Filter bank multi-carrier (FBMC) is an emerging 5G technology due to its finer spectral characteristics than its counterpart orthogonal frequency-division multiplexing (OFDM). In most cases, FBMC is united with an Offset Quadrature Amplitude modulation (OQAM) for individual sub-carrier to maximize the spectrum efficiency and Nyquist rate. But it is achieved at the cost of an inherent accumulative imaginary interference called intrinsic interference. When a channel is highly selective, the FBMC system undergoes inter-symbol-interference (ISI) and co-channel interference (CCI). In this research, we consider FBMC QAM as a solution to intrinsic interference and mitigates both ISI and CCI by incorporating ML equivalent signal detection. In this paper, some of the prominent issues related to the existing FBMC–OQAM are explored and its potential integrity constraints with existing MIMO and signal detection techniques are studied. In addition to that, a lightweight optimized ML which constitutes parallel sub-detectors with the least hardware complexity overhead is proposed. It also achieved a near-optimal performance that matches the CP-OFDM system. In this research, the experimental results proved that the proposed suboptimal ML detector offered significant complexity reduction with improved quality of services. Thus evidently shows the proposed system is attractive from both BER performance and hardware complexity reduction perspectives for 5G communications.

滤波器组多载波（FBMC）是一种新兴的5G技术，因为它的频谱特性比其对应的正交频分复用（OFDM）更好。在大多数情况下，FBMC与单个子载波的偏移正交幅度调制（OQAM）结合在一起，可最大程度地提高频谱效率和奈奎斯特速率。但这是以称为固有干扰的固有累积虚构干扰为代价的。当信道具有高度选择性时，FBMC系统会受到符号间干扰（ISI）和同信道干扰（CCI）。在这项研究中，我们将FBMC QAM视为一种固有干扰解决方案，并通过结合ML等效信号检测来减轻ISI和CCI。在本文中，探索了与现有FBMC-OQAM相关的一些突出问题，并研究了其与现有MIMO和信号检测技术的潜在完整性约束。除此之外，提出了一种轻量级的优化ML，它以最少的硬件复杂性开销构成了并行子检测器。它还获得了与CP-OFDM系统相匹配的近乎最佳的性能。在这项研究中，实验结果证明，所提出的次优ML检测器可显着降低复杂度并提高服务质量。因此，从BER性能和降低5G通信的硬件复杂性的角度来看，显然表明了拟议的系统具有吸引力。提出了一种轻量级的优化ML，它以最少的硬件复杂性开销构成了并行子检测器。它还获得了与CP-OFDM系统相匹配的近乎最佳的性能。在这项研究中，实验结果证明，所提出的次优ML检测器可显着降低复杂度并提高服务质量。因此，从BER性能和降低5G通信的硬件复杂性的角度来看，显然表明了拟议的系统具有吸引力。提出了一种轻量级的优化ML，它以最少的硬件复杂性开销构成了并行子检测器。它还实现了与CP-OFDM系统匹配的近乎最佳的性能。在这项研究中，实验结果证明，所提出的次优ML检测器可显着降低复杂度并提高服务质量。因此，从BER性能和降低5G通信的硬件复杂性的角度来看，显然表明了拟议的系统具有吸引力。