论文标题
低复杂性时空块代码检测无细胞的大型MIMO系统
A Low Complexity Space-Time Block Codes Detection for Cell-Free Massive MIMO Systems
论文作者
论文摘要
新一代电信系统必须为新应用程序提供可接受的数据速率和光谱效率。最近，大规模的MIMO被引入了新一代电信系统的关键技术。无细胞的大规模MIMO系统未分段到细胞中。每个BS天线均分布在整个环境中，每个用户均由所有BS同时提供。 在本文中，研究了上行链路中的多源大型MIMO系统的性能，并研究了线性解码器。提出了使用Neumann系列的逆矩阵近似，以降低接收器解码器的计算和硬件复杂性。 为此，每个用户都有两个天线，并且为了提高多样性增益性能，上行链路中使用时空块代码。然后，使用Neumann系列来近似ZF和MMSE解码器中的反基质，并根据BER和频谱效率评估其性能。 另外，我们为ZF解码器的吞吐量得出了下限。 模拟结果表明，就BER和频谱效率而言，系统的性能比同一系统的单人体用户好。同样，使用建议方法的给定系统中的BER性能将接近确切的方法。
The new generation of telecommunication systems must provide acceptable data rates and spectral efficiency for new applications. Recently massive MIMO has been introduced as a key technique for the new generation of telecommunication systems. Cell-free massive MIMO system is not segmented into cells. Each BS antennas are distributed throughout the environment and each user is served by all BSs, simultaneously. In this paper, the performance of the multiuser cell-free massive MIMO-system exploying space-time block codes in the uplink, and with linear decoders is studied. An Inverse matrix approximation using Neumann series is proposed to reduce the computational and hardware complexity of the decoding in the receiver. For this purpose, each user has two antennas, and also for improving the diversity gain performance, space-time block codes are used in the uplink. Then, Neumann series is used to approximate the inverse matrix in ZF and MMSE decoders, and its performance is evaluated in terms of BER and spectral efficiency. In addition, we derive lower bound for throughput of ZF decoder. The simulation results show that performance of the system , in terms of BER and spectral efficiency, is better than the single-antenna users at the same system. Also, the BER performance in a given system with the proposed method will be close to the exact method.
