Author:

Keywords:

Science & Technology, Physical Sciences, Technology, Chemistry, Analytical, Engineering, Electrical & Electronic, Instruments & Instrumentation, Chemistry, Engineering, massive MIMO, spectral efficiency, spectrum sharing, infrastructure sharing, infrastructure cooperation, CELLULAR NETWORKS, SYSTEMS, Wireless Technology, 0301 Analytical Chemistry, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, Analytical Chemistry, 4008 Electrical engineering, 4009 Electronics, sensors and digital hardware, 4606 Distributed computing and systems software

Abstract:

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.