Decision Feedback-Aided Known-Interference Cancellation

TL;DR

This paper introduces a decision feedback approach to known-interference cancellation that iteratively cancels both the interference and signal of interest, improving throughput in secure wireless communications.

Contribution

It proposes a novel decision feedback-aided KIC method that enhances interference cancellation and throughput, addressing limitations of traditional KIC.

Findings

Decision feedback improves KI cancellation effectiveness.

Enhanced throughput achieved with the proposed method.

Higher computational load is a trade-off for better performance.

Abstract

Known-interference cancellation (KIC) in combination with cooperative jamming can be used to provide covertness and security to wireless communications at the physical layer. However, since the signal of interest (SI) of a wireless communication system acts as estimation noise, i.e., interference, to KIC, the SI limits the extent to which the known interference (KI) can be canceled and that in turn limits the throughput of the wireless communication system that is being hidden or secured. In this letter, we analyze a decision feedback-aided known-interference cancellation (DF-KIC) structure in which both the KI and SI are canceled iteratively and successively. Measurement results demonstrate that introducing decision feedback to KIC improves its KI cancellation capability and hence increases the wireless communication system's useful throughput, albeit at the expense of a higher computational load.