Paper Info
Title
Predictive Pre-allocation for Low-latency Uplink Access in Industrial Wireless Networks.
Abstract
Driven by mission-critical applications in modern industrial systems, the 5th generation (SG) communication system is expected to provide ultra-reliable low-latency communications (URLLC) services to meet the quality vi service (QoS) demands of industrial applications. However, these stringent requirements cannot be guaranteed by its conventional dynamic access scheme due to the complex signaling procedure. A promising solution to reduce the access delay is the pre-allocation scheme based on the semi-persistent scheduling (SPS) technique, which however may lead to low spectrum utilization if the allocated resource blocks (RBs) are not used. In this paper, we aim to address this issue by developing DPre, a predictive pre-allocation framework for uplink access scheduling of delay-sensitive applications in industrial process automation. The basic idea of DPre is to explore and exploit the correlation of data acquisition and access behavior between nodes through static and dynamic learning mechanisms in order to make judicious resource per-allocation decisions. We evaluate the effectiveness of DPre based on several monitoring applications in a steel rolling production process. Simulation results demonstrate that DPre achieves better performance in terms of the prediction accuracy, which can effectively increase the rewards of those reserved resources.
Year
DOI
Venue
2018
10.1109/infocom.2018.8486348
IEEE INFOCOM
DocType
Volume
ISSN
Conference
abs/1801.06451
0743-166X
Citations 
PageRank 
References 
0
0.34
11
Authors
5
Name
Order
Citations
PageRank
Mingyan Li1135.81
Xinping Guan212717.80
Cunqing Hua3186.70
Cai-Lian Chen483198.98
Ling Lyu5104.17