Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems

Sensors

卷:21

Bin Guo¹  Chenjie Zhang¹  Xuemei Bai¹  MilemboloMiantezila Junior¹ 

[1] School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;

关键词: interference cancellation;    spectrum sharing;    massive MIMO;    signal detection;    channel optimization;   

DOI  :  10.3390/s21113584

来源: DOAJ

【 摘 要 】

Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.

【 授权许可】

Unknown