University of Oulu

S. Ali, N. Rajatheva and W. Saad, "Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities," in IEEE Communications Magazine, vol. 57, no. 3, pp. 97-103, March 2019. doi: 10.1109/MCOM.2019.1800475

Fast uplink grant for machine type communications : challenges and opportunities

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Author: Ali, Samad1; Rajatheva, Nandana1; Saad, Walid2
Organizations: 1University of Oulu
2Virginia Tech
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-06-05


The notion of a fast uplink grant is emerging as a promising solution for enabling massive machine type communication (MTC) in the Internet of Things over cellular networks. By using the fast uplink grant, machine type devices (MTDs) will no longer require RA channels to send scheduling requests. Instead, uplink resources can be actively allocated to MTDs by a base station. In this article, the challenges and opportunities for adopting the fast uplink grant to support MTCs are investigated. First, the fundamentals of fast uplink grant and its advantages over conventional scheduled and uncoordinated access schemes are presented. Then, the key challenges that include the prediction of the set of MTDs with data to transmit, as well as the optimal scheduling of MTDs, are exposed. To overcome these challenges, a two-stage approach that includes traffic prediction and optimized scheduling is proposed. In particular, various solutions for source traffic prediction for periodic MTC traffic are reviewed and novel methods for event-driven traffic prediction are proposed. For optimal allocation of uplink grants, advanced machine learning techniques are presented. By using the proposed solutions, the fast uplink grant has the potential to enable cellular networks to support massive MTCs and effectively reduce the signaling overhead and overcome the delay and congestion challenges of conventional RA schemes.

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Series: IEEE communications magazine
ISSN: 0163-6804
ISSN-E: 1558-1896
ISSN-L: 0163-6804
Volume: 57
Issue: 3
Pages: 97 - 103
DOI: 10.1109/MCOM.2019.1800475
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research was supported by the Academy of Finland 6Genesis Flagship under Grant 318927; in part, by the Office of Naval Research (ONR) under Grant N00014-15-1-2709; and by the U.S. National Science Foundation under Grants CNS-1836802, CNS-1617896, and ACI-1638283.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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