Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications

Ki Dong Lee; Martin Reisslein; Kiseon Ryu; Sang Kim

doi:10.1109/GLOCOMW.2012.6477612

Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications

Ki Dong Lee, Martin Reisslein, Kiseon Ryu, Sang Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Along with the further enhancement from Long Term Evolution (LTE), LTE-Advanced (LTE-A) will provide more diversified mobile applications services. One of them is so-called 'Small Data Applications (SDAs).' Due to the unique characteristic of SDA that each of SDAs will transmit merely a small data amount, the network should accommodate a large number of Random Access (RA) attempts every time each SDA has something to transmit. It is one of the most important issues in LTE-A networks to efficiently handle the heavy RA load caused by a huge number of SDAs. We consider two major candidate methods for RA preamble allocation and management. Our modeling and analysis can be utilized as a guideline to design efficient RA preamble resource management methods to accommodate new network traffic patterns caused by frequent transmissions of small data by mobile data applications.

Original language	English (US)
Title of host publication	2012 IEEE Globecom Workshops, GC Wkshps 2012
Pages	436-440
Number of pages	5
DOIs	https://doi.org/10.1109/GLOCOMW.2012.6477612
State	Published - Dec 1 2012
Event	2012 IEEE Globecom Workshops, GC Wkshps 2012 - Anaheim, CA, United States Duration: Dec 3 2012 → Dec 7 2012

Publication series

Name	2012 IEEE Globecom Workshops, GC Wkshps 2012

Other

Other	2012 IEEE Globecom Workshops, GC Wkshps 2012
Country/Territory	United States
City	Anaheim, CA
Period	12/3/12 → 12/7/12

Keywords

Collision Probability
LTE-Advanced
Long Term Evolution (LTE)
Machine-to-Machine (M2M)
Small Data Application (SDA)
Throughput

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/GLOCOMW.2012.6477612

Cite this

Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications. / Lee, Ki Dong; Reisslein, Martin; Ryu, Kiseon; Kim, Sang.

2012 IEEE Globecom Workshops, GC Wkshps 2012. 2012. p. 436-440 6477612 (2012 IEEE Globecom Workshops, GC Wkshps 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, KD, Reisslein, M, Ryu, K & Kim, S 2012, Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications. in 2012 IEEE Globecom Workshops, GC Wkshps 2012., 6477612, 2012 IEEE Globecom Workshops, GC Wkshps 2012, pp. 436-440, 2012 IEEE Globecom Workshops, GC Wkshps 2012, Anaheim, CA, United States, 12/3/12. https://doi.org/10.1109/GLOCOMW.2012.6477612

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abstract = "Along with the further enhancement from Long Term Evolution (LTE), LTE-Advanced (LTE-A) will provide more diversified mobile applications services. One of them is so-called 'Small Data Applications (SDAs).' Due to the unique characteristic of SDA that each of SDAs will transmit merely a small data amount, the network should accommodate a large number of Random Access (RA) attempts every time each SDA has something to transmit. It is one of the most important issues in LTE-A networks to efficiently handle the heavy RA load caused by a huge number of SDAs. We consider two major candidate methods for RA preamble allocation and management. Our modeling and analysis can be utilized as a guideline to design efficient RA preamble resource management methods to accommodate new network traffic patterns caused by frequent transmissions of small data by mobile data applications.",

keywords = "Collision Probability, LTE-Advanced, Long Term Evolution (LTE), Machine-to-Machine (M2M), Small Data Application (SDA), Throughput",

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AB - Along with the further enhancement from Long Term Evolution (LTE), LTE-Advanced (LTE-A) will provide more diversified mobile applications services. One of them is so-called 'Small Data Applications (SDAs).' Due to the unique characteristic of SDA that each of SDAs will transmit merely a small data amount, the network should accommodate a large number of Random Access (RA) attempts every time each SDA has something to transmit. It is one of the most important issues in LTE-A networks to efficiently handle the heavy RA load caused by a huge number of SDAs. We consider two major candidate methods for RA preamble allocation and management. Our modeling and analysis can be utilized as a guideline to design efficient RA preamble resource management methods to accommodate new network traffic patterns caused by frequent transmissions of small data by mobile data applications.

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Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications

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Keywords

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