Latency- and Reliability-Aware Reconfiguration of Network Slices in MEC-Enabled 6G Networks

In this paper, we address the problem of reconfiguration of network slices (NSs) to handle network node failures and mitigate service interruptions while satisfying the diverse service requirements of users and multiple industry verticals in beyond 5G and 6G networks. First, we formulate the latency- and reliability-aware NS reconfiguration problem as an integer linear programming (ILP) to minimize resource consumption. Then, to deal with the computational time complexity of ILP, we propose a matching algorithm-based heuristic solution. Through extensive simulations, we show that our proposed algorithm provides a nearoptimal solution in polynomial time with an optimality gap of 2.5% and consumes fewer resources while satisfying stringent latency and reliability service requirements.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/netsoft64993.2025.11080614
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00

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article

Latency- and Reliability-Aware Reconfiguration of Network Slices in MEC-Enabled 6G Networks

Prabhu Kaliyammal Thiruvasagam, C. Siva Ram Murthy, Vijeth J. Kotagi, Subhash Chandra Ponnam
1 links
Software-Defined Networks and 5G
article

Latency- and Reliability-Aware Reconfiguration of Network Slices in MEC-Enabled 6G Networks

Prabhu Kaliyammal Thiruvasagam, C. Siva Ram Murthy, Vijeth J. Kotagi, Subhash Chandra Ponnam
article en

Abstract

In this paper, we address the problem of reconfiguration of network slices (NSs) to handle network node failures and mitigate service interruptions while satisfying the diverse service requirements of users and multiple industry verticals in beyond 5G and 6G networks. First, we formulate the latency- and reliability-aware NS reconfiguration problem as an integer linear programming (ILP) to minimize resource consumption. Then, to deal with the computational time complexity of ILP, we propose a matching algorithm-based heuristic solution. Through extensive simulations, we show that our proposed algorithm provides a nearoptimal solution in polynomial time with an optimality gap of 2.5% and consumes fewer resources while satisfying stringent latency and reliability service requirements.

Indian Institute of Technology Madras (IN), Indian Institute of Technology Dharwad (IN)
Science and Engineering Research Board
Affordable and clean energy
Openalex Percentile: Top 81%
Software-Defined Networks and 5G
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Latency- and Reliability-Aware Reconfiguration of Network Slices in MEC-Enabled 6G Networks — Prabhu Kaliyammal Thiruvasagam, C. Siva Ram Murthy, et al. · (2025) | TGRS Research Map | TGRS