Title :
Congestion in spread spectrum wireless mobile communication networks
Author_Institution :
IBM-India Res. Lab., Indian Inst. of Technol., New Delhi, India
Abstract :
This paper surveys some macroscopic measures of congestion that pertain to spread spectrum networks which are used in network control to decide whether or not to admit a call. Such measures reflect the congestion in the region of the network that the call will interact with during its lifetime as opposed to properties of the user itself at call set up time which are of little value due to temporal variance. By developing network-wide measures of congestion for spread spectrum systems, the task of call admissions is much simplified. Three models of spread spectrum which are studied are network of cells employing CDMA, interference cancellation and a macrodiversity model. The most startling result here is that measures of congestion can be given in terms of eigenvalues of matrix defining the network geometry. Though it is a macroscopic quantity, it is measurable by any user or cell site in a decentralized way
Keywords :
cellular radio; code division multiple access; eigenvalues and eigenfunctions; interference suppression; matrix algebra; network topology; spread spectrum communication; telecommunication congestion control; CDMA; cellular network; interference cancellation; macrodiversity model; macroscopic congestion measures; matrix eigenvalues; network control; network geometry; spread spectrum communication; wireless mobile networks; Channel allocation; Eigenvalues and eigenfunctions; Intelligent networks; Interference cancellation; Laboratories; Mobile communication; Multiaccess communication; Spread spectrum communication; Time measurement; Wireless communication;
Conference_Titel :
Personal Wireless Communications, 2000 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
0-7803-5893-7
DOI :
10.1109/ICPWC.2000.905826