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New Scheduling Scheme for Internet of Things in Cellular Networks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Young-June Choi | - |
| dc.contributor.author | YARED, ZERIHUNBEKELE | - |
| dc.date.accessioned | 2018-11-08T08:17:41Z | - |
| dc.date.available | 2018-11-08T08:17:41Z | - |
| dc.date.issued | 2016-08 | - |
| dc.identifier.other | 23202 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/12477 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :컴퓨터공학과,2016. 8 | - |
| dc.description.tableofcontents | 1 Internet of Things in LTE/LTE-A 1 1.1 Introduction 1 1.2 Cellular Internet of Things 3 1.3 The MTC Property 5 1.4 MTC and Its Impact on H2H 6 2 The LTE/LTE-A System 8 2.1 Introduction 8 2.2 Architecture 10 2.3 Requirements of LTE/LTE-A 11 3 Related works 13 4 MTC in LTE/LTE-A and Scheduling 19 4.1 Scheduling Function in LTE/LTE-A 19 4.2 MTC Traffic Scheduling: Observation 21 4.3 Problem Statement 24 4.3.1 Proof 26 4.3.2 A Sub-Optimal Scheduler 27 4.4 System Model 27 4.4.1 Queueing Theory and a Multiple Channel Queueing System 31 4.5 Solution using M/D/n queues 32 4.5.1 State Probabilities of M/D/n 32 4.5.2 Waiting Time Distribution of M/D/n 34 5 Conclusion and Future Work 37 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | New Scheduling Scheme for Internet of Things in Cellular Networks | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 컴퓨터공학과 | - |
| dc.date.awarded | 2016. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 758644 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000023202 | - |
| dc.subject.keyword | QoS | - |
| dc.subject.keyword | IoT | - |
| dc.subject.keyword | MTC | - |
| dc.subject.keyword | LTE/LTE-A. Scheduling | - |
| dc.description.alternativeAbstract | Current solutions by 3GPP, such as NB-IoT are emerging to support cellular IoT, which is otherwise termed as Machine Type Communication (MTC). We focus on scheduling, a key function of the Radio Resource Management(RRM) protocol in LTE/LTE-A, in the context of supporting MTC. Scheduling algorithms for Human-to-Human(H2H) Communications have been an active research area up until now. All of them do take the channel quality of the users into consideration when assigning radio resources to them owing to the fact that there is a diversity in the H2H users in terms of channel variation. We claim considering this attribute is not necessary when it comes to scheduling MTC users particularly smart meters. We would rather concentrate on the QoS requirements of the MTC devices, and propose a more appropriate numerical model that can be used to calculate the grant times required for QoS constrained MTC users. A queueing model is adopted to analyze the waiting time distribution of the MTC traffic. A MATLAB code to calculate state probabilities and waiting time distribution for our model is also developed. | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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