Published January 1, 2021 | Version v1

CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing

  • 1. Centro Tecnológico de Telecomunicaciones de Cataluña (CTTC)

Description

In this paper, we address the concept of dynamic resource allocation for radio access network (RAN) slicing in beyond 5G (B5G) systems under service-level agreement (SLA). Using live network distributed key performance indicators (KPIs) mini-datasets, we introduce a new class of federated learning models that can capture the long-term cumulative distribution function (CDF) statistic-is usually used to define SLA-and enforce some preset constraints on it. Given that the CDF is also dataset-dependent and non-convex non-differentiable, we formulate the corresponding local optimization task using the proxy-Lagrangian framework and solve it via a non-zero sum two-player game strategy. Numerical results show that the proposed decentralized resource allocation approach enables SLA enforcement and significantly reduces the SLA violation rate for various slice-level KPIs.

Notes

This work has been supported in part by the research projects MonB5G (871780), AGAUR (2017-SGR-891) and SPOT5G (TEC2017-87456-P). © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.

Files

ICC_2021_Camera_Ready.pdf

Files (494.4 kB)

Name Size Download all
md5:38733f813f08de19b53db24820bd3cc1
494.4 kB Preview Download

Additional details

Funding

European Commission
MonB5G - Distributed management of Network Slices in beyond 5G 871780