Low Complexity Anti-Interference Transmission Model in Massive MIMO Systems

Abstract

Abstract With the development of wireless communication, wireless communication technology plays an irreplaceable role in modern instrument measurement and communication. However, the complex electromagnetic been an important factor affecting wireless communication quality with the number of devices increasing. Especially in the industrial field and modern city, electromagnetic interference (EMI) is a serious issue in wireless data transmission. Besides, user interference will also reduce the communication performance with the increasing number of equipment users. In this paper, a low-complexity data transmission model is proposed. First, the direct sequence spread spectrum (DSSS) technology is utilized to oppose narrowband electromagnetic interference and noise interference. Nevertheless, the DSSS be affected by multi-user interference (MUI) due to the number of users increasing. Based on DSSS and ZF precoding, the DSSS-ZF structure is proposed to resist interference. The simulation platform utilized the Software Defined Radio (SDR) and channel emulators (CE) to measure our DSSS-ZF model. The results show that the DSSS-ZF structure model can effectively defeat interference and improve the reliability of communication in complicated electromagnetic environment.