Paper Info
Title
Wireless Resource Scheduling for High Mobility Scenarios: A Combined Traffic and Channel Quality Prediction Approach
Abstract
The rapid growth of mobile data traffic in a high-speed scenario imposes great challenges on wireless system design and optimization, where the inherent Doppler shift, frequent cell switching, and large penetration loss will significantly degrade the quality of transceiver signals. Wireless resource scheduling dynamically allocates wireless resources according to the user channel conditions and quality of service requirement, which is an enabling approach to maximize the resource utilization. In this paper, we develop a new wireless resource scheduling method in high mobility scenario to uplift the system performance. We first propose a feature extraction algorithm to extract the spatial traffic characteristics. On this basis, several time-series prediction algorithms are leveraged to predict the traffic volume. Then, we introduce cell switching indicator (CSI) into channel quality prediction to improve the signal-to-noise ratio (SNR) prediction performance. Based on the predicted results of service traffic and user channel quality variations, a resource scheduling strategy is proposed, which compromises the total system throughput and user satisfaction. Simulation results validate the effectiveness of the proposed scheduling algorithm.
Year
DOI
Venue
2022
10.1109/TBC.2022.3141609
IEEE Transactions on Broadcasting
Keywords
DocType
Volume
Channel quality prediction,high-speed railway communication,traffic flow prediction,wireless resource scheduling
Journal
68
Issue
ISSN
Citations 
3
0018-9316
1
PageRank 
References 
Authors
0.37
12
6
Name
Order
Citations
PageRank
Jian Xiong1181.78
Hengrui Hu210.70
Peng Cheng3148185.79
Can Yang410.70
Zhiping Shi516843.86
Lin Gui6505.81