Multiple traffic scheduling for enhanced general packet radio service

W. T. Chen, J. L. Lo, Hung-Chang Hsiao

Research output: Contribution to journalConference articlepeer-review


The state-of-the-art cellular networks such as General Packet Radio Service systems (GPRS) with Enhanced Data rates for Global Evolution (EDGE) air interfaces can support a wide variety of applications, e.g., web browsing and video conferencing. The desired quality of communication channels, however, for such wireless networks depends on the interferences contributed by the location errors and the signal strength elapsed. To accommodate different quality-of-service (QoS) classes for such widely received applications, an efficient scheduling for air interfaces must be essentially supported. In this study, we propose a dynamical scheduling algorithm by together taking the interferences and varying QoS requirements into considerations for GPRS with EDGE air interfaces. Conceptually, the proposed scheme assigns priority orderly to the conversational, streaming, interactive and background traffic classes defined by ETSI. Each channel is equipped with an A-buffer to gather the acknowledge messages of the successfully transmitted packets to measure the utilization of the associated channel. A global monitor device tracks each mobile station's state. Based on the measured channel utilizations and the states of mobile stations, the proposed scheduling dynamically assigns channels to the ongoing traffics. From the event-driven simulations, the scheme can significantly outperform the scheme without any support of dynamically channel assignments especially for the interactive and background traffic classes.

Original languageEnglish
Pages (from-to)817-819
Number of pages3
JournalIEEE Vehicular Technology Conference
Issue number54ND
Publication statusPublished - 2001 Jan 1
EventIEEE 54th Vehicular Technology Conference (VTC FALL 2001) - Atlantic City, NJ, United States
Duration: 2001 Oct 72001 Oct 11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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