Uplink Non-Orthogonal Multiple Access (NOMA) Decoding Based on Successive Parzen Windows Interference Cancellation

IF 4.8 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of Vehicular Technology Pub Date : 2024-12-09 DOI:10.1109/OJVT.2024.3513460
Víctor P. Gil Jiménez;Ángel Navia Vázquez
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Abstract

In this paper, a novel decoding kernel method based on Successive Parzen Windows Interference Cancellation (SPWIC) is proposed for the Non-Orthogonal Multiple Access (NOMA) uplink. The procedure leverages on the diversity in both angle and received power at a 3D antenna combined with a Parzen Windows based decoding to achieve better interference cancellation, providing the decoding process with robustness against multi-user interference and user discrimination. This is specially convenient in vehicular scenarios in crowded cities. We have evaluated SPWIC in various scenarios and concluded that it outperforms the standard Successive Interference Cancellation (SIC) approach even in Multiple-Input Multiple-Output (MIMO) cases such that up to 9 users can be allocated on the same resources -as long as they are not too close to each other-. Although it is proposed for mmWave, it can be directly adapted to lower frequencies.
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基于连续Parzen窗干扰消除的上行非正交多址(NOMA)译码
针对非正交多址(NOMA)上行链路,提出了一种基于连续帕森窗干扰抵消(SPWIC)的译码核方法。该方法利用三维天线角度和接收功率的多样性,结合基于Parzen窗口的解码,实现了更好的干扰消除,为解码过程提供了抗多用户干扰和用户歧视的鲁棒性。这在拥挤城市的车辆场景中特别方便。我们已经在各种情况下评估了SPWIC,并得出结论,即使在多输入多输出(MIMO)情况下,它也优于标准的连续干扰消除(SIC)方法,这样最多可以在相同的资源上分配9个用户-只要他们彼此不太接近-。虽然它是针对毫米波提出的,但它可以直接适用于更低的频率。
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来源期刊
CiteScore
9.60
自引率
0.00%
发文量
25
审稿时长
10 weeks
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