no code implementations • 28 Apr 2023 • Chen Chen, Junqing Zhang, Tianyu Lu, Magnus Sandell, Liquan Chen
Different from most previous works that adopt iterative optimisation to solve the problem, the proposed DNN-based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
no code implementations • 19 Jan 2023 • Chen Chen, Junqing Zhang, Tianyu Lu, Magnus Sandell, Liquan Chen
Different from most previous works that adopt the iterative optimization to solve the problem, the proposed DNN based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
no code implementations • 6 Jul 2022 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Roger Woods, Joseph Cavallaro, Liquan Chen
In this paper, we propose a receiver-agnostic RFFI system that is not sensitive to the changes in receiver characteristics; it is implemented by employing adversarial training to learn the receiver-independent features.