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Massive Machine Type Communication with Data Aggregation and Resource Scheduling

Guo, Jing; Durrani, Salman; Zhou, Xiangyun; Yanikomeroglu, Halim

Description

To enable massive machine type communication (mMTC), data aggregation is a promising approach to reduce the congestion caused by a massive number of machine type devices (MTDs). In this paper, we consider a two-phase cellular-based mMTC network, where MTDs transmit to aggregators (i.e., aggregation phase) and the aggregated data is then relayed to base stations (i.e., relaying phase). Due to the limited resources, the aggregators not only aggregate data, but also schedule resources among MTDs....[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/242814
Source: IEEE Transactions on Communications
DOI: 10.1109/TCOMM.2017.2710185
Access Rights: Open Access

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