourth industrial revolution2022 IEEE Frontiers in Education Conference (FIE)
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On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples

2022

The use of artificial intelligence and machine learning is recognized as the key enabler for 5G mobile networks which would allow service providers to tackle the network complexity and ensure security, reliability and allocation of the necessary resources to their customers in a dynamic, robust and trustworthy way. Dependability of the future generation networks on accurate and timely performance of its artificial intelligence components means that disturbance in the functionality of these components may have negative impact on the entire network. As a result, there is an increasing concern about the vulnerability of intelligent machine learning driven frameworks to adversarial effects. In …

koneoppiminenGeneral Computer ScienceGeneral Engineeringdeep learningsyväoppiminenGeneral Materials Science5G-tekniikkaElectrical and Electronic Engineeringtekoälyartificial intelligenceadversarial machine learning5G networks
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Virtual resource-sharing mechanisms in software-defined and virtualized wireless network

2018

virtualisointicontract theory5G-tekniikkaVRSOpExlangaton tekniikkaauction theoryverkonhallintaSDNCapExWNVserendipity metricspeliteoriaresource managementcontact theorylangattomat verkot
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Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era

2018

The unprecedented growth of wireless data traffic not only challenges the design and evolution of the wireless network architecture, but also brings about profound opportunities to drive and improve future networks. Meanwhile, the evolution of communications and computing technologies can make the network edge, such as BSs or UEs, become intelligent and rich in terms of computing and communications capabilities, which intuitively enables big data analytics at the network edge. In this article, we propose to explore big data analytics to advance edge caching capability, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resou…

wireless networksContent popularityEdge deviceComputer scienceBig data5G-tekniikkaRadio resource02 engineering and technologyWireless network architecturebig data5G mobile communication0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringta113: Computer science [C05] [Engineering computing & technology]hidden Markov modelsbusiness.industry020208 electrical & electronic engineeringWireless dataanalytical models020206 networking & telecommunications: Sciences informatiques [C05] [Ingénierie informatique & technologie]Computer Science Applicationsdata modelskoneoppiminenmachine learningdevice-to-device communicationEnhanced Data Rates for GSM EvolutionCachebusinesslangattomat verkotComputer networkIEEE Wireless Communications
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