论文标题
通过双线性推断与无细胞的MIMO的双线性推断与低辅导飞行员的赠款访问
Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots
论文作者
论文摘要
我们提出了一种新的关节活性,通道和数据估计(JACDE)方案,以符合第五代(5G)新无线电(NR)正交频率分割多路复用(OFDM)信号的符合第五代(5G)新无线电(OFDM)信号的系统。该贡献旨在通过启用无赠款访问,同时维持每个用户中等的吞吐量,从而大大减少无单元的MIMO系统。为此,我们扩展了常规的MIMO OFDM协议,以使活动检测能力合并而不诉诸扩散信息性数据符号,这与通常依赖信号扩展的相关工作相反。我们的方法利用基于高斯近似的贝叶斯消息传递方案,该方案共同执行积极的用户检测(AUD),频道估计(CE)和多用户检测(MUD),还纳入了基于框架理论的结构良好的低连通飞行员设计,该框架理论是较低的,该试验是污染了飞行员的污染,并最终与检测器相互互补。通过模拟结果证明了所得的基于JACDE的无授予访问方案的疗效,而没有扩散数据序列,这些结果显示出明显胜过当前的最新面积,并遵循了理想化(Genie-ADEAD)方案的性能,在该方案中,用户活动和通道系数是众所周知的。
We propose a novel joint activity, channel, and data estimation (JACDE) scheme for cell-free multiple-input multiple-output (MIMO) systems compliant with fifth-generation (5G) new radio (NR) orthogonal frequency-division multiplexing (OFDM) signaling. The contribution aims to allow significant overhead reduction of cell-free MIMO systems by enabling grant-free access, while maintaining moderate throughput per user. To that end, we extend the conventional MIMO OFDM protocol so as to incorporate activity detection capability without resorting to spreading informative data symbols, in contrast with related work which typically relies on signal spreading. Our method leverages a Bayesian message passing scheme based on Gaussian approximation, which jointly performs active user detection (AUD), channel estimation (CE), and multi-user detection (MUD), incorporating also a well-structured low-coherent pilot design based on frame theory, which mitigates pilot contamination, and finally complemented with a detector empowered by bilinear message passing. The efficacy of the resulting JACDE-based grant-free access scheme without spreading data sequences is demonstrated by simulation results, which are shown to significantly outperform the current state-of-the-art and approach the performance of an idealized (genie-aided) scheme in which user activity and channel coefficients are perfectly known.