Wireless Resource Scheduling for High Mobility Scenarios: A Combined Traffic and Channel Quality Prediction Approach-Reference-Cited by-同舟云学术

Wireless Resource Scheduling for High Mobility Scenarios: A Combined Traffic and Channel Quality Prediction Approach

Published:2022-09 Issue:3 Volume:68 Page:712-722
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Xiong Jian¹^ORCID,Hu Hengrui¹,Cheng Peng²^ORCID,Yang Can¹,Shi Zhiping³,Gui Lin¹

Affiliation:

1. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

3. Yangtze Delta Region Institute (Huzhou) and National Key Laboratory of Communications, University of Electronic Science and Technology of China, Huzhou, P. R. China

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Digital Media Processing and Transmission

Shanghai Pujiang Program

111 Project

National Key Laboratory of Science and Technology on Communications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/9875129/09682424.pdf?arnumber=9682424

Reference24 articles.

1. Cooperative Caching Services on High-Speed Train by Reverse Auction

2. An Energy-Quality Utility-Based Adaptive Scheduling Solution for Mobile Users in Dense Networks

3. Subband CQI Feedback-Based Multicast Resource Allocation in MIMO-OFDMA Networks

4. A Stock Price Forecasting Method Using Autoregressive Integrated Moving Average model and Gated Recurrent Unit Network

5. Multi-scale network traffic prediction using K-factor gegenbauer ARMA and MLP models

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