DocumentCode
260851
Title
Survey of handover decision for next generation
Author
Tinkhede, Pooja ; Ingole, Piyush
Author_Institution
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
5
Abstract
Mobile wireless networks increase in popularity and pervasiveness, we are faced with the problem of merging a diverse number of wireless networks. The wireless communications of fourth generation is expected to combine a potentially large number of heterogeneous wireless technologies in what could be considered a vast step forward toward universal seamless access. One of the main problems for seamless mobility is the availability of reliable horizontal (intrasystem) and vertical (intersystem) handover strategy. Next generation heterogeneous wireless networks present the end users with guarantee of QoS inside each access network as well as during vertical handover between them. For assurance QoS, the vertical handover algorithm must be QoS aware, which cannot be reach with the utilized of traditional RSS as the vertical handoff criteria. Systematic handoff schemes enhance quality of service and provide flawless mobility. Discusses handoff related topic of fourth generation systems. Desirable handover features are presented.
Keywords
4G mobile communication; RSSI; mobility management (mobile radio); next generation networks; quality of service; QoS; fourth generation communications; handover decision; heterogeneous wireless technology; mobile wireless networks; next generation heterogeneous wireless networks; quality of service; seamless mobility; traditional RSS; universal seamless access; vertical handover; wireless communications; Base stations; Handover; Mobile communication; Mobile computing; Wireless networks; heterogeneous wireless networks; horizontal handover; vertical handover;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7033849
Filename
7033849
Link To Document