RIS-Enabled Near-Field Localization with EMI

Controlling the characteristics of electromagnetic signals in terms of scattering, reflection, and refraction can be achieved through the utilization of reconfigurable intelligent surfaces (RIS). This research delves into the assessment of both communication and localization performance, using the achievable data rate and the position error bound (PEB) respectively for random and positional RIS configurations. Previous investigations have overlooked the presence of electromagnetic interference (EMI), which encompasses unavoidable incoming waves from external sources. Our study takes EMI into account when modelling the system, focusing on a single-user single-input single-output (SISO) communication system. The presence of EMI significantly affects communication and localization performance, emphasizing the importance of addressing this performance degradation in the existing literature. This underscores the need to develop more realistic algorithms and frameworks for RIS technology.