中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (6): 94-100.doi: 10.1016/S1005-8885(15)60700-2

• Wireless • 上一篇    

Adaptive WiFi-offloading algorithm based on attractor selection in heterogeneous wireless networks

胡智群1,温向明1,路兆铭1,王宜清1,凌大兵1   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2015-05-29 修回日期:2015-09-27 出版日期:2015-12-31 发布日期:2015-12-30
  • 通讯作者: 胡智群 E-mail:huzhiqun@bupt.edu.cn
  • 基金资助:
    This work was supported by the WLAN Achievement Transformation Based on SDN of Beijing Municipal Commission of Education (201501001).

Adaptive WiFi-offloading algorithm based on attractor selection in heterogeneous wireless networks

Hu Zhiqun, Wen Xiangming, Lu Zhaoming, Wang Yiqing, Ling Dabing   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2015-05-29 Revised:2015-09-27 Online:2015-12-31 Published:2015-12-30
  • Contact: Zhi-Qun HU E-mail:huzhiqun@bupt.edu.cn
  • Supported by:
    This work was supported by the WLAN Achievement Transformation Based on SDN of Beijing Municipal Commission of Education (201501001).

摘要: The unforeseen mobile data explosion poses a major challenge to the performance of today’s cellular networks, and cellular networks are in urgent need of novel solutions to handle such voluminous mobile data. Obviously, data offloading through third-party WiFi access points (APs) can effectively alleviate the data load in the cellular networks with a low operational and capital expenditure. In this paper, we propose and analyze an adaptive WiFi-offloading algorithm based on attractor selection in heterogeneous wireless networks. In the proposed WiFi-offloading algorithm, the WiFi system throughput and cellular throughput in the coverage area of WiFi, are mapped into the activity of the attractor, which is the reflector of the current network environment. When the current attractor activity is low, the network is dominated by the noise. Then, the noise triggers the controller to select adaptive attractor, an optimal WiFi-offloading ratio , to adapt to the dynamic network environment. And users offload the specific portion of traffic to the WiFi networks with the ratio of , which improves the throughput of heterogeneous wireless networks and alleviates the load of cellular networks. Through simulation, we show that the proposed WiFi-offloading algorithm outperforms the existing ones with 21% higher heterogeneous network throughput in a dense traffic environment.

关键词: WiFi-offloading algorithm , attractor selection, activity, heterogeneous wireless networks

Abstract: The unforeseen mobile data explosion poses a major challenge to the performance of today’s cellular networks, and cellular networks are in urgent need of novel solutions to handle such voluminous mobile data. Obviously, data offloading through third-party WiFi access points (APs) can effectively alleviate the data load in the cellular networks with a low operational and capital expenditure. In this paper, we propose and analyze an adaptive WiFi-offloading algorithm based on attractor selection in heterogeneous wireless networks. In the proposed WiFi-offloading algorithm, the WiFi system throughput and cellular throughput in the coverage area of WiFi, are mapped into the activity of the attractor, which is the reflector of the current network environment. When the current attractor activity is low, the network is dominated by the noise. Then, the noise triggers the controller to select adaptive attractor, an optimal WiFi-offloading ratio , to adapt to the dynamic network environment. And users offload the specific portion of traffic to the WiFi networks with the ratio of , which improves the throughput of heterogeneous wireless networks and alleviates the load of cellular networks. Through simulation, we show that the proposed WiFi-offloading algorithm outperforms the existing ones with 21% higher heterogeneous network throughput in a dense traffic environment.

Key words: WiFi-offloading algorithm , attractor selection, activity, heterogeneous wireless networks