User movement tendency prediction and call admission control for cellular networks

Author

Cui, Wei ; Shen, Xuemin

Author_Institution

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada

Volume

2

fYear

2000

fDate

2000

Firstpage

670

Abstract

A user movement tendency notion is introduced to characterize user moving behavior. An algorithm is developed for user movement tendency prediction. Based on the predicted user movement tendency, a connection admission tree (CAC) scheme which explores individual user mobility information is proposed. Simulation results show the proposed CAC scheme achieves better performance in terms of handoff dropping rate and resource utilization

Keywords

asynchronous transfer mode; cellular radio; packet radio networks; telecommunication congestion control; ATM cellular networks; CAC; algorithm; call admission control; handoff dropping rate; performance; resource utilization; simulation results; user mobility information; user movement tendency prediction; user moving behavior; virtual connection tree architecture; Call admission control; Communication system traffic control; Information processing; Land mobile radio cellular systems; Mobile communication; Prediction algorithms; Quality of service; Resource management; Roads; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2000. ICC 2000. 2000 IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-6283-7

Type

conf

DOI

10.1109/ICC.2000.853584

Filename

853584