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Two-Stage Multiple Access for Many Devices of Unique Identifications Over Frequency-Selective Fading Channels

机译:选频衰落信道上许多设备的唯一标识的两阶段多路访问

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摘要

In this paper, we consider sparse index multiple access for uplink random access in a wireless system of a number of devices when a fraction of them are active. This multiple access scheme is suitable for the case that an access point (AP) needs not only to receive data symbols, but also to identify active devices when there are a number of devices with unique identification sequences (the number of devices can be easily more than a million) with low signaling/control overhead. We propose a two-stage transmission scheme for random access and derive computationally efficient methods to estimate the channel state information (CSI) of active devices over frequency-selective fading channels in the first stage and to perform joint active device identification and data detection in the second stage using a well-known sparse signal estimation method in compressive sensing. Simulation results demonstrate that the proposed approach can successfully estimate the CSI of active devices under reasonable conditions and identify the unique identification sequences or vectors of active devices with a high probability. For example, when 6 out of 64 devices become active, the AP can identify all six devices (using estimated CSI) with a probability higher than 1−10−2 over frequency-selective fading channels.
机译:在本文中,当一部分设备处于活动状态时,我们将稀疏索引多址访问用于多个设备的无线系统中的上行链路随机访问。这种多址方案适用于以下情况:一个接入点(AP)不仅需要接收数据符号,而且还需要在存在多个具有唯一标识序列的设备时标识活动设备(设备数量可以容易地更多)超过一百万),且信令/控制开销较低。我们提出了一种用于随机访问的两阶段传输方案,并推导了计算有效的方法来估计第一阶段中频率选择性衰落信道上有源设备的信道状态信息(CSI),并在第一阶段执行联合有源设备识别和数据检测第二阶段在压缩感测中使用众所周知的稀疏信号估计方法。仿真结果表明,该方法能够在合理的条件下成功估计有源设备的CSI,并以很高的概率识别出有源设备的唯一识别序列或向量。例如,当64个设备中有6个处于活动状态时,AP可以在频率选择衰落信道上以高于1-10-2的概率识别所有六个设备(使用估计的CSI)。

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