Resource usage of LTE networks for machine-to-Machine group communications: Modeling and analysis. (October 2018)
- Record Type:
- Journal Article
- Title:
- Resource usage of LTE networks for machine-to-Machine group communications: Modeling and analysis. (October 2018)
- Main Title:
- Resource usage of LTE networks for machine-to-Machine group communications: Modeling and analysis
- Authors:
- Chu, Eunmi
Yoo, Hoyoung
Jung, Bang Chul - Abstract:
- Abstract: Machine nodes (MNs) such as monitoring devices and utility devices can be handled with machine-to-machine (M2M) group communications in commercial 3GPP LTE networks. However, the current LTE networks are designed for human-oriented communication, i.e., human-to-human (H2H) communication, as a main service. Hence, the M2M group communications may utilize a limited amount of radio resource in the LTE networks so that they do not degrade the quality-of-services (QoS) of the H2H communications. Under the resource limitation, the MNs in the M2M communication group may suffer resource contentions when they simultaneously send uplink data packets to a base station (BS). In this paper, we first mathematically model the overall procedure of the M2M group communications. Then, we also optimize the system parameters for the M2M group communications to maximize resource utilization of the LTE networks and minimize the packet transmission delay, while satisfying the resource constraint.
- Is Part Of:
- Computers & electrical engineering. Volume 71(2018)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 71(2018)
- Issue Display:
- Volume 71, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 71
- Issue:
- 2018
- Issue Sort Value:
- 2018-0071-2018-0000
- Page Start:
- 321
- Page End:
- 330
- Publication Date:
- 2018-10
- Subjects:
- LTE Networks -- M2M Group communications -- Resource utilization -- Parameter optimization -- Packet delay.
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2018.07.031 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18558.xml