Performance analysis of cellular mobile communication networks supporting multimedia services
Mobile Networks and Applications
On the Modeling of WWW Request Arrivals
ICPP '99 Proceedings of the 1999 International Workshops on Parallel Processing
A Dynamic Channel Pre-Reservation Scheme for Handoffs with GoS Guarantee in Mobile Networks
ISCC '99 Proceedings of the The Fourth IEEE Symposium on Computers and Communications
Location management methods for third generation mobile systems
IEEE Communications Magazine
DiffServ resource allocation for fast handoff in wireless mobile Internet
IEEE Communications Magazine
QoS routing for anycast communications: motivation and an architecture for DiffServ networks
IEEE Communications Magazine
Teletraffic performance of GSM900/DCS1800 in street microcells
IEEE Communications Magazine
Adaptive resource allocation for prioritized call admission over an ATM-based wireless PCN
IEEE Journal on Selected Areas in Communications
A fast adaptive beamforming algorithm based on a simple DOA estimation method
International Journal of Wireless and Mobile Computing
A sighting-aware obstacle mobility model for ad hoc network
International Journal of Wireless and Mobile Computing
Hi-index | 0.00 |
A radio service and more particularly for multimedia services, the availability of the resources often fluctuates, according to the load, mobility of users and variation of the transmission quality. The fluctuation is a major problem for radio network operators to adapt the use of the resources considering the mobility of the users. The allocation of the bandwidth of various types of traffic is done only at fresh call arrival or for a handover. The mobility of the users has an important influence on the configuration of the network. Such intercellular handover modifies the distribution of the traffic in the system and generates additional signalling load. In this study, we consider the mobility of the users in the dimensioning network and four traffic models (voice, video, www and ftp). This mobility model allows us to determine at the cell level as well as at the entire system level, for QoS parameters, threshold values beyond which a call can be blocked.