On the study of fundamental trade-offs between QoE and energy efficiency in wireless networks-Reference-Cited by-同舟云学术

On the study of fundamental trade-offs between QoE and energy efficiency in wireless networks

Published:2013-04 Issue:3 Volume:24 Page:259-265
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans. Emerging Tel. Tech.

Author:

Zhang X.¹,Zhang J.¹,Huang Y.¹,Wang W.¹

Affiliation:

1. Wireless Signal Processing and Network Laboratory, Key Laboratory of Universal Wireless Communication, Ministry of Education; Beijing University of Posts and Telecommunications; Beijing; 100876; China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ett.2640/fullpdf

Reference15 articles.

1. Green cellular networks: a survey, some research issues and challenges;Hasan;IEEE Communications Surveys and Tutorials,2011

2. Cell zooming for cost-efficient green cellular networks;Niu;IEEE Communications Magazine,2010

3. An energy-efficient opportunistic multicast scheduling based on superposition coding for mixed traffics in wireless networks;Zhang;EURASIP Journal on Wireless Communications and Networking,2012

4. Study of the potential energy savings in ethernet by combining energy efficient ethernet and adaptive link rate;Reviriego;Transactions on Emerging Telecommunications Technologies,2012

5. Fundamental trade-offs on green wireless networks;Chen;IEEE Communications Magazine,2011

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Power efficient UAV placement and resource allocation for adaptive video streaming in wireless networks;Ad Hoc Networks;2023-11

2. Collaborative Multiagent Reinforcement Learning Aided Resource Allocation for UAV Anti-Jamming Communication;IEEE Internet of Things Journal;2022-12-01

3. Towards the Design and Evaluation of More Sustainable Multimedia Experiences: Which Role Can QoE Research Play?;ACM SIGMultimedia Records;2022-09

4. Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters;Soft Computing;2020-12-12

5. End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs;Journal of Network and Computer Applications;2020-11