A Probabilistic Approach to Model SIC based RACH mechanism for Massive Machine Type Communications in Cellular Networks

Reddy, Yeduri Sreenivasa and Dubey, Ankit and Kumar, Abhinav and et al, . (2019) A Probabilistic Approach to Model SIC based RACH mechanism for Massive Machine Type Communications in Cellular Networks. arXiv.org.

Full text not available from this repository. (Request a copy)

Abstract

In a cellular Internet of Things, burst transmissions from millions of machine type communications (MTC) devices can result in channel congestion. The main bottleneck in such scenario is inefficient random access channel (RACH) mechanism that is used to attach MTC devices to a base station (BS). To address this issue of congestion in RACH mechanism, 3GPP has proposed an extended access barring (3GPP-EAB) mechanism. However, several works indicate that the performance of the 3GPP-EAB mechanism can be further improved. In this work, a successive interference cancellation (SIC) based RACH mechanism is considered to significantly increase the success rate and reduce congestion. In the proposed mechanism, the devices are allowed to transmit repeatedly for a finite number of times in a given cycle, and thereafter, the success rate is improved by applying back-and-forth SIC at the BS. A novel probabilistic approach of the proposed mechanism is presented with all transition and steady-state probabilities. Further, the probability of SIC for a given slot is derived. Through extensive numerical results, it is shown that the proposed mechanism significantly outperforms the existing ones in terms of the success rate. Moreover, to obtain the maximum success rate, the optimum number of devices to be entered in a cycle is also calculated.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Kumar, AbhinavUNSPECIFIED
Item Type: Article
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 24 Dec 2019 09:01
Last Modified: 24 Dec 2019 09:01
URI: http://raiith.iith.ac.in/id/eprint/7244
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 7244 Statistics for this ePrint Item