论文标题
多用户MIMO系统中的比特措施解码率：理论
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory
论文作者
论文摘要
Link-Adaptation（LA）是无线通信的最重要方面之一，其中发射器使用的调制和编码方案（MCS）适用于通道条件，以满足某些目标误差率。在具有离细胞外干扰的单用户SISO（SU-SISO）系统中，LA是通过计算接收器处计算后平等交换后与噪声比率（SINR）执行的。可以在使用线性探测器的多用户MIMO（MU-MIMO）接收器中使用相同的技术。平衡后SINR的另一个重要用途是用于物理层（PHY）抽象，其中几个PHY块（例如通道编码器，检测器和通道解码器）被抽象模型取代，以加快系统级级别的模拟。但是，对于具有非线性接收器的MU-MIMO系统，尚无等效于后平等的SINR，这使得LA和PHY抽象都极具挑战性。这份由两部分组成的论文解决了这个重要问题。在这一部分中，提出了一个称为检测器的称为比特 - 金属解码速率（BMDR）的度量，该指标提出了相当于后平均化SINR的指标。由于BMDR没有封闭形式的表达式可以实现其瞬时计算，因此一种机器学习方法可以预测其以及广泛的仿真结果。
Link-adaptation (LA) is one of the most important aspects of wireless communications where the modulation and coding scheme (MCS) used by the transmitter is adapted to the channel conditions in order to meet a certain target error-rate. In a single-user SISO (SU-SISO) system with out-of-cell interference, LA is performed by computing the post-equalization signal-to-interference-noise ratio (SINR) at the receiver. The same technique can be employed in multi-user MIMO (MU-MIMO) receivers that use linear detectors. Another important use of post-equalization SINR is for physical layer (PHY) abstraction, where several PHY blocks like the channel encoder, the detector, and the channel decoder are replaced by an abstraction model in order to speed up system-level simulations. However, for MU-MIMO systems with non-linear receivers, there is no known equivalent of post-equalization SINR which makes both LA and PHY abstraction extremely challenging. This important issue is addressed in this two-part paper. In this part, a metric called the bit-metric decoding rate (BMDR) of a detector, which is the proposed equivalent of post-equalization SINR, is presented. Since BMDR does not have a closed form expression that would enable its instantaneous calculation, a machine-learning approach to predict it is presented along with extensive simulation results.
