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Throughput Analysis of MRT-ZF Wireless Body Area Network with Multi-Antenna AP

机译:多天线AP的MRT-ZF无线人体局域网的吞吐量分析

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This paper analyzes the throughput performance in a wireless body area network (WBAN) consisting of a multiantenna access point (AP), which intends to broadcast radio frequency (RF) power to several single-antenna on-body sensors then receives physiological information from them. Different path loss and shadowing values are considered in channel models between AP and sensors to be more reliable. In this paper, we design an improved time-splitting protocol which is adaptive according to channel conditions. The whole protocol is divided into two parts: power broadcasting phase and information receiving phase. In power broadcasting phase, the AP broadcasts RF power to sensors using maximal ratio transmission (MRT) method. In the information receiving phase, the AP receives information from all sensors simultaneously after sensors harvest RF energy in last power broadcasting phase, and zero-forcing (ZF) method is applied when the AP decodes information. In each time block, considering signal to noise plus interference power ratio (SINR) threshold, the sum information throughput is formulated as a relative entropy problem subject to the timesplitting ratio constraint. We propose the optimal solution to this problem, and numerical results demonstrate the effectiveness of the optimal time-splitting ratio.
机译:本文分析了由多天线接入点(AP)组成的无线人体局域网(WBAN)的吞吐性能,该网络打算向多个单天线人体传感器广播射频(RF)功率,然后从它们接收生理信息。在AP和传感器之间的信道模型中,可以考虑使用不同的路径损耗和阴影值,以提高可靠性。在本文中,我们设计了一种改进的时间分割协议,该协议可根据信道条件进行自适应。整个协议分为两部分:功率广播阶段和信息接收阶段。在功率广播阶段,AP使用最大比率传输(MRT)方法向传感器广播RF功率。在信息接收阶段,AP在传感器在最后一个功率广播阶段收获RF能量之后,同时从所有传感器接收信息,并且在AP解码信息时应用了强制零(ZF)方法。在每个时间块中,考虑信噪比和干扰功率比(SINR)阈值,总和信息吞吐量被公式化为受时间分割比约束的相对熵问题。我们提出了该问题的最佳解决方案,数值结果证明了最佳时间分割比的有效性。

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