Congestion-aware downlink scheduling for IEEE 802.16j multi-hop relay networks

Yi Cheng Chan, Chang Lung Wu, Chin Yu Lai

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

In this paper, a congestion-aware downlink scheduling for IEEE 802.16j multi-hop relay networks is proposed. In the mechanism, a relay station (RS) can report its queue status of each downlink connection to the upstream station. Based on the reported information, the upstream station may properly schedule its downlink transmission and hence the system performance benefits. We focus on the following three issues to achieve the goal. First, to find a congested queue, we develop a measuring method to monitor queue statuses in a RS. Then, a report system is designed to carry the information. Finally, a congestion-aware downlink scheduling algorithm of a MR-BS and RS is devised to properly schedule the downlink transmission. According to the NS-2 simulation results, the proposed scheme effectively mitigates the congestion problem in a RS and improves the system performance. Compared with the contribution of downlink flow control presented in the IEEE 802.16j task group, the proposed scheduling scheme is able to increase the network throughput up to 60.11% and reduce the dropping ratio up to 26.21%.

Original languageEnglish
DOIs
Publication statusPublished - 2008 Jan 1
Event4th Annual International Conference on Wireless Internet, WICON 2008 - Maui, United States
Duration: 2008 Nov 172008 Nov 19

Conference

Conference4th Annual International Conference on Wireless Internet, WICON 2008
CountryUnited States
CityMaui
Period08-11-1708-11-19

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Chan, Y. C., Wu, C. L., & Lai, C. Y. (2008). Congestion-aware downlink scheduling for IEEE 802.16j multi-hop relay networks. Paper presented at 4th Annual International Conference on Wireless Internet, WICON 2008, Maui, United States. https://doi.org/10.4108/ICST.WICON2008.4794