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Research on cluster overlap and non-overlap region for 5G-IoV networks with NOMA
EURASIP Journal on Wireless Communications and Networking ( IF 2.3 ) Pub Date : 2021-03-23 , DOI: 10.1186/s13638-021-01944-0
Jinyuan Gu , Guoan Zhang , Haibin Lv , Wei Duan

As a multi hop self-organizing network, wireless sensor network has the ability to cooperatively sense, collect and process the information of the sensed objects. The applications of WCN in 5G-based Internet of Vehicles (5G-IoV), using information fusion and intelligent information processing technologies, can obtain more reliable and accurate detection parameters, which has been widely concerned. However, the massive connectivity and information exchange in 5G-IoV pose great challenges to the bandwidth efficiency. In order to overcome these issues in 5G-IoV networks, a performance enhanced scheme based on non-orthogonal multiple access (NOMA) is proposed. In the proposed scheme, different vehicle locations are respectively discussed, i.e., whether in the overlap region of cluster head vehicles (CHVs). In particular, different to conventional works, each receiving node only decodes the desired signal to avoid performance loss provided from the poor channel quality limitation. On the other hand, all CHVs decode-and-forward new superposition coded signals with new power allocation factors, while that the maximum ratio combining is utilized at receivers to further improve the ergodic sum-rate (SR) and probability of conflict. The closed-form expressions of ergodic SR for our proposed scheme are analyzed under the independent Rayleigh fading channels. Numerical results corroborating our theoretical analysis show that the superposition coded signal transmission scheme applied to the proposed NOMA-IoV improves the ergodic SR performance significantly compared with the existing works, especially for the high signal-to-noise region.



中文翻译:

利用NOMA研究5G-IoV网络的集群重叠和非重叠区域

作为多跳自组织网络,无线传感器网络具有协作感测,收集和处理感测对象的信息的能力。WCN在基于5G的车联网(5G-IoV)中的应用,利用信息融合和智能信息处理技术,可以获得更可靠,更准确的检测参数,受到了广泛的关注。但是,5G-IoV中的大规模连接和信息交换对带宽效率提出了巨大挑战。为了克服5G-IoV网络中的这些问题,提出了一种基于非正交多址(NOMA)的性能增强方案。在提出的方案中,分别讨论了不同的车辆位置,即是否在簇头车辆(CHV)的重叠区域中。尤其是,与常规工作不同,每个接收节点仅解码所需信号,以避免由于不良的信道质量限制而导致的性能损失。另一方面,所有CHV均使用新的功率分配因子对新的叠加编码信号进行解码和转发,而接收器利用最大比合并来进一步提高遍历总速率(SR)和冲突概率。在独立的瑞利衰落信道下,对我们提出的方案的遍历SR的闭式表达式进行了分析。数值结果证实了我们的理论分析结果,表明与现有工作相比,应用于拟议的NOMA-IoV的叠加编码信号传输方案显着改善了遍历SR性能,尤其是在高信噪比区域。每个接收节点仅解码期望的信号,以避免由于不良的信道质量限制而导致的性能损失。另一方面,所有CHV均使用新的功率分配因子对新的叠加编码信号进行解码和转发,而接收器利用最大比合并来进一步提高遍历总速率(SR)和冲突概率。在独立的瑞利衰落信道下,对我们提出的方案的遍历SR的闭式表达式进行了分析。数值结果证实了我们的理论分析结果,表明与现有工作相比,应用于拟议的NOMA-IoV的叠加编码信号传输方案显着改善了遍历SR性能,尤其是在高信噪比区域。每个接收节点仅解码期望的信号,以避免由于不良的信道质量限制而导致的性能损失。另一方面,所有CHV均使用新的功率分配因子对新的叠加编码信号进行解码和转发,而接收器利用最大比合并来进一步提高遍历总速率(SR)和冲突概率。在独立的瑞利衰落信道下,对我们提出的方案的遍历SR的闭式表达式进行了分析。数值结果证实了我们的理论分析结果,表明与现有工作相比,应用于拟议的NOMA-IoV的叠加编码信号传输方案显着改善了遍历SR性能,尤其是在高信噪比区域。

更新日期:2021-03-23
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