Distance-Based Neighborhood Scanning for Handover Purposes in Network with Small Cells
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00227210" target="_blank" >RIV/68407700:21230/16:00227210 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7039282" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7039282</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TVT.2015.2402753" target="_blank" >10.1109/TVT.2015.2402753</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Distance-Based Neighborhood Scanning for Handover Purposes in Network with Small Cells
Popis výsledku v původním jazyce
Deployment of small cells into existing mobile networks can improve throughput and users’ quality of service. However, the new tier composed of small cells raises problems related to management of user mobility. Moving users must be able to discover cells in their neighborhood. For this purpose, the users perform neighborhood scanning. The scanning process should be frequent enough to avoid situations where the user is not aware of a close cell that has not been scanned. However, the frequent scanning of a high number of neighboring cells leads to wasting battery power for the user equipment and reducing the throughput of users. On the contrary, rare scanning can lead to a situation where a small cell is missing in the list of scanned cells, and thus, handover is not performed. This results in underutilization of the small cells and consequent overloading of macrocells. In this paper, we propose an efficient scanning algorithm suitable for future mobile networks. The objective of the proposed scheme is to maximize utilization of the small cells and to minimize energy consumption due to scanning. The proposal exploits graph theory to represent a principle of obstructed paths in combination with knowledge of the previously visited cell and the estimated distance between cells. As the results presented in this paper show, our algorithm reduces energy consumption due to scanning and enables higher exploitation of small cells by offloading macrocells.
Název v anglickém jazyce
Distance-Based Neighborhood Scanning for Handover Purposes in Network with Small Cells
Popis výsledku anglicky
Deployment of small cells into existing mobile networks can improve throughput and users’ quality of service. However, the new tier composed of small cells raises problems related to management of user mobility. Moving users must be able to discover cells in their neighborhood. For this purpose, the users perform neighborhood scanning. The scanning process should be frequent enough to avoid situations where the user is not aware of a close cell that has not been scanned. However, the frequent scanning of a high number of neighboring cells leads to wasting battery power for the user equipment and reducing the throughput of users. On the contrary, rare scanning can lead to a situation where a small cell is missing in the list of scanned cells, and thus, handover is not performed. This results in underutilization of the small cells and consequent overloading of macrocells. In this paper, we propose an efficient scanning algorithm suitable for future mobile networks. The objective of the proposed scheme is to maximize utilization of the small cells and to minimize energy consumption due to scanning. The proposal exploits graph theory to represent a principle of obstructed paths in combination with knowledge of the previously visited cell and the estimated distance between cells. As the results presented in this paper show, our algorithm reduces energy consumption due to scanning and enables higher exploitation of small cells by offloading macrocells.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Transactions on Vehicular Technology
ISSN
0018-9545
e-ISSN
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Svazek periodika
65
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
13
Strana od-do
883-895
Kód UT WoS článku
000370754000032
EID výsledku v databázi Scopus
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