Analysis of Traffic Distribution and Blocking Probability in Future Wireless Networks

Abstract

Future wireless networks are envisioned to provide good quality multimedia services to mobile users anywhere at anytime. Traditional analysis of teletraffic in such networks assumes that call arrivals follow a Poisson process, as each cell is being modeled as an M/G/c/c queueing system. This does not reflect the real situation since handoff traffic arrivals are not generally Poissonian. In this paper, we propose to model each cell in future wireless networks as a G/G/ c/c queueing system. As such a model has not been explicitly addressed in the literature, our main contribution is to propose a solution which enables to evaluate both traffic distribution and blocking probability within each cell of the service area. Result analysis reveals that coefficient of variation of call arrivals has more impact on the network performance than coefficient of variation of channel holding time.

Analysis of Multiple Queue Model in Cellular Networks with Sub Rating of Channels

“…To improve the performance of mobile cellular networks, a novel scheme is presented by Amin and Islam [1] by incorporating delay of voice end user to the new originating calls over handoff calls in a two dimensional traffic model. Beaubrun et al [2] presented a general model (i.e. G/G/c/c queueing system) for teletraffic analysis in future wireless networks and found that coefficient of variation of call arrivals has more impact on the network performance than coefficient of variation of channel holding time and the system.…”

Evaluation of blocking probability in multiservice wireless networks

“…In a wireless network, blocking occurs when a mobile terminal fails to obtain a free channel for initiating a service request [6]. In this context, the communication is blocked and cleared from the network.…”

“…It is being considered as an important design parameter for evaluating the level of quality of service (QoS) offered by a wireless network [4]. Its evaluation can be derived from a traffic model [6]. This paper proposes a method that takes into account the diversity and requirements of multimedia applications for evaluating blocking probabilities in multiservice wireless networks.…”

Performance analysis of prioritized and non prioritized handoff call queuing schemes in mobile cellular networks

“…Several Queuing schemes incorporating FIFO queue have been proposed in literature [1][2][3]. These include priority and non priority schemes with corresponding importance reserved or denied for HO calls over new calls and also voice HO calls as compared to data HO calls.…”