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WizBee: Wise ZigBee Coexistence via Interference Cancellation with Single Antenna

机译:WizBee:通过单天线干扰消除实现明智的ZigBee共存

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Coexistence of Wi-Fi and ZigBee in 2.4 GHz ISM band is a long standing and challenging problem. Previous solutions either require modifications of current ZigBee protocols or Wi-Fi re-configurations, which is not feasible in large-scale wireless sensor networks. In this paper, we present WizBee, a coexistence system using sink without changing current Wi-Fi and ZigBee design. WizBee is based on an observation that Wi-Fi signal is about 5 to 20 dB stronger than ZigBee signal in symmetric area, which leaves much room for applying interference cancelation technique to mitigate Wi-Fi interference, and extract ZigBee signals. However, we need to cancel the Wi-Fi interference perfectly for residual ZigBee signal decoding, which needs more accurate channel coefficient across data transmissions in spite of cross technology interference. For robust and accurate Wi-Fi decoding, we use soft Viterbi decoding with weighted confidence value over interfered subcarriers. Consequently, our solution uses decoded data for channel coefficient estimation instead of conventional training symbol based methods. The key insight is that, the signal recovery opportunity for cross technology coexistence, lies in multi-domain information, such as power, frequency and coding discrepancies. Using these information properly will improve the coexistence network throughput effectively. We implemented WizBee in USRP/GNURadio software radio platform, and studied the decoding performance of interference cancelation technique. Our extensive evaluations under real wireless conditions show that WizBee improves ZigBee throughput up to , with median throughput gain of .
机译:Wi-Fi和ZigBee在2.4 GHz ISM频段中共存是一个长期存在的挑战。以前的解决方案需要修改当前的ZigBee协议或Wi-Fi重新配置,这在大规模无线传感器网络中是不可行的。在本文中,我们介绍了WizBee,这是一种使用接收器的共存系统,无需更改当前的Wi-Fi和ZigBee设计。 WizBee的观察结果是,对称区域内的Wi-Fi信号比ZigBee信号强5至20 dB,这为应用干扰消除技术减轻Wi-Fi干扰并提取ZigBee信号留出了很大的空间。但是,我们需要完全消除Wi-Fi干扰以实现残余ZigBee信号解码,尽管存在交叉技术干扰,但仍需要跨数据传输的更准确的信道系数。为了实现鲁棒且准确的Wi-Fi解码,我们在干扰子载波上使用具有加权置信度值的软维特比解码。因此,我们的解决方案使用解码后的数据进行信道系数估计,而不是使用传统的基于训练符号的方法。关键的见解是,跨技术共存的信号恢复机会在于多域信息,例如功率,频率和编码差异。正确使用这些信息将有效提高共存网络吞吐量。我们在USRP / GNURadio软件无线电平台中实现了WizBee,并研究了干扰消除技术的解码性能。我们在真实无线条件下的广泛评估表明,WizBee最多可将ZigBee吞吐量提高到,中间吞吐量增益为。

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