Title :
Pipeline Probability Paging for Wireless Systems
Author :
Xiao, Yang ; Chen, Hui ; Guizani, Mohsen
Author_Institution :
Department of Computer Science, The University of Memphis, Memphis, TN 38152 USA. Email: yangxiao@ieee.org
Abstract :
In this paper, we propose a pipeline probability paging to reduce delay and improve performance for wireless systems assuming prior knowledge on location probabilities of individual mobile terminals, under a paging delay constraint. Our study shows that the proposed scheme outperforms both the sequential probability paging scheme with prior knowledge on location probabilities of individual mobile terminals and the blanket paging scheme in terms of discovery rate and the total delay.
Keywords :
Algorithm design and analysis; Bandwidth; Computer science; Costs; Delay; Mobile computing; Paging strategies; Personal communication networks; Pipeline processing; Scheduling; Concurrent; Paging; Parallel; Pipeline; Wireless Systems;
Conference_Titel :
Communications, 2006. ICC '06. IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0355-3
Electronic_ISBN :
8164-9547
DOI :
10.1109/ICC.2006.254969