OTFS Signaling for SCMA With Coordinated Multi-Point Vehicle Communications
OTFS Signaling for SCMA With Coordinated Multi-Point Vehicle Communications
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DOI：
10.1109/tvt.2023.3248119
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发表时间：
2023-02
影响因子：
6.8
通讯作者：
Yao Ge;Qinwen Deng;David González G.;Y. Guan;Z. Ding
中科院分区：
文献类型：
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作者：
Yao Ge;Qinwen Deng;David González G.;Y. Guan;Z. Ding
研究了一种上行链路协调多点(CoMP)覆盖场景，其中多个移动用户被分组以进行稀疏码分多址(SCMA)，并且由他们前面的远程无线头部(RRH)和他们后面的RRH同时服务。我们对每个用户应用正交时频空间(OTFS)调制，以利用延迟域和多普勒域产生的自由度。由于用户前面和后面的RRH接收的信号分别经历了正负的多普勒频移，我们提出的基于OTFS的SCMA(OBSCMA)结合CoMP系统可以有效地获取额外的多普勒和空间分集，以获得更好的性能。基于最大似然(ML)检测器，我们分析了单用户平均误比特率(ABER)界作为我们所提出的基于CoMP的OBSCMA系统的ABER性能的基准。提出了一种基于期望传播的定制高斯近似(GAEP)多用户检测算法，并针对集中式和分散式检测器提出了高效的算法结构。我们提出的带CoMP系统的OBSCMA比现有的解决方案具有更强的性能。提出的集中式和分散式检测器在信道状态信息不确定的情况下表现出有效的接收能力和鲁棒性。
This paper investigates an uplink coordinated multi-point (CoMP) coverage scenario, in which multiple mobile users are grouped for sparse code multiple access (SCMA), and served by the remote radio head (RRH) in front of them and the RRH behind them simultaneously. We apply orthogonal time frequency space (OTFS) modulation for each user to exploit the degrees of freedom arising from both the delay and Doppler domains. As the signals received by the RRHs in front of and behind the users experience respectively positive and negative Doppler frequency shifts, our proposed OTFS-based SCMA (OBSCMA) with CoMP system can effectively harvest extra Doppler and spatial diversity for better performance. Based on maximum likelihood (ML) detector, we analyze the single-user average bit error rate (ABER) bound as the benchmark of the ABER performance for our proposed OBSCMA with CoMP system. We also develop a customized Gaussian approximation with expectation propagation (GAEP) algorithm for multi-user detection and propose efficient algorithm structures for centralized and decentralized detectors. Our proposed OBSCMA with CoMP system leads to stronger performance than the existing solutions. The proposed centralized and decentralized detectors exhibit effective reception and robustness under channel state information uncertainty.