zCap: a zero configuration adaptive paging and mobility management mechanism

zCap : a zero configuration adaptive paging and mobility management mechanism

LIBRIS-ID:oai:DiVA.org:ri-24219
https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24219URI
https://doi.org/10.1002/nem.1830DOI
oai:researchportal.hkr.se/admin:publications/c6ce62bb-d69f-4ae7-8db5-141183f10ff6URI

Today, cellular networks rely on fixed collections of cells (tracking areas) for user equipment localisation. Locating users within these areas involves broadcast search (paging), which consumes radio bandwidth but reduces the user equipment signalling required for mobility management. Tracking areas are today manually configured, hard to adapt to local mobility and influence the load on several key resources in the network. We propose a decentralised and self-adaptive approach to mobility management based on a probabilistic model of local mobility. By estimating the parameters of this model from observations of user mobility collected online, we obtain a dynamic model from which we construct local neighbourhoods of cells where we are most likely to locate user equipment. We propose to replace the static tracking areas of current systems with neighbourhoods local to each cell. The model is also used to derive a multi-phase paging scheme, where the division of neighbourhood cells into consecutive phases balances response times and paging cost. The complete mechanism requires no manual tracking area configuration and performs localisation efficiently in terms of signalling and response times. Detailed simulations show that significant potential gains in localisation effi- ciency are possible while eliminating manual configuration of mobility management parameters. Variants of the proposal can be implemented within current (LTE) standards.

NATURVETENSKAP Data- och informationsvetenskap hsv//swe
NATURAL SCIENCES Computer and Information Sciences hsv//eng
TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Datorsystem hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems hsv//eng
Network management
Wireless & mobile networks
Configuration & performance management
Autonomic and self management
Distributed management
Probabilistic methods
Machine learning
Self-configuration
Mobility tracking & statistics
Paging procedures

Gillblad, DanielRISE,Decisions, Networks and Analytics lab,SICS(Swepub:ri)daniel.gillblad@ri.se (författare)
Arvidsson, ÅkeKristianstad University,Ericsson AB (författare)
RISEDecisions, Networks and Analytics lab (creator_code:org_t)

Ingår i:International Journal of Network Management: Wiley23:4, s. 235-2581055-71481099-1190

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Datorsystem

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