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5G Network - DOAJ

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Last Updated: 10 May 2022

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A Study on the Relationship between Artificial Intelligence and 5G Network Construction and the Level of Economic Development of Regional Cities

Urban digital governance, represented by digital city and smart city, is a key element of urban agglomeration development. This paper explores how the economic growth rate of local government interacts with urban agglomeration's collaborative network status, as well as the evolution of local government's digital governance policies. This paper focuses on the assumption of collective action and network governance. This paper discusses the potential “center” and “cooperative network status” of local government leaders in urban agglomerations by establishing the configuration matrix of "economic growth level" and "cooperative network status" of local government bodies in urban agglomerations, which can be adopted by local governments in urban agglomerations in various configurations. The ant colony optimization algorithm developed in this paper includes two components: ACO initialization and ACO optimization.

Source link: https://doi.org/10.1155/2022/8020388


A New Model of Intelligent Nursing Based on 5G Network Architecture and RFID Technology

This paper presents a clustering SPA relative positioning algorithm based on nearest neighbors in the 5G network architecture framework, based on the results of RFID indoor positioning technology. The medical care mobile management software was developed based on the newest analysis on the use of RFID in hospital medical care administration, mainly including the database system, the handheld data capture and wireless transmission protocol, and the administration running on the desktop PC.

Source link: https://doi.org/10.1155/2022/6586213


High gain modified Vivaldi vehicular antenna for IoV communications in 5G network

Using the latest version of the Vivaldi antenna, a vehicular antenna can be built using the latest version of the Vivaldi antenna that can cover all frequency bands for the long-term evolution and fifth-generation wireless networks. The evaluation of the antenna's reflection and radiation characteristics when mounted on the vehicle confirms that it is suitable for a smart vehicle to vehicle communications.

Source link: https://doi.org/10.1016/j.heliyon.2022.e09336


Indoor Genetic Algorithm-Based 5G Network Planning Using a Machine Learning Model for Path Loss Estimation

Accurate wireless network planning is vital in the deployment of new wireless networks. More sophisticated models, such as Indoor Dominant Path Loss models, are usually more accurate, but a large number of candidate deployment alternatives are no longer available, especially since their route loss estimation is more time-consuming. This paper investigates Machine Learning's ability to approximate a complex 5G path loss model. With a Mean Absolute Error below 3 dB, the Machine Learning model has been developed for two buildings and has been tested on three other buildings. While still providing the required coverage for at least 9 percent of the receiver locations, it's shown that the current approach is able to find a wireless network deployment option with an equal, or smaller number of access points, while still providing the required coverage for at least 99. 4% of the receiver locations, which happens 15 times faster.

Source link: https://doi.org/10.3390/app12083923


Unsupervised Clustering for 5G Network Planning Assisted by Real Data

Data has become more popular than ever to infer about the traffic load and existing network infrastructure in order to minimize the cost of new 5G deployments in the present-day networks. Identifying the region with the highest traffic density in megabytes per km^2 has a significant effect in lowering the cost per bit for the mobile network operators. In this research, we recommend a base station clustering framework based on unsupervised learning to pinpoint the desired area identified as the highest traffic cluster for 5G deployments in this region.

Source link: https://doi.org/10.1109/ACCESS.2022.3165799


An Analytical Model for 5G Network Resource Sharing with Flexible SLA -Oriented Slice Isolation

Network slicing is a new key feature in 5G networks that allows the provision of a variety of heterogeneous communications services over a common network infrastructure while still meeting stringent Quality of Service requirements. Since radio spectrum resources are inherently limited, the slicing of the radio access network should be based on a flexible resource sharing scheme that promotes efficient resource use, fairness, and slice isolation.

Source link: https://doi.org/10.3390/math8071177


Adaptive Energy Management in 5G Network Slicing: Requirements, Architecture, and Strategies

Multiple independent virtual networks can be established on top of a common shared physical infrastructure, which is supported by the Network slicing scheme for 5G mobile communications. The existing literature on network slicing is mainly focused on network partitioning; however, the associated management of energy use is unconsidered critical issue. Integer Linear Programming's energy management model also includes the technical 5G technology details related to the plan, the requirements for adaptive energy management, and the Integer Linear Programming version of the energy management model.

Source link: https://doi.org/10.3390/en13153984


Slicing on the Road: Enabling the Automotive Vertical through 5G Network Softwarization

Network slicing candidates emerging as a popular alternative to V2X's upcoming programmable and softwarized 5G networks in a business-agile manner by allowing an operator to flexibly provide dedicated logical networks with functionality over a common physical infrastructure. In this paper, a network slicing framework is suggested alongside key building blocks and mechanisms to enable V2X applications by flexibly orchestrating multi-access and edge-dominated 5G network infrastructures, particularly in relation to roaming scenarios.

Source link: https://doi.org/10.3390/s18124435


RELIABLE: Resource Allocation Mechanism for 5G Network using Mobile Edge Computing

One of the primary objectives of 5G networks is to satisfy the customer's various Quality of Service requirements in various application scenarios. To fulfill these QoS requirements, fifth-generation networks use Network Function Virtualization and Mobile Edge Computing concepts. The simulation results indicate that the new service lock rate declines and as a decrease in the service lock number and as a decrease in the service lock number as a result of the accuracy of the strategy and its load balancing in the process of resource allocation.

Source link: https://doi.org/10.3390/s20195449

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions