Mobility pattern learning and route prediction based location management in PCS network

Senzaki, D.; Chakraborty, Goutam; Mikami, Hiroshi; Matsuhara, Masafumi

doi:10.1109/aina.2006.230

Cited by 6 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In static schemes, there is a predetermined set of LAs at which LU must be generated by a MES regardless of its mobility [2]. In dynamic schemes, LU is personalized in that it is based on the individual user's call and mobility pattern and the LA structure is user specific, such as the predictive strategy [3], which predicts the location of the MES based on the statistics of previous mobility and calling pattern; the profile based strategy [4], which determines whether to perform location update according to the individual MES profile kept by the system.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of location management for multi-beam GEO Mobile Satellite System

Liu

2008

2008 International Conference on Communications, Circuits and Systems

View full text Add to dashboard Cite

An adaptive location management scheme, called as MPA (Mobility Pattern Adaptive) scheme is proposed for the multi-beam GMSS (Geostationary Mobile Satellite System). Compared with the traditional schemes applied in the terrestrial mobile communication systems, a restraining updating strategy will be applied to the low velocity MES (Mobile Earth Station). Additionally, based on the information theory and data mining algorithm, the high velocity MES will establish a location area visiting list and adjust its updating strategy adaptively based on its mobility pattern which is learned from the visiting list. Simulation results show that the MPA location management scheme proposed decreases the signaling cost on location management significantly. Furthermore, this scheme has a favorable adaptability to the MES with various CMR (Call Mobility Ratio) and maintains a fairly low complexity.

show abstract

Section: Introductionmentioning

confidence: 99%

Design and analysis of location management for multi-beam GEO Mobile Satellite System

Liu

2008

2008 International Conference on Communications, Circuits and Systems

View full text Add to dashboard Cite

show abstract

“…After surveying cost-effective location-management strategies proposed in the literature [14][15][16][17][18][19][20][21][22][23][24][25][26], we gained the following facts. First, most newly proposed location-management strategies were based on conventional movement-based methods.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks

Tun

Kunavut²

2016

View full text Add to dashboard Cite

Abstract. To reduce the transmitted power of base stations in mobile wireless networks, continuous cell zooming algorithm is a feasible dynamic cell zooming algorithm. In this algorithm, location management is required in order to know the locations of users. Movement-based Update is not compatible and the application of Convention Periodic Update (CPU) scheme in continuous cell zooming algorithm can lead to a high signaling cost. Thus, aiming to highlight the effectiveness of newly proposed location update schemes, Time-Adaptive Periodic Update (TAPU) and Location-Adaptive Periodic Update (LAPU), a simulation-based performance analysis is conducted. Applying in continuous cell zooming algorithm, the performances of TAPU and LAPU are compared to that of Convention Periodic Update (CPU) scheme in terms of transmitted power ratio, outage ratio and the number of update messages. The performances of TAPU and LAPU are analyzed in a network with different number of users and in a network with different average moving speeds of users. The results show that compared to CPU, both TAPU and LAPU have no significant effect on power saving capability of continuous cell zooming algorithm in every scenario. Meanwhile, LAPU and TAPU give a significant reduction of update messages in every scenario. In terms of QoS effect, LAPU gives approximately the same outage ratio as CPU and a higher outage ratio occurs in TAPU.

show abstract

Discovering fuzzy personal moving profiles in wireless networks

Hong

Huang²,

Horng

2009

Applied Soft Computing

View full text Add to dashboard Cite

Mobility pattern learning and route prediction based location management in PCS network

Cited by 6 publications

References 7 publications

Design and analysis of location management for multi-beam GEO Mobile Satellite System

Design and analysis of location management for multi-beam GEO Mobile Satellite System

Performance Analysis of Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks

Discovering fuzzy personal moving profiles in wireless networks

Contact Info

Product

Resources

About