Paper Info
Title
A Priority-Based Predictive Resource Scheduling Algorithm For Mtc In Lte Networks
Abstract
Current communication networks are mainly designed for Human-to-Human (H2H) communication requirements. However, future Internet of Things (IOT) and fifth-generation mobile communications system (5G) will connect a lot of mechanical equipment. Therefore, this paper proposes a priority-based predictive resource scheduling algorithm that integrates the predictive method and priority scheduling for the uplink of Massive Machine Type Communication (mMTC). The predictive method is used to reduce the delay of a device sent scheduling request to the eNodeB to obtain the approved resources for data transmission. This is combined with a priority ranking sequence to develop the optimal resource allocation strategy to reduce the total delay time, and improve the transmission success rate and resource utilization. Simulation results show that the proposed algorithm can effectively reduce delay and increase the transmission success rate, compared with the existing methods.
Year
DOI
Venue
2021
10.6688/JISE.202107_37(4).0010
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Keywords
DocType
Volume
MTC, machine type communication, uplink scheduling, resource allocation, scheduling request, priority
Journal
37
Issue
ISSN
Citations 
4
1016-2364
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Chung-Nan Lee100.34
Chun-Yen Tseng200.34
Ming-Feng Lee322.07