Adaptive Beacon Transmission in Cognitive-OFDM-Based Industrial Wireless Networks
Adaptive Beacon Transmission in Cognitive-OFDM-Based Industrial Wireless Networks
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DOI：
10.1109/lcomm.2016.2617864
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发表时间：
2017-01-01
期刊：
影响因子：
--
通讯作者：
Guan, Xinping
中科院分区：
文献类型：
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作者：
Li, Lian;Chen, Cailian;Guan, Xinping
拥挤的工业科学医疗频段中异构网络的无线干扰为工业无线网络（IWN）的可靠通信设置了技术障碍。在这封信中，提出了一种自适应信标传输策略，用于动态调度认知OFDM IWN，以避免信道干扰，而不使用专用的控制信道。信标的前导码在PHY层中被专门设计为嵌入特定信息。一个广义似然比测试（GLRT）为基础的方法来检测的信标传输和最大似然估计器被用来估计嵌入在前导码中的信标信息。通过仿真和实际实验，对GLRT方法检测自适应信标传输的性能进行了评估。所提出的自适应信标传输的检测和解码精度接近100%，即使在干扰下也具有合理的信噪比。
Wireless interferences from heterogeneous networks in the crowded industrial scientific medical band set up technical barriers for reliable communication of industrial wireless network (IWN). In this letter, an adaptive beacon transmission strategy is proposed for dynamically scheduling the cognitive-OFDM IWN to avoid channel interferences without using a dedicated control channel. Preambles of beacons are specifically designed in the PHY layer to embed specific information. A generalized likelihood ratio test (GLRT)-based approach is applied to detect the beacon transmission and a maximum likelihood estimator is employed to estimate the beacon information embedded in the preamble. The performance of the GLRT approach to detect the adaptive beacon transmission is evaluated through simulations and practical experiments. The detection and decoding accuracies of the proposed adaptive beacon transmission are close to 100% with reasonable signal-to-noise ratio even under interference.