6533b861fe1ef96bd12c43e8

RESEARCH PRODUCT

Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-of-Things

Linga Reddy CenkeramaddiGarima ChopraAbhinav KumarTrilochan PanigrahiYeduri Sreenivasa ReddyAnkit Dubey

subject

FOS: Computer and information sciencesbusiness.industryMechanism (biology)Computer scienceComputer Science - Information TheoryInformation Theory (cs.IT)Type (model theory)Random-access channelSoftware deploymentInternet of Thingsbusiness5GRandom accessDecoding methodsComputer network

description

The cellular Internet-of-Things has resulted in the deployment of millions of machine-type communication (MTC) devices. These massive number of devices must communicate with a single gNodeB (gNB) via the random access channel (RACH) mechanism. However, existing RACH mechanisms are inefficient when dealing with such large number of devices. To address this issue, we propose the rate-splitting random access (RSRA) mechanism, which uses rate splitting and decoding in rate-splitting multiple access (RSMA) to improve RACH success rates. The proposed mechanism divides the message into common and private messages and enhances the decoding performance. We demonstrate, using extensive simulations, that the proposed RSRA mechanism significantly improves the success rate of MTC in cellular IoT networks. We also evaluate the performance of the proposed mechanism with increasing number of devices and received power difference.

yearjournalcountryeditionlanguage
2021-09-132021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
https://doi.org/10.1109/pimrc50174.2021.9569424