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.
@article{arxiv.1906.11102,
title = {Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks},
author = {Onel L. Alcaraz López and Hirley Alves and Pedro H. J. Nardelli and Matti Latva-aho},
journal= {arXiv preprint arXiv:1906.11102},
year = {2019}
}
Comments
10 pags, 8 figs, accepted at Ad Hoc Networks journal. arXiv admin note: text overlap with arXiv:1708.07691