Pool resource management based on early collision detection in random access of massive MTC over LTE

Zahra Alavikia, Abdorasoul Ghasemi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Collision in Random Access (RA) procedure of Long-Term Evolution (LTE) networks is the main problem in supporting massive Machine-Type Communications (MTC). Current solutions for resolving MTC Devices (MTCDs) collisions in the LTE incur additional overhead to existing MTCDs which may not be efficient for cost-effective MTCDs. Also, the lack of proper Physical Resource Blocks (PRBs) management scheme may waste a large number of PRBs and leads to poor RA performance upon massive access of MTCDs. To this end, a simple PRBs management scheme based on the early preamble collision detection is proposed in this paper to improve the RA throughput of massive MTC. By exploiting the pool of RA resources and upon collision detection, a proper number of PRBs is granted to each collided preamble by estimating the number of collided MTCDs. To sustain the number of consumed PRBs around a certain threshold, the number of contending MTCDs is regulated using an appropriate Access Class Barring (ACB) factor. Simulation results show that the RA throughput and average RA delay can be improved using the proposed solution compared to the previous schemes; while the expected number of consumed PRBs in each RA procedure is sustained below a certain threshold.

Original languageEnglish
Article number101883
Number of pages13
JournalAd Hoc Networks
Volume91
Early online date14 May 2019
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019

Keywords

  • Long-Term Evolution (LTE)
  • Machine-Type Communications (MTC)
  • Random access procedure

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Pool resource management based on early collision detection in random access of massive MTC over LTE'. Together they form a unique fingerprint.

Cite this