Performance of alternately iterative digital self-interference canceler for OFDM using full duplex

Abstract

In full duplex (FD), which improves frequency efficiency and achieves flexible resource assignment between the uplink and downlink, self-interference (SI) from a transmitter should be suppressed by using antenna isolation, an analog SI canceler, and digital SI canceler (DSIC) to a level such that the data or control channel satisfies the required block error rate (BLER). This paper proposes an alternately iterative DSIC (AI-DSIC) structure for orthogonal frequency division multiplexing (OFDM) using FD. We first present the required SI suppression level considering SI, quantization noise of an analog-to-digital converter, and nonlinear distortions of a power amplifier and RF receiver circuitries for a direct conversion transceiver using FD. Then, we propose an AI-DSIC structure that iterates alternately the generation of the SI estimate, the downlink symbol estimate, and removal of each from the received signal in the downlink including SI. We investigate the average BLER performance of the AI-DSIC for OFDM using FD based on link-level simulations under the condition that the derived required signal-to-SI ratio is satisfied.