Active IRS-Assisted Integrated Sensing and Communication in C-RAN
Yu Zhang, Jiachi Chen, Caijun Zhong, Hong Peng, Weidang Lu
Abstract
This letter investigates an active intelligent reflecting surface (IRS)-aided integrated sensing and communication (ISAC) system in the scenario of cloud radio access network (C-RAN). In the system, the active IRS is deployed to amplify and reflect the joint communication and sensing signals from the remote radio heads (RRHs). Our goal is to form the desired reflective beam pattern from the active IRS towards the sensing targets located in non-line-of-sight (NLoS) areas for the RRHs, while satisfying the signal-to-interference-plus-noise ratio (SINR) requirement for the communication users and the capacity limit for the fronthaul links between the baseband unit (BBU) pool and RRHs. Specifically, we propose an efficient joint design for the fronthaul compression and the beamforming of the RRHs and the active IRS. Via numerical simulations, the effectiveness of the proposed design is verified.