首页> 外文会议>2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications >A Convolutionally Encoded OSTBC System with SNR-Adaptive Constellations for Low-Latency and Low-Complexity Communications
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A Convolutionally Encoded OSTBC System with SNR-Adaptive Constellations for Low-Latency and Low-Complexity Communications

机译:具有SNR自适应星座图的卷积编码OSTBC系统,用于低延迟和低复杂度通信

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S-The 5G and beyond wireless networks target novel use-cases with stringent requirements on physical layer parameters such as latency, which may necessitate design decisions with trade-offs. Choosing a channel coding scheme which gives the best error performance may not be the most appropriate choice in mission-critical machine-type communications which require very low latency. In such contexts, convolutional codes may be preferable due to their faster decoding and simplicity. Motivated by this observation, we introduce a convolutionally encoded OSTBC system with SNR-adaptive constellations for low-latency and low-complexity use-cases. Numerical results obtained for the versatile Nakagami-m channel demonstrate that the investigated scheme results in considerable gains in terms of error performance and decoding latency.1
机译:S-5G及以后的无线网络以新颖的用例为目标,这些用例对诸如延迟等物理层参数有严格的要求,这可能需要权衡设计决策。在要求非常低延迟的关键任务机器类型通信中,选择提供最佳错误性能的信道编码方案可能不是最合适的选择。在这种情况下,卷积码由于其更快的解码和简单性而可能是优选的。基于这种观察,我们针对低延迟和低复杂度的用例引入了具有SNR自适应星座图的卷积编码OSTBC系统。从通用Nakagami-m通道获得的数值结果表明,所研究的方案在错误性能和解码延迟方面带来了可观的收益。\ n 1

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