Department of Electrical Engineering, KU Leuven, 3001 Leuven, Belgium.
Sensors (Basel). 2021 Jun 25;21(13):4346. doi: 10.3390/s21134346.
Massive MIMO is a key 5G technology that achieves high spectral efficiency and capacity by significantly increasing the number of antennas per cell. Furthermore, due to precoding, massive MIMO allows co-channel interference cancellation across cells. In this work, based on experimental channel data for an indoor scenario, we analyse the impact of inter and intra-cell interference suppression in terms of spectral efficiency, capacity, user fairness and computational cost for three simulated systems under different cooperation levels. The first scenario assumes a cooperative case where eight neighbouring cells share the spectrum and infrastructure. This scenario provides the highest system performance; however, user fairness is achieved only when there is inter and intra-cell interference suppression. The second scenario considers eight cells that only share the spectrum; with full intra-cell and inter-cell interference cancellation, it is possible to achieve 32% of the optimal capacity with 20% of the computational cost in each distributed CPU, although the total computational cost per system is the highest. The third scenario considers eight independent cells operating in different frequency bands; in this case, intra-cell interference suppression leads to higher spectral efficiency compared to the cooperative case without intra-cell interference suppression.
大规模多输入多输出（Massive MIMO）是 5G 中的一项关键技术，它通过显著增加每个小区的天线数量来实现更高的频谱效率和容量。此外，由于预编码，大规模 MIMO 允许在小区间消除同频干扰。在这项工作中，基于室内场景的实验信道数据，我们分析了三种不同合作水平下的三个模拟系统在频谱效率、容量、用户公平性和计算成本方面的小区间和小区内干扰抑制的影响。第一个场景假设是一个合作场景，其中八个相邻小区共享频谱和基础设施。这种场景提供了最高的系统性能；然而，只有在存在小区间和小区内干扰抑制的情况下，用户公平性才能得到保证。第二个场景考虑了八个仅共享频谱的小区；通过完全消除小区内和小区间干扰，可以以每个分布式 CPU 20%的计算成本实现 32%的最优容量，尽管每个系统的总计算成本最高。第三个场景考虑了在不同频段工作的八个独立小区；在这种情况下，与没有小区内干扰抑制的合作情况相比，小区内干扰抑制可以提高频谱效率。
