5 research outputs found

    Towards versatile access networks (Chapter 3)

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    Compared to its previous generations, the 5th generation (5G) cellular network features an additional type of densification, i.e., a large number of active antennas per access point (AP) can be deployed. This technique is known as massive multipleinput multiple-output (mMIMO) [1]. Meanwhile, multiple-input multiple-output (MIMO) evolution, e.g., in channel state information (CSI) enhancement, and also on the study of a larger number of orthogonal demodulation reference signal (DMRS) ports for MU-MIMO, was one of the Release 18 of 3rd generation partnership project (3GPP Rel-18) work item. This release (3GPP Rel-18) package approval, in the fourth quarter of 2021, marked the start of the 5G Advanced evolution in 3GPP. The other items in 3GPP Rel-18 are to study and add functionality in the areas of network energy savings, coverage, mobility support, multicast broadcast services, and positionin

    The 6G Architecture Landscape:European Perspective

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    Assessment of Suicide Risk Factors Among Attempted Suicide in Ardebil within First Half of 1382

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    Objective: Suicide is defined as finishing life delibrately upon conditions that be done by individual’s own desire and own hand. Suicide is a major problem in social health and hygiene and it’s rate is now increasing among individuals at 15-24 age range. This study has preformed to detect risk factors and major fundamental agent been used in suicide. Materials & Methods: This is a descriptive cross – sectional study. Statistical unit in this present study, obtained from individuals that committed suicide and hospitalized in Fatemi and Booali hospitals of Ardebil. Sample quantity was 218 cases whom have been from both two sex and from all ages. Clinical interview has derived from patients and their first-degree relatives and appropriate tests of MMPI were done. The results have been analysed with descriptive statistics of SPSS soft ware. Results: In this study the most cases of committing suicide were within 15-25 age span, with the following group profiles. Female (61%), married individuals (53.22%), educated individuals with high school and diploma (35.78%), and moderate socio – ecnomic status (57.34). Sixty one point forty seven (61.47)% of these individuals were afflicted by psychological disorders white 58.72 precent were afflicted with personality disorders. The most used method for suicide was taking drugs and toxins (90.83%). Family problem with spouse has been founded as most common cause of suicide.  Conclusion: This study is revealing that the prevalence of different risk factors, with play a role in commiting suicide, are as follow Moderate socio-economic condition, low education, end of adolescence and beginning of youth, female sex, being married, family problems especially among new married couple, psychiatric and personality disorders and finally an easy access to drugs and toxins. As considering their psychological profile, they had suspicion, pessimism, motive misinterpretation, high occupation of mind and a desire to sequestered their life

    Machine Learning-Based, Networking and Computing Infrastructure Resource Management

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    Part 1: 6th Workshop on “5G – Putting Intelligence to the Network Edge” (5G-PINE 2021)International audience5G mobile networks will be soon available to handle all types of applications and to provide service to massive numbers of users. In this complex and dynamic network ecosystem, end-to-end performance analysis and optimization will be key features in order to effectively manage the diverse requirements imposed by multiple vertical industries over the same shared infrastructure. To enable such a vision, the MARSAL project [1] targets the development and evaluation of a complete framework for the management and orchestration of network resources in 5G and beyond by utilizing a converged optical-wireless network infrastructure in the access and fronthaul/midhaul segments. At the network design domain, MARSAL targets the development of novel cell-free-based solutions. Namely, scalable and cost-efficient wireless access points deployment will be achieved by exploiting the distributed cell-free concept combined with wireless and wired serial fronthaul approaches. We will target the inclusion of these innovative functionalities in the O-RAN project. In parallel, in the fronthaul/midhaul segments MARSAL aims to radically increase the flexibility of optical access architectures for Beyond-5G cell site connectivity via different levels of fixed-mobile convergence. In the network and service management domain, the design philosophy of MARSAL is to provide a comprehensive framework for the management of the entire set of communication and computational network resources by exploiting novel ML-based algorithms of both edge and midhaul data centers, by incorporating the Virtual Elastic Data Centers/Infrastructures paradigm. Finally, at the network security domain, MARSAL aims to introduce mechanisms that provide privacy and security to application workload and data, targeting to allow applications and users to maintain control over their data when relying on the deployed shared infrastructures, while AI and Blockchain technologies will be developed in order to guarantee a secured multi-tenant slicing environment

    Towards versatile access networks

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    Abstract Compared to its previous generations, the 5th generation (5G) cellular network features an additional type of densification, i.e., a large number of active antennas per access point (AP) can be deployed. This technique is known as massive multipleinput multiple-output (mMIMO) [1]. Meanwhile, multiple-input multiple-output (MIMO) evolution, e.g., in channel state information (CSI) enhancement, and also on the study of a larger number of orthogonal demodulation reference signal (DMRS) ports for MU-MIMO, was one of the Release 18 of 3rd generation partnership project (3GPP Rel-18) work item [2]. This release (3GPP Rel-18) package approval, in the fourth quarter of 2021, marked the start of the 5G Advanced evolution in 3GPP [3]. The other items in 3GPP Rel-18 are to study and add functionality in the areas of network energy savings, coverage, mobility support, multicast broadcast services, and positioning [2]
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