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.
As a continuation, the relaying phase, where the aggregatted data is forwarded to the base station, is considered in REF , and the system performance is investigated in terms of average number of users that are simultaneously served.
Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks
Ad Hoc Networks
Ad Hoc Networks
Computer Science Mathematics