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arXiv 1705.02111cs.ITeess.SPmath.IT
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极化码的盲检测

Blind Detection of Polar Codes

Telecommunications Circuits Laboratory, École polytechnique fédérale de Lausanne (EPFL)(洛桑联邦理工学院电信电路实验室)

Pascal Giard, Alexios Balatsoukas-Stimming, Andreas Burg

AI总结:

针对5G控制信道,提出一种利用冻结比特位置先验知识的低复杂度极化码盲检测算法,通过新度量有效区分极化编码帧与其他数据。

摘要:

极化码最近被选用于保护3GPP定义的下一代移动通信标准(5G)中的控制信道信息。因此,接收机必须实现极化编码帧的盲检测,以保持复杂度、延迟和功耗的可控性。作为一类新提出的分组码,极化码盲检测问题受到的关注很少。在这项工作中,我们提出了一种用于极化编码帧的低复杂度盲检测算法。该算法基于一种新颖的检测度量,其更新规则利用冻结比特位置的先验知识,利用这些位置在极化编码数据块上施加的固有结构。我们通过考虑检测度量的累积分布函数和接收机工作特性,表明所提出的检测度量能够清晰地区分极化编码帧与其他类型的数据。所呈现的结果针对5G标准化工作的讨论,即我们考虑一个短的低速率极化码与CRC级联。

英文摘要:

Polar codes were recently chosen to protect the control channel information in the next-generation mobile communication standard (5G) defined by the 3GPP. As a result, receivers will have to implement blind detection of polar coded frames in order to keep complexity, latency, and power consumption tractable. As a newly proposed class of block codes, the problem of polar-code blind detection has received very little attention. In this work, we propose a low-complexity blind-detection algorithm for polar-encoded frames. We base this algorithm on a novel detection metric with update rules that leverage the a priori knowledge of the frozen-bit locations, exploiting the inherent structures that these locations impose on a polar-encoded block of data. We show that the proposed detection metric allows to clearly distinguish polar-encoded frames from other types of data by considering the cumulative distribution functions of the detection metric, and the receiver operating characteristic. The presented results are tailored to the 5G standardization effort discussions, i.e., we consider a short low-rate polar code concatenated with a CRC.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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