Self-optimizing Neighbor Cell List with Dynamic Threshold for Handover Purposes in Networks with Small Cells

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00223194" target="_blank" >RIV/68407700:21230/15:00223194 - isvavai.cz</a>

Výsledek na webu

<a href="http://onlinelibrary.wiley.com/doi/10.1002/wcm.2456/epdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1002/wcm.2456/epdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/wcm.2456" target="_blank" >10.1002/wcm.2456</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self-optimizing Neighbor Cell List with Dynamic Threshold for Handover Purposes in Networks with Small Cells

Popis výsledku v původním jazyce

To select a proper target cell for handover of mobile users, signal level of cells in user's neighborhood is scanned by a user equipment (UE). Cells assumed to be scanned are included in the so-called neighbor cell list (NCL). Conventionally, the NCL ismanaged according to the probability of handover of users to a target cell with fixed threshold. Nevertheless, the size of NCL could be significant if this approach is applied to networks with small cells. In this paper, we exploit knowledge of handoverprobability among cells derived from a handover history to reduce the amount of scanned cells. We introduce dynamic adaptation of the amount of cells to be scanned according to the quality of signal of a serving cell, measured by the UE. We also investigate impact of relation between the handover probability and the signal level to maximize efficiency of this approach. Further, the NCL management considering either summarized handover history of all UE or individual history of each user

Název v anglickém jazyce

Self-optimizing Neighbor Cell List with Dynamic Threshold for Handover Purposes in Networks with Small Cells

Popis výsledku anglicky

To select a proper target cell for handover of mobile users, signal level of cells in user's neighborhood is scanned by a user equipment (UE). Cells assumed to be scanned are included in the so-called neighbor cell list (NCL). Conventionally, the NCL ismanaged according to the probability of handover of users to a target cell with fixed threshold. Nevertheless, the size of NCL could be significant if this approach is applied to networks with small cells. In this paper, we exploit knowledge of handoverprobability among cells derived from a handover history to reduce the amount of scanned cells. We introduce dynamic adaptation of the amount of cells to be scanned according to the quality of signal of a serving cell, measured by the UE. We also investigate impact of relation between the handover probability and the signal level to maximize efficiency of this approach. Further, the NCL management considering either summarized handover history of all UE or individual history of each user

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GPP102%2F12%2FP613" target="_blank" >GPP102/12/P613: Predikční algoritmy pro efektivní řízení mobility uživatelů v bezdrátových sítích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Wireless Communications and Mobile Computing

ISSN

1530-8669

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

1729-1743

Kód UT WoS článku

000359808700004

EID výsledku v databázi Scopus

2-s2.0-84939464600