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On-line learning algorithm for dynamic sensitivity control in IEEE 802. 11ax network 被引量:1

On-line learning algorithm for dynamic sensitivity control in IEEE 802. 11ax network
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摘要 The popularity of IEEE 802. 11 based wireless local area network( WLAN) increased significantly in recent years and resulted in the dense deployment of WLANs. While densification can contribute to increasing coverage,it could also lead to increasing interference and cannot insure high spatial reuse due to the current physical carrier sensing of IEEE 802. 11. To tackle these challenges,the dynamic sensitivity control( DSC) is considered in IEEE802. 11 ax,which dynamically selects the appropriate carrier sensing threshold( CST) to improve spectrum efficiency and enhance spatial reuse in densely deployed network. A dynamic Q-learning based CST selection method is proposed to enable a network to select the optimal CST according to the channel condition. Simulation results show that the proposed scheme provides 40% aggregate throughput gain of a dense network when compared with legacy IEEE 802. 11. The popularity of IEEE 802. 11 based wireless local area network( WLAN) increased significantly in recent years and resulted in the dense deployment of WLANs. While densification can contribute to increasing coverage,it could also lead to increasing interference and cannot insure high spatial reuse due to the current physical carrier sensing of IEEE 802. 11. To tackle these challenges,the dynamic sensitivity control( DSC) is considered in IEEE802. 11 ax,which dynamically selects the appropriate carrier sensing threshold( CST) to improve spectrum efficiency and enhance spatial reuse in densely deployed network. A dynamic Q-learning based CST selection method is proposed to enable a network to select the optimal CST according to the channel condition. Simulation results show that the proposed scheme provides 40% aggregate throughput gain of a dense network when compared with legacy IEEE 802. 11.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2018年第5期67-74,共8页 中国邮电高校学报(英文版)
基金 supported by the National Natural Science Foundation of China(61671073) the WLAN Achievement Transformation Based on SDN of Beijing Municipal Commission of Education(201501001)
关键词 IEEE 802. llax reinforcement learning dynamic sensitivity control dense network IEEE 802. llax reinforcement learning dynamic sensitivity control dense network
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