# Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks

## TL;DR

This paper proposes a hybrid resource scheduling scheme using NOMA for data aggregation in mMTC, analyzing its performance under imperfect SIC with different scheduling strategies.

## Contribution

It introduces a novel hybrid access scheme combining NOMA with aggregation for mMTC and evaluates its performance with two scheduling methods under realistic conditions.

## Key findings

- Hybrid NOMA-based aggregation improves device throughput.
- Channel-dependent scheduling outperforms random scheduling.
- Performance is affected by imperfect SIC conditions.

## Abstract

Data aggregation is a promising approach to enable massive machine-type communication (mMTC). Here, we first characterize the aggregation phase where a massive number of machine-type devices transmits to their respective aggregator. By using non-orthogonal multiple access (NOMA), we present a hybrid access scheme where several machine-type devices (MTDs) share the same orthogonal channel. Then, we assess the relaying phase where the aggregatted data is forwarded to the base station. The system performance is investigated in terms of average number of MTDs that are simultaneously served under imperfect successive interference cancellation (SIC) at the aggregator for two scheduling schemes, namely random resource scheduling (RRS) and channel-dependent resource scheduling (CRS), which is then used to assess the performance of data forwarding phase.