Abstract

Due to its high spectral efficiency and various other advantages, filter bank multicarrier/offset quadrate amplitude modulation (FBMC/OQAM) has long been considered as a candidate waveform for the fifth generation (5G) and beyond telecommunication technologies. On the other hand, it is possible to both increase the data rate and alleviate the channel fading effects by using the multiple-input multiple-output (MIMO) antenna structure in the FBMC/OQAM transceiver. However, since the symbol detection is an indispensable task to be fulfilled in wireless communication, it is crucial to employ an efficient symbol detector at the MIMO-FBMC/OQAM receiver. Maximum likelihood (ML) detector, which always finds the optimal symbols by trying all of the possible symbol combinations likely to be transmitted, is known for its extremely high computational complexity making it impractical to be used in any system. On the other hand, it is possible to both considerably reduce the ML complexity and achieve the near-ML performance by optimizing the symbol vectors instead of implementing an exhaustive search. Since searching for the optimal symbol combination in discrete space is a combinatorial optimization problem, we developed a novel discrete harmony search (disHS) algorithm to perform this operation. According to the simulation results, the newly developed disHS algorithm not only achieves near-ML performance with lower computational complexity, but also clearly leaves behind the other symbol detectors considered in this paper.

中文翻译：

---

MIMO-FBMC/OQAM 系统中基于新型离散和声搜索算法的符号检测

摘要

由于其高频谱效率和各种其他优点，滤波器组多载波/偏移正交幅度调制 (FBMC/OQAM) 长期以来一直被认为是第五代 (5G) 及以后电信技术的候选波形。另一方面，通过在FBMC/OQAM收发器中使用多输入多输出(MIMO)天线结构，可以既提高数据速率又减轻信道衰落影响。然而，由于符号检测是无线通信中不可或缺的任务，因此在 MIMO-FBMC/OQAM 接收机中采用高效的符号检测器至关重要。最大似然 (ML) 检测器总是通过尝试可能传输的所有可能的符号组合来找到最佳符号，以其极高的计算复杂性而闻名，使其在任何系统中使用都不切实际。另一方面，通过优化符号向量而不是实施穷举搜索，可以显着降低 ML 复杂度并实现接近 ML 的性能。由于在离散空间中搜索最佳符号组合是一个组合优化问题，因此我们开发了一种新颖的离散和谐搜索（disHS）算法来执行此操作。根据仿真结果，新开发的 disHS 算法不仅以较低的计算复杂度实现了接近 ML 的性能，而且明显落后于本文考虑的其他符号检测器。