干扰受限情况下 NOMA 在阴影衰减信道上的中断性能

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-04-29 DOI:10.1007/s12652-024-04802-1
Shaik Thaherbasha, Ravindra Dhuli
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引用次数: 0

摘要

在无线通信网络中,非正交多址接入(NOMA)技术不同于现有的正交多址接入(OMA)技术。在 NOMA 中,可用的资源数量更多,因此会产生多路访问干扰。在本文中,我们首先从信号干扰比(SIR)的角度为 NOMA 建立了一个干扰分析框架。随后,我们考虑了干扰的影响,评估了基于 NOMA 的下行链路通信系统的中断概率。针对不同的信道传播效果,如 Nakagami-m、有对数正态阴影和无对数正态阴影的瑞利衰落信道,计算了固定干扰者数量的 NOMA 的中断概率。所获得的固定干扰者数量的中断概率可用于计算不同信道传播效果下随机干扰者数量的中断概率(系统总中断概率)。在本文中,我们提出了一种新颖的算法,通过选择不同的提供负荷(以每个小区的 Erlangs 为单位)来计算 NOMA 在不同信道传播效果下的总系统中断概率。我们计算了小区附近和边缘位置两个用户的中断概率的分析结果。得到的分析结果与模拟的 NOMA 结果相吻合。
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Outage performance of NOMA over shadowed faded channels in interference limited scenario

In wireless communications networks, the non-orthogonal multiple access (NOMA) technique is different from the existing orthogonal multiple access (OMA) techniques. In NOMA, the available number of resources are more and it leads to multiple access interference. In this paper, initially we developed an analytical framework of interference for NOMA in terms of signal to interference ratio (SIR). Later, we asses the outage probability of NOMA based downlink communication system by considering the effect of interference. The outage probability of NOMA with fixed number of interferers is calculated for different channel propagation effects as Nakagami-m, Rayleigh faded channels with and without log-normal shadowing. The obtained outage probabilities with fixed number of interferers are used to calculate the outage probabilities with random number of interferers (total system outage probability) in different channel propagation effects. In this paper, we proposed a novel algorithm to calculate the total system outage probability for NOMA in different channel propagation effects by choosing different offered load in terms of Erlangs per cell. We calculate the analytical results of outage probability for two users which are at near and edge positions of the cell. The obtained analytical results are supported with simulated NOMA.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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