An Efficient approach Network Selection and Fast Delivery Handover Route 5G LTE Network

Mishra, O. P.; Morghare, Gaurav

doi:10.1109/icoei.2019.8862791

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Morghare and Mishra [46] presented the neural networkbased handover approach. Here, the Particle Swarm Optimization (PSO) approach was employed with the neural network scheme.…”

Section: F) Neural Network-based Approachesmentioning

confidence: 99%

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Kiran¹,

Rao²

2022

Infocommunications journal

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In recent mobile networks, due to the huge number of subscribers, the traffic may occur rapidly; therefore, it is complex to guarantee the accurate operation of the network. On the other hand, the Fifth generation (5G) network plays a vital role in the handover mechanism. Handover management is a prominent issue in 5G heterogeneous networks. Therefore, the Handover approach relocates the connection between the user equipment and the consequent terminal from one network to another. Furthermore, the handover approaches manage each active connection for the user equipment. This survey offers an extensive analysis of 50 research papers based on existing handover approaches in the 5G heterogeneous network. Finally, existing methods considering conventional vertical handover management strategies are elaborated to improve devising effective vertical handover management strategies. Moreover, the possible future research directions in attaining efficient vertical handover management in a 5G heterogeneous network are elaborated.

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“…Morghare and Mishra [46] presented the neural networkbased handover approach. Here, the Particle Swarm Optimization (PSO) approach was employed with the neural network scheme.…”

Section: F) Neural Network-based Approachesmentioning

confidence: 99%

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Kiran¹,

Rao²

2022

Infocommunications journal

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“…Mishra and Morghare (2019) introduced a neural network particle swarm optimization method in the 5G long-term evolution network. The developed method was used for the network selection and the fast delivery handover route to increase the efficiency of the system.…”

Section: Literature Surveymentioning

confidence: 99%

A survey on various handover technologies in 5G network using the modular handover modules

Kulkarni

Bavarva

2021

IJPCC

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Purpose Fifth-generation (5G) networks play a significant role in handover methods. 5G wireless network is open, flexible and highly heterogeneous along with the overlay coverage and small cell deployments. Handover management is one of the main problems in the heterogeneous network. Also, handover satisfies the needs of ultra-reliable communications along with very high reliability and availability in 5G networks. Handover management deals with every active connection of a user’s device, which moves the connection between the user’s device and the counterparty from one network point to another. Thus, the handover decision determines the best access network and also decides whether the handover is performed or not. Design/methodology/approach The main intention of this survey is to review several existing handover technologies in 5G. Using the categories of analysis, the existing techniques are divided into different techniques such as authentication-based techniques, blockchain-based techniques, software-defined-based techniques and radio access-based techniques. The survey is made by considering the methods such as used software, categorization of methods and used in the research works. Furthermore, the handover rate is considered for performance evaluation for the handover techniques in 5G. The drawbacks present in the existing review papers are elaborated in research gaps and issues division. Findings Through the detailed analysis and discussion, it can be summarized that the widely concerned evaluation metric for the performance evaluation is the handover rate. It is exploited that the handover rate within the range of 91%–99% is achieved by three research papers. Originality/value A survey on the various handover mechanisms in 5G networks is expected in this study. The research papers used in this survey are gathered from different sources such as Google Scholar and IEEE. Also, this survey suggests a further extension for the handover mechanism in 5G networks by considering various research gaps and issues.

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Wideband Spectrum Compressive Sensing Technique in Cognitive Radio Networks

Morghare

Bhadauria

2022

Algorithms for Intelligent Systems

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An Efficient approach Network Selection and Fast Delivery Handover Route 5G LTE Network

Cited by 4 publications

References 26 publications

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

A survey on various handover technologies in 5G network using the modular handover modules

Wideband Spectrum Compressive Sensing Technique in Cognitive Radio Networks

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