Joint Detection and Decoding of Polar Coded 5G Control Channels
Joint Detection and Decoding of Polar Coded 5G Control Channels
复制标题
极化编码5G控制信道的联合检测和解码
DOI：
10.1109/twc.2019.2962113
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发表时间：
2020-03-01
影响因子：
10.4
通讯作者：
Ding, Zhi
中科院分区：
文献类型：
--
作者：
Jalali, Amin;Ding, Zhi
被称为5G新无线电（5G-NR）的蜂窝标准的最近发布已经采用极化码用于物理下行链路控制信道（PDCCH）中的错误保护。我们为5G多输入多输出（MIMO）收发器开发了一种新的联合检测和解码算法，以实现对实际障碍的鲁棒性，包括信道状态信息（CSI）错误，噪声，干扰和导频污染。为了优化PDCCH检测的性能，我们通过将伽罗瓦域码约束变换到复信号域来在信号检测期间并入极化码信息。具体而言，我们的新的联合线性规划（LP）公式考虑到变换的极化码约束。我们提出的检测器还可以与有效的连续消除列表（SCL）解码器集成，以提供上级接收机性能，并提高计算效率相比，涡轮方法联合检测解码设计。此外，类似于4G-LTE，每个活动用户设备（UE）必须在下行链路搜索空间中盲检测其自己的PDCCH。我们还引入了在检测器处容易获得的度量，该度量可以用于在将错误的PDCCH候选发送到解码器之前消除大多数错误的PDCCH候选，并且因此提高了用于5G-NR的PDCCH盲检测的计算效率。
The recent release of the cellular standard known as 5G New Radio (5G-NR) has adopted polar codes for error protection in the physical downlink control channel (PDCCH). We develop a novel joint detection and decoding algorithm for 5G multiple-input multiple-output (MIMO) transceivers to achieve robustness against practical obstacles including channel state information (CSI) errors, noise, interferences, and pilot contamination. To optimize the performance of PDCCH detection, we incorporate the polar code information during signal detection by transforming the Galois field code constraints into the complex signal field. Specifically, our novel joint linear programming (LP) formulation takes into consideration the transformed polar code constraints. Our proposed detector can also be integrated with effective successive cancellation list (SCL) decoders to deliver superior receiver performance and improve the computational efficiency compared to turbo approach joint detection decoding design. Moreover, similar to 4G-LTE, each active user equipment (UE) must blindly detect its own PDCCH in the downlink search space. We further introduce a metric readily available at the detector that can be used to eliminate most of wrong PDCCH candidates before sending them to the decoder and therefore, improve the computational efficiency of PDCCH blind detection for 5G-NR.