通过使用协作NOMA对URLLC进行电源优化,提高了停电性能

Annapurna Pradhan, Susmita Das, Shaktimaan Debendra Pratap
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引用次数: 2

摘要

超可靠低延迟通信(URLLC)是5G无线网络提供的关键服务之一。该业务类型具有严格的高可靠性和低延迟标准,因此需要高效的多址技术来实现各种关键业务。与正交多址(OMA)相比,非正交多址(NOMA)利用接收机的功率分配,有效地提高了频谱效率,保证了公平性。因此,它适合于实现URLLC业务。在NOMA中加入协同中继技术可以提高数据传输的可靠性。这促使我们对协作式NOMA (C-NOMA)在短包URLLC数据传输中的性能进行分析。因此,我们提出了一种基于C-NOMA的系统,使用解码和转发(DF)中继技术和接收器的连续干扰抵消(SIC)来最小化URLLC的总体错误概率。在保证用户间的公平吞吐量的同时,考虑到解码错误和排队延迟冲突导致的错误,优化接收端功率分配,实现了整体中断概率的最小化。仿真研究表明,与仅基于NOMA和OMA的技术相比,所提出的基于C-NOMA的短包传输提高了总体中断概率、能源效率,并确保了用户之间的公平吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved outage performance with power optimization for URLLC using Cooperative NOMA
Ultra-reliable low latency communication (URLLC) is one of the key services offered by the 5G wireless networks. This service type is characterized by stringent high reliability and low latency criteria, thus require efficient multiple access techniques to facilitate various mission-critical services. Non-orthogonal multiple access (NOMA) effectively enhances spectral efficiency and ensures fairness by exploiting the power allocation at receivers compared to orthogonal multiple access (OMA). Therefore, it becomes suitable for facilitating URLLC service. The addition of the cooperative relaying technique to NOMA can enhance the reliability of the data transmission. This motivated us to analyze the performance of cooperative NOMA (C-NOMA) for short packet URLLC data transmission. Hence, we have proposed a C-NOMA based system using the decode and forward (DF) relaying technique and successive interference cancellation (SIC) at the receiver to minimize the overall error probability for URLLC. The minimization of overall outage probability has been achieved by optimizing power allocation at the receiver considering the decoding error and error due to queuing delay violation while ensuring fair throughput among users. The simulation study has shown that the proposed C-NOMA based short packet transmission improves overall outage probability, energy efficiency, and ensures fair throughput among users in comparison to only NOMA and OMA based techniques.
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