论文标题
NOMA上行链路网络的性能分析在统计QoS延迟约束下
Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints
论文作者
论文摘要
在第五代及以后（B5G）中，延迟构成是特别感兴趣的话题，例如可靠的低潜伏期通信（URLLC），例如自主工具和增强现实。在本文中，Westudy的两种用户上行链路NOMA网络低估服务质量（QOS）延迟约束的性能，捕获了每个用户的有效能力（EC）。我们为Noma用户的EC提出了新颖的表达式，并展示了在高信号与噪声比（SNR）区域中，“强” Noma用户的EC具有有限的EC，假设与“弱”用户相同。我们证明，对于弱使用者而言，OMA的EC达到的EC高于NOMA在Transmit SNR的较小值下的EC，而Noma在高SNRS处的EC的表现优于OMA。另一方面，对于强大的使用者而言，noma的EC比OMA ATSMALL SNRS更高，而OMA在高SNR中变得更有利于EC。此结果提出了一个“自适应” OMA /NOMA策略的问题，该问题是基于用户延迟延迟的可用传输功率的延迟限制。
In the fifth generation and beyond (B5G), delayconstraints emerge as a topic of particular interest, e.g. forultra-reliable low latency communications (URLLC) such asautonomous vehicles and enhanced reality. In this paper, westudythe performance of a two-user uplink NOMA network understatistical quality of service (QoS) delay constraints, capturedthrough each user s effective capacity (EC). We propose novelclosed-form expressions for the EC of the NOMA users andshow that in the high signal to noise ratio (SNR) region, the 'strong' NOMA user has a limited EC, assuming the same delayconstraint as the 'weak' user. We demonstrate that for the weakuser, OMA achieves higher EC than NOMA at small values ofthe transmit SNR, while NOMA outperforms OMA in terms ofEC at high SNRs. On the other hand, for the strong user theopposite is true, i.e., NOMA achieves higher EC than OMA atsmall SNRs, while OMA becomes more beneficial at high SNRs.This result raises the question of introducing 'adaptive' OMA /NOMA policies, based jointly on the users delay constraints aswell as on the available transmit power.
