Throughput enhancement of cognitive M2M networks based on NOMA for 5G communication systems,International Journal of Communication Systems

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Throughput enhancement of cognitive M2M networks based on NOMA for 5G communication systems
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-05-31 , DOI: 10.1002/dac.4468
Eslam Samy EL-Mokadem _{1,

2} , Ahmed Mahmoud El-Kassas ₃ , Talaat A. Elgarf ₁ , Hadia El-Hennawy ₂

Affiliation

One of the promising technologies for 5G cellular networks is machine‐to‐machine (M2M) communications. We propose a cognitive radio network (CR) that includes a primary cellular system and a secondary cognitive system. The primary cellular system has a primary client (PC) and the secondary cognitive system has M2M clients which are called secondary clients (SCs). In a conventional system of CR network based on orthogonal frequency division multiple access (CR‐OFDMA), when the primary client (PC) is absent, only one SC can obtain the idle spectrum. But, the SC must leave the spectrum when detecting the existence of the PC. So, the spectrum usage of this system is very low. This paper proposes a cooperative CR network based on nonorthogonal multiple access (CCR‐NOMA) for spectrum sensing using energy detection (ED) to allow multiple SCs to share the same frequency at the same time, but are differentiated according to the power domain or code domain, to improve spectrum efficiency of 5G communications and the transmission performance of CR network at the absence and presence of the PC. To evaluate the channel sensing performance of the ED technique in CCR‐NOMA, we derived a closed‐form expression between the achievable throughput and sensing time for the CCR‐NOMA system. The same analysis for the case of CR‐OFDMA is reproduced for the sake of comparison. The analysis showed that the CR‐NOMA system for M2M communication outperforms the CR‐OFDMA system for M2M communication for the same noncooperative and cooperative spectrum sensing and physical layer parameters.

中文翻译：

基于NOMA的5G通信系统认知M2M网络的吞吐量增强

5G蜂窝网络最有希望的技术之一是机器对机器（M2M）通信。我们提出了一个认知无线电网络（CR），其中包括一个主要的细胞系统和一个次要的认知系统。主要的蜂窝系统具有一个主要客户端（PC），次要的认知系统具有M2M客户端，这些客户端称为次要客户端（SC）。在基于正交频分多址（CR-OFDMA）的常规CR网络系统中，当不存在主要客户端（PC）时，只有一个SC可以获得空闲频谱。但是，SC在检测到PC的存在时必须离开频谱。因此，该系统的频谱使用率非常低。本文提出了一种基于非正交多址（CCR-NOMA）的协作CR网络，用于使用能量检测（ED）进行频谱感测，以允许多个SC同时共享同一频率，但根据功率域或代码而有所区别在没有PC的情况下，提高5G通信的频谱效率和CR网络的传输性能。为了评估CCR-NOMA系统中ED技术的信道感测性能，我们导出了CCR-NOMA系统可实现的吞吐量和感测时间之间的闭式表达式。为了比较，对CR-OFDMA的情况进行了相同的分析。

更新日期：2020-05-31

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