论文标题
稀疏编码的代码簿索引调制
Sparse-Encoded Codebook Index Modulation
论文作者
论文摘要
超级可靠和低延迟通信（URLLC）在5G网络中扮演着关键任务应用程序的主要角色。稀疏矢量编码（SVC）通过在BIT错误率（BER）方面启用卓越的性能来成为未来URLLC网络的强大候选者。 SVC利用虚拟数字域（VDD）和压缩传感（CS）算法来通过活动符号索引进行编码和解码其信息。在本文中，首先，为SVC方案提出了一种巧妙的编码/解码算法，该方案允许使用所有可能的激活模式（AP），从而提高了光谱效率。其次，提出了一种新颖的解决方案，以通过进一步利用SVC方案的代码簿来传达其他信息位。计算机仿真结果表明，我们的低复杂性算法和新颖的IM解决方案不仅提供了卓越的BER性能，而且还提供了IM与普通SVC方法相比的位置数量的增加。
Ultra-reliable and low-latency communications (URLLC) partakes a major role in 5G networks for mission-critical applications. Sparse vector coding (SVC) appears as a strong candidate for future URLLC networks by enabling superior performance in terms of bit error rate (BER). SVC exploits the virtual digital domain (VDD) and compressed sensing (CS) algorithms to encode and decode its information through active symbol indices. In this paper, first, a clever encoding/decoding algorithm is proposed for the SVC scheme, which allows the use of all possible activation patterns (APs) resulting in increasing spectral efficiency. Second, a novel solution is proposed to convey additional information bits by further exploiting index modulation (IM) for the codebooks of the SVC scheme. Computer simulation results reveal that our low-complexity algorithm and novel IM solution provide not only a superior BER performance but also an increase in the number of bits conveyed by IM compared to the ordinary SVC approach.
