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Preamble Barring: A Novel Random Access Scheme for Machine Type Communications with Unpredictable Traffic Bursts

Grau, Maxime, Foh, Chuan Heng, ul Quddus, Atta and Tafazolli, Rahim (2019) Preamble Barring: A Novel Random Access Scheme for Machine Type Communications with Unpredictable Traffic Bursts In: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 22–25 Sep 2019, Honolulu, Hawaii, USA.

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In this paper, we present a novel random access method for future mobile cellular networks that support machine type communications. Traditionally, such networks establish connections with the devices using a random access procedure, however massive machine type communication poses several challenges to the design of random access for current systems. State-of-the-art random access techniques rely on predicting the traffic load to adjust the number of users allowed to attempt the random access preamble phase, however this delays network access and is highly dependent on the accuracy of traffic prediction and fast signalling. We change this paradigm by using the preamble phase to estimate traffic and then adapt the network resources to the estimated load. We introduce Preamble Barring that uses a probabilistic resource separation to allow load estimation in a wide range of load conditions and combine it with multiple random access responses. This results in a load adaptive method that can deliver near-optimal performance under any load condition without the need for traffic prediction or signalling, making it a promising solution to avoid network congestion and achieve fast uplink access for massive MTC.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Foh, Chuan
ul Quddus,
Date : 2019
Funders : University of Surrey 5GIC
Uncontrolled Keywords : Random Access; Massive MTC; IoT; Traffic bursts; Load estimation
Related URLs :
Depositing User : Clive Harris
Date Deposited : 01 Aug 2019 14:18
Last Modified : 22 Sep 2019 02:08

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