# Study of Activity-Aware Multiple Feedback Successive Interference Cancellation for Massive Machine-Type Communications

## TL;DR

This paper introduces an activity-aware multiple feedback SIC algorithm for massive machine-type communications, achieving high performance with low computational complexity, outperforming existing SIC methods.

## Contribution

It presents a novel low-complexity activity-aware multiple feedback SIC strategy that enhances interference cancellation in massive MTC scenarios.

## Key findings

- Significant performance improvement over conventional SIC schemes.
- Maintains low computational complexity comparable to traditional SIC.
- Effective in massive machine-type communication environments.

## Abstract

In this work, we propose an activity-aware low-complexity multiple feedback successive interference cancellation (AA-MF-SIC) strategy for massive machine-type communications. The computational complexity of the proposed AA-MF-SIC is as low as the conventional SIC algorithm with very low additional complexity added. The simulation results show that the algorithm significantly outperforms the conventional SIC schemes and other proposals.