Resource Allocation for Full-Duplex MU-mMIMO Relaying: A Delivery Time Minimization Approach

In this paper, we investigate the resource allocation problem for a full duplex (FD) massive multiple-input-multipleoutput (mMIMO) multi-carrier (MC) relay system which serves L MC single antenna half duplex (HD) nodes. In contrast to the prior studies, focusing on maximizing the sum-rate or minimization of the total power, we focus on minimizing the overall delivery time for a given set of communication tasks to the user terminals. As our system is an MC system, orthogonal frequency division multiplexing (OFDM), we consider the impact of hardware distortions which results in residual self-interference and inter-carrier leakage (ICL). We also take into account the impact of imperfect channel state information (CSI). A joint power and sub-carrier allocation problem is then formulated. Due to the intractable nature of the underlying problem, an iterative solution is proposed, employing the successive inner approximation (SIA) framework, with guaranteed convergence to the point that satisfies the Karush–Kuhn–Tucker (KKT) conditions. Numerical results show the significance of distortion aware design for such systems and also the significant gain in terms of delivery time compared to its HD counterpart.