Telecommunications – Radiotelephone system – Zoned or cellular telephone system
Reexamination Certificate
2005-12-20
2005-12-20
Feild, Joseph (Department: 2681)
Telecommunications
Radiotelephone system
Zoned or cellular telephone system
43, C370S331000
Reexamination Certificate
active
06978137
ABSTRACT:
A method and system for providing a handoff trigger in a wireless communication system. A mobile handoff prediction is generated with a mobile node. At least one handoff prediction is generated with at least one access network within radio range of the mobile node. The mobile handoff prediction and the at least one network handoff prediction are transmitted to a network control server. A handoff is initiated if the mobile handoff prediction and a respective one of the at least one handoff predictions match.
REFERENCES:
patent: 6574473 (2003-06-01), Rinne et al.
patent: 6647261 (2003-11-01), Banerjee
patent: 6757536 (2004-06-01), Kim et al.
patent: 6768726 (2004-07-01), Dorenbosch et al.
patent: 6792273 (2004-09-01), Tellinger et al.
patent: 6832087 (2004-12-01), Gwon et al.
patent: 2002/0131386 (2002-09-01), Gwon
patent: 2003/0016655 (2003-01-01), Gwon
patent: 2004/0090936 (2004-05-01), Cuny et al.
patent: 09-261711 (1997-10-01), None
patent: 10-276463 (1998-10-01), None
patent: 11-187452 (1999-07-01), None
El Malki, K., Calhoun, P.R. Hiller, T., Kempf, J., McCann, P.J., Singh, A., Soliman, H. and Thalanany, S., “Low Latency Handoffs in Mobile IPv4,” Feb. 23, 2001, http://www.ietf.org/internet-drafts/draft-ietf-mobileip-lowlatency-handoffs-v4-00.txt.
Funato Daichi
Gwon YoungJune L.
Takeshita Atsushi
Afshar Kamran
Feild Joseph
Kwok Edward C.
MacPherson Kwok & Chen & Heid LLP
NTT DoCoMo Inc.
LandOfFree
Aggregation point prediction matching for coherent layer... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Aggregation point prediction matching for coherent layer..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Aggregation point prediction matching for coherent layer... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3511870