Developing proximity-based clusters utilizing hierarchical partitioning can enhance nomadic cell formation for handling high handover rates in dense 5G and beyond networks, addressing scalability, real-time constraints, and pragmatic challenges overlooked by prior schemes.
A
vast number of mobile devices are anticipated to be supported by cellular
networks that are fifth generation (5G) and beyond, allowing them to move effortlessly
across minuscule cells. As a result, a very high handover rate is anticipated
for these incredibly dense networks. According to this study, proximity-based
clusters can be employed as nomadic cells coupled with aerial access networks
(AANs) to handle a large number of highly mobile devices in 5G and beyond
networks and lessen the load generated by quick handover requests. The mobile
devices are divided into proximity-based clusters using a two-level
hierarchical partitioning technique to generate these nomadic cells. Earlier
distributed mobility management systems aren't effective enough to handle the
handover rate anticipated for networks running 5G and beyond. Previous
group-based approaches are not suitable for real-time applications due to their
high computational complexity. The suggested method, in contrast to
conventional schemes, scales with the quantity of devices. Furthermore, the
establishment of a mobility group brings up pragmatic challenges that prior
schemes ignored, in addition to security and privacy concerns.
This study addresses these difficulties.
Keywords: 5G and Beyond Networks, Aerial Access Networks, Cellular Networks, Mobility Management.
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· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
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