Fog radio access network system control scheme based on the embedded game model

Kim, Sung-Wook

doi:10.1186/s13638-017-0900-9

Cited by 9 publications

(6 citation statements)

References 24 publications

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“…Moreover, queuing theory has been utilized in order to derive the waiting delay and latency ratio. In [177], the authors develop a system control scheme based on embedded game model for the F-RAN. In proposed scheme, cache placement, spectrum allocation, and service admission algorithms are jointly designed in order to maximize the efficiency of the system.…”

Section: ) Performancementioning

confidence: 99%

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications-such as automobiles, public transportation, medical care, energy, public safety, agriculture, entertainment, manufacturing, and so on. Rapid increases are predicted to occur in user density, traffic volume, and data rate. This calls for novel solutions to the requirements of both mobile users and vertical industries in the next decade. Among various available options, one that appears attractive is to redesign the network architecture-more specifically, to reconstruct the radio access network (RAN). In this paper, we present an inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-RAN, virtualized cloud-RAN, and fog-RAN. We compare them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance. Moreover, we review the key enabling technologies for 5G systems, such as multi-access edge computing, network function virtualization, softwaredefined networking, and network slicing; and some crucial radio access technologies (RATs), such as millimeter wave, massive multi-input multi-output, device-to-device communication, and massive machinetype communication. Last but not least, we discuss the major research challenges in 5G RAN and 5G RATs and identify several possible directions of future research.

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Section: ) Performancementioning

confidence: 99%

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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“…F-RAN equips Remote Radio Heads (RRHs) with signal processing and caching functionalities, which can improve the traditional C-RAN architecture by minimizing end-to-end latency. The idea is simply represented by bringing the functionalities of cloud computing closer to the end UEs for quick response and fast decision making [23] via decentralized management. The components of the F-RAN are similar to C-RAN architecture in shifting the baseband processing from dedicated hardware on the ground to be a virtual base station in the cloud; except that the RRHs are enhanced with the local caches for storage regularly demanded contents to reduce the latency of content delivery.…”

Section: A Fog-radio Access Networkmentioning

confidence: 99%

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

Mahmood

Kareem

Nasser

2022

ELEKTRON ELEKTROTECH

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Cellular networks have witnessed an unprecedented expansion represented by the number of subscribers in addition to the unlimited number of applications. In the era of IoT, connections may involve machines working side by side with humans on the same network. Tidal load is one of the key challenges in mobile networks, which represents a temporary phenomenon resulting from increasing traffic volumes at certain times of the day in particular places. This leads to the problem of overutilization of some base stations, particularly in fixed resources allocation systems such as 4G LTE architecture, which contains physically separated base stations. This results in increasing the dropping and blocking probability for the incoming calls in an overloaded area, while others suffer from underutilization or might be almost idle for a particular time. In this paper, an Elastic Call Admission Control (ECAC) approach is proposed to reduce the probability of blocking and dropping to improve the network performance in the tidal load scenario. This is achieved using the concept of gain multiplexing technique and cloud-based cellular architecture for utilizing the shared available recourses of the co-located virtual base stations in the cloud. A Fuzzy Type 2 (FT2) system is used to maintain the switching decision for resource sharing mode, the network load is predicted in advance using Gaussian Process Regression (GPR) model. Performance evaluation is carried out using the cloud-based Fog-Radio Access Network (F-RAN) platform. Compared to legacy LTE architecture, the results illustrate a noticeable enhancement in terms of minimizing blocking probability, enhancing overall network performance represented by network data throughput, and network utilization.

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“…A detection of fog forecast infiltration in fog radio access networks (F-RAN). 30 IDS are not used directly on F-RANs because fog nodes control resources due to communication overhead and computational complexity.…”

Section: Literature Surveymentioning

confidence: 99%

“…The results of EIDS-ACC-OD technique showed the accuracy, precision, recall, specificity, F1-score, false positive ratio (FRT), and false negative ratio (FNR). From the review, [21][22][23][24][25][26][27][28][29][30][31][32][33] with the increased use of the Internet and the services it provides, there has been an increase in cyber attacks for the use of information. Cloud computing is a technology used to store and maintain user information due to its simplicity and low budget services.…”

Section: Research Gapmentioning

confidence: 99%

A hybrid soft computing technique for intrusion detection in web and cloud environment

Maheswari¹,

Siva²,

Nalinipriya

2022

Concurrency and Computation

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Cloud computing environment contains important, essential, or confidential information; therefore, a security solution is needed to prevent this environment from potential attacks. In short, cloud computing has become one of the most sought after technologies in the field of information technology, and among the most dangerous threats. In this article, we propose a hybrid soft computing technique for intrusion detection in web and cloud environment (ST‐IDS). In ST‐IDS, we illustrate whale integrated slap swarm optimization algorithm for pre‐processing which remove the unwanted/repeated data's in dataset. We introduce new clustering technique based on modified tug‐of‐war optimization algorithm which groups the data in different segments. Then, we develop hybrid machine learning technique that is, capsule learning based neural network which categorize the attack in cloud environment. Finally, the proposed ST‐IDS technique can evaluate through standard open source datasets are KDD cup'99 and NSL‐KDD. The performance comparison of the proposed ST‐IDS technique using existing innovative technologies in terms of accuracy, precession, recall, specificity, F measure, false positive rate, and false negative rate.

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Fog radio access network system control scheme based on the embedded game model

Cited by 9 publications

References 24 publications

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

Design of Elastic Call Admission Control in Tidal Load Scenario for Cloud-based Cellular Networks

A hybrid soft computing technique for intrusion detection in web and cloud environment

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