Traffic-load prediction based on echo state network improved by Bayesian theory in 10G-EPON

The Journal of China Universities of Posts and Telecommunications ◽

10.1016/s1005-8885(15)60641-0 ◽

2015 ◽

Vol 22 (2) ◽

pp. 69-73 ◽

Author(s):

Bai Huifeng ◽

Zhao Xianlong ◽

Zhou Hongfeng ◽

Zhang Likun

Keyword(s):

Bayesian Theory ◽

Traffic Load ◽

Echo State Network ◽

Load Prediction

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Online Supervised Learning for Traffic Load Prediction in Framed-ALOHA Networks

IEEE Communications Letters ◽

10.1109/lcomm.2019.2931693 ◽

2019 ◽

Vol 23 (10) ◽

pp. 1778-1782 ◽

Author(s):

Nan Jiang ◽

Yansha Deng ◽

Osvaldo Simeone ◽

Arumugam Nallanathan

Keyword(s):

Supervised Learning ◽

Traffic Load ◽

Load Prediction

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Cellular Traffic Load Prediction with LSTM and Gaussian Process Regression

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) ◽

10.1109/icc40277.2020.9148738 ◽

2020 ◽

Author(s):

Wei Wang ◽

Conghao Zhou ◽

Hongli He ◽

Wen Wu ◽

Weihua Zhuang ◽

...

Keyword(s):

Gaussian Process ◽

Gaussian Process Regression ◽

Traffic Load ◽

Load Prediction ◽

Cellular Traffic

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Deep Learning and Ensemble Learning for Traffic Load Prediction in Real Network

2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE) ◽

10.1109/ecice50847.2020.9302005 ◽

2020 ◽

Author(s):

Chien-Chi Kao ◽

Chih-Wei Chang ◽

Ching-Po Cho ◽

Jin-Yuan Shun

Keyword(s):

Deep Learning ◽

Ensemble Learning ◽

Traffic Load ◽

Load Prediction ◽

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Sensor network traffic load prediction with Markov random field theory

2015 4th International Conference on Computer Science and Network Technology (ICCSNT) ◽

10.1109/iccsnt.2015.7490898 ◽

2015 ◽

Author(s):

Yan Cai ◽

Limin Yu

Keyword(s):

Field Theory ◽

Random Field ◽

Sensor Network ◽

Markov Random Field ◽

Network Traffic ◽

Traffic Load ◽

Load Prediction ◽

Random Field Theory ◽

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Energy savings scheme in radio access networks via compressive sensing-based traffic load prediction

Transactions on Emerging Telecommunications Technologies ◽

10.1002/ett.2583 ◽

2012 ◽

Vol 25 (4) ◽

pp. 468-478 ◽

Author(s):

Rongpeng Li ◽

Zhifeng Zhao ◽

Xuan Zhou ◽

Honggang Zhang

Keyword(s):

Compressive Sensing ◽

Energy Savings ◽

Access Networks ◽

Traffic Load ◽

Load Prediction ◽

Radio Access Networks ◽

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Data-driven resource allocation with traffic load prediction

Journal of Communications and Information Networks ◽

10.1007/s41650-017-0005-y ◽

2017 ◽

Vol 2 (1) ◽

pp. 52-65 ◽

Author(s):

Chuting Yao ◽

Chenyang Yang ◽

Chih-Lin I

Keyword(s):

Resource Allocation ◽

Traffic Load ◽

Data Driven ◽

Load Prediction

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An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach

IEEE Internet of Things Journal ◽

10.1109/jiot.2018.2838574 ◽

2018 ◽

Vol 5 (6) ◽

pp. 5141-5154 ◽

Author(s):

Fengxiao Tang ◽

Zubair Md. Fadlullah ◽

Bomin Mao ◽

Nei Kato

Keyword(s):

Deep Learning ◽

Channel Assignment ◽

Traffic Load ◽

Learning Approach ◽

Load Prediction ◽

Assignment Algorithm

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ARIMA for Traffic Load Prediction in Software Defined Networks

Evolutionary Computing and Mobile Sustainable Networks - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-15-5258-8_75 ◽

2020 ◽

pp. 815-824

Author(s):

Sarika Nyaramneni ◽

Md Abdul Saifulla ◽

Shaik Mahboob Shareef

Keyword(s):

Traffic Load ◽

Software Defined Networks ◽

Load Prediction

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Base Station Sleeping Mechanism for Reduced Delay Using Traffic Load Prediction

Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering ◽

10.18178/wcse.2017.06.216 ◽

2017 ◽

Keyword(s):

Base Station ◽

Traffic Load ◽

Load Prediction ◽

Sleeping Mechanism

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An Analysis of Traffic Load Prediction Base on Auto Regressive Model in Small Time Granularity

2006 International Conference on Communications, Circuits and Systems ◽

10.1109/icccas.2006.285007 ◽

2006 ◽

Author(s):

Wang Jianxin ◽

Xiao Xuefeng ◽

Ye Jin

Keyword(s):

Traffic Load ◽

Load Prediction ◽

Regressive Model ◽

Auto Regressive ◽

Auto Regressive Model

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