Queueing modeling and analysis of wireless networks

Abstract

In traditional circuit-switching cellular networks supporting voice and low bit rate data, each mobile is allocated a channel during its holding time. But,the explosive growth of mobile users and the Internet accelerates the change of circuit-switching mode of operation to the packet-switching one. In order to support those demands for the high data rates and more advanced multi-media services in the wireless networks, many Medium Access Control(MAC) protocols aiming to share radio resources among prospective clients by utilizing the heterogeneous characteristics of traffic are proposed. A common feature of those protocols is the employment of packet-switching mode of operation and demand-based assignment with contention-based reservation. Performance of those proposed MAC protocols has been evaluated by computer simulation or some theoretical methods. In this dissertation we present a new approach to the theoretical analysis of the performance of MAC protocols which employ demand-based assignment with contention-based reservation schemes. Our method is based on the queueing theory. We classify mobiles in a cell into classes according to their traffic characteristics and analyze the state of a mobile representing a class through queueing modeling and analysis. The influence of a mobile on the performance of others is expressed by parameters involved in the contention and data transmission scheme. In Chapter 3 and 4, we model a data mobile in the wireless packet network and cdma2000, respectively, by a queueing system and analyze their performance. In particular, in Chapter 3, we present the procedure in detail to calculate the parameter which represents the influence of a mobile on the performance of others. We study a queueing system which is applicable to the control of hand-off call in a wireless network in Chapter5. Now we describe our works in more detail. In chapter 3 we consider a cell in a wireless packet network(MC-CDMA/DQRUMA network) with a variety...