Cascade network stability of synchronized traffic load balancing with heterogeneous energy efficiency policies

Date published

2024-12-08

Free to read from

2025-04-14

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Department

Type

Conference paper

ISSN

2334-0983

Format

Citation

Zou M, Guo W. (2024) Cascade network stability of synchronized traffic load balancing with heterogeneous energy efficiency policies. In: GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 8-12 December 2024, Cape Town, South Africa. pp. 1083-1088

Abstract

Cascade stability of load balancing is critical for ensuring high efficiency service delivery and preventing undesirable handovers. In energy efficient networks that employ diverse sleep mode operations, handing over traffic to neighbouring cells' expanded coverage must be done with minimal side effects. Current research is largely concerned with designing distributed and centralized efficient load balancing policies that are locally stable. There is a major research gap in identifying largescale cascade stability for networks with heterogeneous load balancing policies arising from diverse plug-and-play sleep mode policies in ORAN, which will cause heterogeneity in the network stability behaviour. Here, we investigate whether cells arbitrarily connected for load balancing and having an arbitrary number undergoing sleep mode can: (i) synchronize to a desirable load-balancing state, and (ii) maintain stability. For the first time, we establish the criterion for stability and prove its validity for any general load dynamics and random network topology. Whilst its general form allows all load balancing and sleep mode dynamics to be incorporated, we propose an ORAN architecture where the network service management and orchestration (SMO) must monitor new load balancing policies to ensure overall network cascade stability.

Description

Software Description

Software Language

Github

Keywords

4606 Distributed Computing and Systems Software, 46 Information and Computing Sciences, Sleep Research

DOI

Rights

Attribution 4.0 International

Relationships

Relationships

Resources

Funder/s

Engineering and Physical Sciences Research Council
The work is supported by EPSRC CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research (EP/X040518/1) (EP/Y037421/1).