DocumentCode :
3030583
Title :
Autonomous Migration with Admission Control for Mobiles Affected by Access Network Failures
Author :
Griffith, David
Author_Institution :
Nat. Inst. of Stand. & Technol. (NIST), Gaithersburg, MD, USA
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
5
Abstract :
When wireless network access points (APs) fail, every mobile user that is connected through the failed resources performs an unanticipated hard handover, resulting in disrupted connections. The APs the users migrate to, if already heavily loaded, may restrict the number of incoming users using call admission control (CAC) algorithms. Rejected users will experience loss of connectivity for longer periods of time as they are forced to try to connect to other available APs. This paper quantifies the effect of limited capacity in target APs when multiple displaced users attempt to connect to them. We derive expressions for handover success probability and the mean number of displaced users that are successfully admitted on their first attempt. This leads to a simple, decentralized probabilistic scheme that displaced users can use to minimize crowding effects at target APs. We also obtain a performance bound by developing an optimal reassignment scheme using linear programming, and we compare both schemes to an algorithm that chooses an AP based on received signal strength (RSS).
Keywords :
linear programming; mobility management (mobile radio); telecommunication congestion control; access network failure; access points; autonomous migration; call admission control; crowding effects; handover success probability; linear programming; received signal strength; wireless networks; Admission control; Call admission control; Centralized control; Displacement control; Linear programming; Mobile communication; NIST; Personnel; Safety; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3437-4
Type :
conf
DOI :
10.1109/ICCW.2009.5208010
Filename :
5208010
Link To Document :
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