Sparse OFDM: A Compressive Sensing Approach to Asynchronous Neighbor Discovery
Sparse OFDM: A Compressive Sensing Approach to Asynchronous Neighbor Discovery
复制标题
稀疏 OFDM：异步邻居发现的压缩感知方法
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
G. Wornell
中科院分区：
文献类型：
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作者：
Xu Chen;Dongning Guo;G. Wornell
提出了一种新的低复杂度无线邻居发现方案--稀疏正交频分复用(Sparse-ofdm)。其中一个应用领域是“物联网”(IoT)。设备数量非常多，而每个设备访问网络的概率很小，因此一帧中活动设备的数量远远少于本地设备总数。稀疏ofdm是一种低复杂度的一次性传输方案，它既利用了ofdm提供的并行信道接入，又利用了传输的突发特性。分析和仿真表明，当每个设备的传输延迟为整数个符号间隔时，稀疏OFDM能够以比随机接入方案小得多的码长实现成功的异步邻居发现。
A novel low-complexity wireless neighbor discovery scheme, referred to as sparse orthogonal frequency division multiplexing (sparse-OFDM) is proposed. One area of application is the "Internet of Things" (IoT). The number of devices is very large while every device accesses the network with a small probability, so the number of active devices in a frame is much smaller than the total local device population. Sparse OFDM is a one-shot transmission scheme with low complexity, which exploits both the parallel channel access offered by OFDM and the bursty nature of transmissions. When the transmission delay of each device is an integer number of symbol intervals, analysis and simulation show that sparse OFDM enables successful asynchronous neighbor discovery using a much smaller code length than random access schemes.