Out-of-Band Digital Predistortion in Joint Communication-Computation Networks for Transmission Standards

In joint communication and computation (J2C) networks, the nonlinearity of power amplifiers (PA) is used for neural network computing. Only the out-of-band (OOB) distortion needs to be compensated to meet transmission standard requirements in modern 5G and beyond communication systems, while the in-band distortion is kept. Since the OOB linearization has fewer tasks than a classical DPD, it is worth studying if an OOB digital pre-distortion (DPD) has a better complexityaccuracy trade-off than a classical full-band DPD. In this paper, we make a thorough study on the complexity of existing OOBDPD techniques and demonstrate their advantages upon fullband DPD in J2C network. We further propose a new scheme of OOB-DPD with reduced sampling rate.