The paper titled “Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-Of-Things” has been accepted for presentation in 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13-16 September 2021.
Sreenivasa Reddy Yeduri, Garima Chopra, Ankit Dubey, Abhinav Kumar, Trilochan Panigrahi and Linga Reddy Cenkeramaddi, “Rate-Splitting Random Access Mechanism for Massive Machine Type Communications in 5G Cellular Internet-Of-Things” has been accepted for presentation in 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13-16 September 2021.”
Keywords:Performance evaluation,5G mobile communication,Massive machine type communications, Receivers,Decoding,Land mobile radio
Abstract:The cellular Internet-of-Things has resulted in the deployment of millions of machine type communication (MTC) devices under the coverage of a single gNodeB (gNB). These massive number of devices should connect to the gNodeB (gNB) via the random access channel (RACH) mechanism. Moreover, the 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 the RACH success rate. 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.
More details:DOI: 10.1109/PIMRC50174.2021.9569424