Isolation-based Sub-Slices for Throughput Optimization in 5G Radio Access Network

Ravindran, Sharvari; Chaudhuri, Saptarshi; Bapat, Jyotsna; Das, Debabrata

doi:10.1109/conecct47791.2019.9012928

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…How Subslicing Is Performed Benefits Limitations [7] Three verticals each contain subgroups of services. UEs grouped by similar SLA values Performance improvement achieved by subslicing: increased SNR and throughput.…”

Section: Papermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Lastly, a series of studies [ 7 , 8 , 9 ] attempted to address subslicing and its impact on performance. In [ 7 ], subslices were created for each vertical to include groups of UEs based on their similar SLA values. In [ 8 ], the focus was on optimizing the resource allocation for services, where UEs can connect to multiple subslices within a slice.…”

Section: Introductionmentioning

confidence: 99%

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Heuristic Radio Access Network Subslicing with User Clustering and Bandwidth Subpartitioning

Kulmar

Müürsepp

Alam

2023

Sensors

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In 5G and beyond, the network slicing is a crucial feature that ensures the fulfillment of service requirements. Nevertheless, the impact of the number of slices and slice size on the radio access network (RAN) slice performance has not yet been studied. This research is needed to understand the effects of creating subslices on slice resources to serve slice users and how the performance of RAN slices is affected by the number and size of these subslices. A slice is divided into numbers of subslices of different sizes, and the slice performance is evaluated based on the slice bandwidth utilization and slice goodput. A proposed subslicing algorithm is compared with k-means UE clustering and equal UE grouping. The MATLAB simulation results show that subslicing can improve slice performance. If the slice contains all UEs with a good block error ratio (BLER), then a slice performance improvement of up to 37% can be achieved, and it comes more from the decrease in bandwidth utilization than the increase in goodput. If a slice contains UEs with a poor BLER, then the slice performance can be improved by up to 84%, and it comes only from the goodput increase. The most important criterion in subslicing is the minimum subslice size in terms of resource blocks (RB), which is 73 for a slice that contains all good-BLER UEs. If a slice contains UEs with poor BLER, then the subslice can be smaller.

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Section: Papermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Heuristic Radio Access Network Subslicing with User Clustering and Bandwidth Subpartitioning

Kulmar

Müürsepp

Alam

2023

Sensors

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Distortion‐less video wireless transmission in 5G new radio using delay‐distortion‐rate optimization (DDRO)

Maheswari,

Padmaja

2024

Int J Communication

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SummaryIn this paper, a novel strategy of video communication over a 5G platform of new radio (NR) is developed, and it is named ViNR. With the support of optimization on the ViNR quality of service (QoS) system design, we stretched the outdated R‐D optimization to a novel delay‐distortion‐rate optimization (DDRO) control method. The entire model is partitioned with two types of coding: source coding and channel coding. For source coding, we affianced the inter‐frame prediction method of independent predicted frames (IPPPP) with Lagrange multiplier optimization. Channel coding is intricate with the minimization of delay‐distortion and getting the most out of the rate using resource allocation optimization in terms of sub‐slice allocation. To perform this sub‐slice resource assignment with optimization of DDR, the isolation resource allocation is premeditated in this work to ensure the service level profile of various groups of resource slots or grids dealing with the subject of middling delay and rate. The widespread simulation results divulge that the proposed algorithm NR‐DDRO achieves better QoS parameters of delay, distortion, and rate with the metrics of end‐to‐end distortion, encoding Y‐PSNR, encoding bit rate, encoding time, end‐to‐end PSNR, optimization time, and complete computation time.

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EESO: Energy Efficient System-resource Optimization of Multi-Sub-Slice-Connected User in 5G RAN

Ravindran

Chaudhuri

Bapat

et al. 2020

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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Isolation-based Sub-Slices for Throughput Optimization in 5G Radio Access Network

Cited by 4 publications

References 6 publications

Heuristic Radio Access Network Subslicing with User Clustering and Bandwidth Subpartitioning

Heuristic Radio Access Network Subslicing with User Clustering and Bandwidth Subpartitioning

Distortion‐less video wireless transmission in 5G new radio using delay‐distortion‐rate optimization (DDRO)

EESO: Energy Efficient System-resource Optimization of Multi-Sub-Slice-Connected User in 5G RAN

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