Application of neural networks on handover bicasting in LTE networks

Chiapin Wang, Shang Hung Lu

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

This study proposed a novel handover bicasting scheme for long term evolution (LTE) system. The conventional bicasting scheme makes the bicasting decision according to signal-to-noise ratios (SNR) to minimize the packet delay time and aim at seamless connectivity during the handover processing period. However, the SNR-based bicasting scheme cannot optimize the efficiency of backhaul resource utilization and quality of service (QoS) for users. Instead of using SNR as the traditional bicasting mechanism does, the proposed bicasting scheme exploits packet success rates (PSR) as the link quality estimator during the handover processing time in order to simultaneously reduce the waste of backhaul resources and provide QoS for users. Neural networks (NNs) are used to learn the correlation function between PSR and relative metric indicators, e.g. SNR, packet length, bit error rate (HER), and so on, and then to generalize the learned function for the whole cases of interest. We conducted simulations to compare the performance of our proposed scheme with that of SNR-based scheme. The results illustrate that our approach can effectively reduce the waste of system resources and improve user-perceived QoS in comparison with the SNR-based scheme, and thus enhance the overall efficiency of L TE networks.

原文英語
主出版物標題Proceedings - International Conference on Machine Learning and Cybernetics
發行者IEEE Computer Society
頁面1442-1449
頁數8
ISBN(電子)9781479902576
DOIs
出版狀態已發佈 - 2013
事件12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 - Tianjin, 中国
持續時間: 2013 七月 142013 七月 17

出版系列

名字Proceedings - International Conference on Machine Learning and Cybernetics
3
ISSN(列印)2160-133X
ISSN(電子)2160-1348

其他

其他12th International Conference on Machine Learning and Cybernetics, ICMLC 2013
國家中国
城市Tianjin
期間2013/07/142013/07/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

指紋 深入研究「Application of neural networks on handover bicasting in LTE networks」主題。共同形成了獨特的指紋。

引用此