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Minimizing Pilot Overhead in Cell-Free Massive MIMO Systems via Joint Estimation and Detection

机译:通过联合估计和检测,将无蜂窝大规模MIMO系统中的导频开销降至最低

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We propose a joint channel estimation and data detection (JED) algorithm for cell-free massive multi-user (MU) multiple-input multiple-output (MIMO) systems. Our algorithm yields improved reliability and reduced latency while minimizing the pilot overhead of coherent uplink transmission. The proposed JED method builds upon a novel non-convex optimization problem that we solve approximately and efficiently using forward- backward splitting. We use simulation results to demonstrate that our algorithm achieves robust data transmission with more than 3× reduced pilot overhead compared to orthogonal training in a 128 antenna cell-free massive MU-MIMO system in which 128 users transmit data over 128 time slots.
机译:我们为无单元大规模多用户(MU)多输入多输出(MIMO)系统提出了一种联合信道估计和数据检测(JED)算法。我们的算法可提高可靠性,并减少等待时间,同时最大程度地减少相干上行链路传输的导频开销。提出的JED方法建立在一个新颖的非凸优化问题上,我们使用前向后拆分近似有效地解决了该问题。我们使用仿真结果证明,与128个无天线大容量MU-MIMO系统(其中128个用户在128个时隙上传输数据)相比,与正交训练相比,我们的算法可实现鲁棒的数据传输,且导频开销减少了3倍以上。

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