Improving bluetooth EDR data throughput using FEC and interleaving

Ling-Jyh Chen, Tony Sun, Yung Chih Chen

研究成果: 書貢獻/報告類型會議貢獻

7 引文 斯高帕斯(Scopus)

摘要

Wireless communication is inherently vulnerable to errors from the dynamic wireless environment. Link layer packets discarded due to these errors impose a serious limitation on the maximum achievable throughput in the wireless channel. To enhance the overall throughput of wireless communication, it is necessary to deploy link layer transmission schemes that is robust to the errors intrinsic to the wireless channel. In this paper, we investigated the impact of three link layer enhancement techniques on the new Enhanced Data Rate (EDR) mode detailed in the new Bluetooth spec v2.0. We first studied the APT algorithm, and used it to obtain the optimal packet type for different bit error rates. We then evaluated FEC/IFEC coding schemes for the new EDR packet types, assessed their ability to alleviate the impact of burst errors, and discussed the tradeoffs. Using analysis and simulation, we show that the performance of the new Bluetooth EDR mode can be significantly improved when FEC and/or IFEC techniques are employed.

原文英語
主出版物標題Mobile Ad-Hoc and Sensor Networks - 2nd International Conference, MSN 2006, Proceedings
頁面724-735
頁數12
DOIs
出版狀態已發佈 - 2006 十二月 1
事件2nd International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2006 - Hong Kong, 中国
持續時間: 2006 十二月 132006 十二月 15

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4325 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他2nd International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2006
國家中国
城市Hong Kong
期間06/12/1306/12/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Chen, L-J., Sun, T., & Chen, Y. C. (2006). Improving bluetooth EDR data throughput using FEC and interleaving. 於 Mobile Ad-Hoc and Sensor Networks - 2nd International Conference, MSN 2006, Proceedings (頁 724-735). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4325 LNCS). https://doi.org/10.1007/11943952_61