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Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC
IEEE Transactions on Wireless Communications ( IF 8.9 ) Pub Date : 2022-02-11 , DOI: 10.1109/twc.2022.3149111
Hamza Djelouat 1 , Markus Leinonen 1 , Markku Juntti 1
Affiliation  

This paper proposes a probabilistic cooperative transmission scheme with non-orthogonal multiple access (NOMA), named NO-ProbReM, for the PC5-based cellular-vehicle-to-everything (C-V2X) mode 4 in the crash warning system (CWS). In the proposed method, each node probabilistically selects a packet based on its cooperation ability under a limited cooperation power level, which is assigned within the total transmission power limit; then, the node superposes its own packet signal and the selected packet signal on a NOMA basis. The proposed probabilistic mechanism autonomously improves the link reliability within a specific range by the limited-assigned cooperation power while guaranteeing that the direct link is sufficiently similar reliability to mode 4. Our simulation results demonstrated that with suitable parameters, the proposed method mitigated the potential channel congestion of the current mode 4; in particular, the proposed method provided 50% better performance than the current mode 4 in the fundamental node density model. These results highlight that the proposed method advanced the infrastructure-less C-V2X in the CWS.

中文翻译:


用于大规模 MTC 中用户活动检测和信道估计的空间相关感知压缩感知



本文提出了一种非正交多址(NOMA)概率协作传输方案,名为 NO-ProbReM,用于碰撞预警系统(CWS)中基于 PC5 的蜂窝车辆到一切(C-V2X)模式 4 。在所提出的方法中,每个节点在有限的协作功率水平下根据其协作能力概率地选择数据包,该协作功率水平是在总传输功率限制内分配的。然后,节点将自己的分组信号和选择的分组信号在NOMA基础上叠加。所提出的概率机制通过有限分配的协作功率在特定范围内自主提高链路可靠性,同时保证直接链路的可靠性与模式4足够相似。我们的仿真结果表明,通过合适的参数,所提出的方法减轻了潜在的信道当前拥塞模式4;特别是,所提出的方法在基本节点密度模型中比当前模式 4 提供了 50% 的性能提升。这些结果凸显了所提出的方法推进了 CWS 中的无基础设施 C-V2X。
更新日期:2022-02-11
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