LTE EPS network with self-similar traffic modeling for performance analysis

Ageyev, Dmytro; Qasim, Nameer Hashim

doi:10.1109/infocommst.2015.7357335

Cited by 21 publications

(4 citation statements)

References 5 publications

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“…Previous articles have pointed out that the lack of coherent policy frameworks can stifle innovation and hinder the deployment of these technologies. The present study reaffirms the importance of adaptive and forward-thinking regulatory approaches to ensure that telecommunications infrastructure remains robust and compliant with emerging technological standards [29] Furthermore, this research contributes to the academic and practical understanding of how telecommunication technologies can be synergistically combined to enhance network capabilities. Unlike some previous studies that treated these technologies in isolation, this study provides a holistic view of their interdependencies and the cumulative effects on network performance and reliability [30] The discussions in this article resonate with the broader academic discourse on telecommunications, providing both confirmatory evidence of previous findings and novel insights into the integration of LTE, 5G, UAVs, IoT, and cloud computing.…”

Section: Discussionsupporting

confidence: 72%

Revolutionizing Communication: How 5G, UAVs, and Cloud Technologies are Shaping the New Telecommunications Landscape

Jawad,

Abu-AlShaeer

2024

Pidvodni tehnologii

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Background: The rapid evolution of telecommunications has been marked by the integration of advanced technologies such as Long-Term Evolution (LTE), Fifth Generation (5G) networks, Unmanned Aerial Vehicles (UAVs or drones), the Internet of Things (IoT), and cloud computing. These technologies have significantly reshaped the landscape of data transmission and communication efficiency. Objective: This review aims to evaluate the collective impact and interconnectivity of LTE, 5G, drones, IoT, and cloud technologies in modern telecommunications, highlighting advancements and identifying future trends. Methods: A comprehensive literature review was conducted, examining recent advancements in each technology and their synergistic effects on telecommunications. The review focused on peer-reviewed articles, white papers, and industry reports published between 2015 and 2023. Results: Findings indicate that 5G technology enhances IoT and drone operations by providing higher bandwidth and lower latency, which are critical for real-time data processing and control. LTE's widespread adoption provides a robust foundation for transitioning to 5G networks. IoT and cloud computing have emerged as pivotal in managing and analyzing vast amounts of data generated by telecommunications networks, improving decision-making and operational efficiency. Conclusion: The convergence of LTE, 5G, drones, IoT, and cloud technologies is pivotal in driving the next wave of telecommunications innovation. Continuous advancements in these areas are expected to further enhance connectivity and scalability, paving the way for more integrated and smart telecommunication solutions. Future research should focus on security challenges and the development of unified regulatory frameworks to support this technological evolution.

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Section: Discussionsupporting

confidence: 72%

Revolutionizing Communication: How 5G, UAVs, and Cloud Technologies are Shaping the New Telecommunications Landscape

Jawad,

Abu-AlShaeer

2024

Pidvodni tehnologii

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“…Although the cited paper aims to improve 5g radio signals, it lacks bandwidth data when changing the trajectory of the UAV receiver/ transmitter. In [2,3], the model implemented and processed self-driving traffic using the Pareto distribution function and took into consideration the time used in traffic management using M/M/1 and the Weibull distribution. The disadvantage in [2,3] is the lack of information about the response of the channel quality indicator (CQI) in the frequency range exceeding the throughput intended for the equipment of the transmitter-receiver channel.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In [2,3], the model implemented and processed self-driving traffic using the Pareto distribution function and took into consideration the time used in traffic management using M/M/1 and the Weibull distribution. The disadvantage in [2,3] is the lack of information about the response of the channel quality indicator (CQI) in the frequency range exceeding the throughput intended for the equipment of the transmitter-receiver channel. Industrial traffic requires microsecond latency for IoT communication [4].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a traffic control method for unmanned aerial vehicles with the use of gNB-IOT in 5G

Qasim

Abu-Alshaeer

Jawad

et al. 2022

EEJET

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UAVs or drones as an alternative solution to providing high-quality Internet service in difficult terrain are environmentally friendly and do not consume electricity during the day as is the case with communication towers. But the developers of the network face difficulties in the drone communication system associated with the need to take into consideration unpredictable weather conditions and terrain, as well as the short life of the drone's batteries. Therefore, the object of this study is the process of managing UAV traffic through the use of gNB-IoT in 5G. The possibility of using a mobile UAV repeater during traffic management using radio resources (RR), radio access network (RAN), the infrastructure with broadcasting tools and dynamic connection using MU-MIMO modulation is shown. The use of these tools makes it possible to connect the drone to the wired base network from the provider and then restore the radio frequency signal and broadcast to another coverage area where this subscriber does not have network coverage, use the channel quality indicator (CQI) representation as a QoE function. Undoubtedly, traffic management is the process of obtaining information about traffic control from one endpoint to another, which confirms the reliability and management of data transmission. Meanwhile, drone traffic management can be used to reduce time delays and remove network interference by relying on Internet of Things programs that use NB-5G technology. The UAV's traffic management improvement process uses a proposed algorithm to generate dynamic flow data management to enhance traffic processing of flow control in the IoT

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“…Currently, there are works aimed at solving the problem of load balancing in Network Intrusion Detection System (NIDS) [3][4][5]. In [6] the parallel architecture of NIDS is considered, which overcomes the restriction on intrusion detection, distributing network traffic load on an array of sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Method of self-similar load balancing in network intrusion detection system

Ageyev¹,

Kirichenko²,

Радівілова³

et al. 2018

2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA)

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In this paper, the problem of load balancing in network intrusion detection system is considered. Load balancing method based on work of several components of network intrusion detection system and on the analysis of multifractal properties of incoming traffic is proposed. The proposed method takes into account a degree of multifractality for calculation of deep packet inspection time, on the basis of which the time necessary for comparing the packet with the signatures is calculated. Load balancing rules are generated using the estimated average deep packet inspection time and the multifractality parameters of incoming load. Comparative analysis of the proposed load balancing method with the standard one showed that the proposed method improves the quality of service parameters and the percentage of packets that are not analyzed. Keywords-load balancing, intrusion detection system, selfsimilar, deep packet inspectionI.

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LTE EPS network with self-similar traffic modeling for performance analysis

Cited by 21 publications

References 5 publications

Revolutionizing Communication: How 5G, UAVs, and Cloud Technologies are Shaping the New Telecommunications Landscape

Revolutionizing Communication: How 5G, UAVs, and Cloud Technologies are Shaping the New Telecommunications Landscape

Devising a traffic control method for unmanned aerial vehicles with the use of gNB-IOT in 5G

Method of self-similar load balancing in network intrusion detection system

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