Title :
Intelligent paging in wireless networks: random mobility models and grouping algorithms for locating subscribers
Author :
Tonguz, Ozan K. ; Mishra, Sumita ; Josyula, Ravikant
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
The impact of random user motion on intelligent paging schemes is examined and quantified. To this end, a straight-line motion pattern and two Markov chains are presented to model the random movement of mobile users (MUs) within the location area (LA). Results show that the cost of intelligent paging in the two cases of Markovian motion is more expensive than that of a simple straight-line motion. Also, two kinds of algorithms for grouping the paging areas (PAs) are considered. It is shown that grouping based on geographical location of PAs (rhombus grouping) is the most obvious one, whereas grouping based on probability of locating MUs (high-probability grouping) is more cost-effective
Keywords :
Markov processes; cellular radio; paging communication; probability; radio direction-finding; radio networks; random processes; GSM; Markov chains; Markovian motion; geographical location; grouping algorithms; high-probability grouping; intelligent paging; location area; mobile users; paging areas grouping; random mobility models; random user motion; rhombus grouping; straight-line motion pattern; subscriber location; wireless networks; Costs; GSM; Intelligent networks; Magnetic resonance imaging; Motion measurement; Paging strategies; Tail; Telecommunication traffic; Traffic control; Wireless networks;
Conference_Titel :
Vehicular Technology Conference, 1999 IEEE 49th
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-5565-2
DOI :
10.1109/VETEC.1999.780533
