RAT Selection in 3GPP-Based Cellular Heterogeneous Networks: From Theory to Practical Implementation

2007 IEEE Wireless Communications and Networking Conference ◽

10.1109/wcnc.2007.396 ◽

2007 ◽

Author(s):

J. Perez-Romero ◽

R. Ferrus ◽

O. Sallent ◽

J. Olmos

Keyword(s):

Heterogeneous Networks ◽

Practical Implementation ◽

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A two phase RAT selection strategy based on network load and SIR for CDMA-OFDMA heterogeneous networks

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content ◽

10.1109/icnidc.2010.5657903 ◽

2010 ◽

Author(s):

Ning Li ◽

Jiaru Lin

Keyword(s):

Heterogeneous Networks ◽

Selection Strategy ◽

Two Phase ◽

Network Load ◽

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A hybrid approach for RAT selection in wireless heterogeneous networks

2013 Third International Conference on Communications and Information Technology (ICCIT) ◽

10.1109/iccitechnology.2013.6579566 ◽

2013 ◽

Author(s):

Mohamad Yassin ◽

Marc Ibrahim ◽

Samer Lahoud

Keyword(s):

Heterogeneous Networks ◽

Hybrid Approach ◽

Wireless Heterogeneous Networks ◽

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A Radio Resource Virtualization-Based RAT Selection Scheme in Heterogeneous Networks

IEEE Communications Letters ◽

10.1109/lcomm.2017.2664808 ◽

2017 ◽

Vol 21 (5) ◽

pp. 1147-1150 ◽

Author(s):

Shaoshuai Fan ◽

Hui Tian ◽

Weidong Wang

Keyword(s):

Heterogeneous Networks ◽

Radio Resource ◽

Selection Scheme ◽

Resource Virtualization ◽

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Learning RAT Selection Game in 5G Heterogeneous Networks

IEEE Wireless Communications Letters ◽

10.1109/lwc.2015.2495123 ◽

2016 ◽

Vol 5 (1) ◽

pp. 52-55 ◽

Author(s):

Parnia Naghavi ◽

Seyed Hamed Rastegar ◽

Vahid Shah-Mansouri ◽

Hamed Kebriaei

Keyword(s):

Heterogeneous Networks ◽

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QoS demands splitting for RAT selection in heterogeneous networks

2015 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2015.7448761 ◽

2015 ◽

Author(s):

Yichen Yao ◽

Ruijia Sun ◽

Xiaoying Gan ◽

Jingchao Wang ◽

Xiaohua Tian

Keyword(s):

Heterogeneous Networks ◽

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A Stackelberg Based Leadership Algorithm for RAT Selection in Heterogeneous Networks

10.1109/iemcon53756.2021.9623171 ◽

2021 ◽

Author(s):

Samin Nili-Ahmadabadi ◽

Behrad Soleimani ◽

Vahid Shah-Mansouri

Keyword(s):

Heterogeneous Networks ◽

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Distributed heuristic algorithms for RAT selection in wireless heterogeneous networks

2012 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2012.6214162 ◽

2012 ◽

Author(s):

Farah Moety ◽

Marc Ibrahim ◽

Samer Lahoud ◽

Kinda Khawam

Keyword(s):

Heterogeneous Networks ◽

Heuristic Algorithms ◽

Wireless Heterogeneous Networks ◽

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Machine learning aided cognitive RAT selection for 5G heterogeneous networks

2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) ◽

10.1109/blackseacom.2017.8277675 ◽

2017 ◽

Author(s):

Juan S. Perez ◽

Sudharman K. Jayaweera ◽

Steven Lane

Keyword(s):

Machine Learning ◽

Heterogeneous Networks ◽

Selection For ◽

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RAT selection based on association probability in 5G heterogeneous networks

2017 IEEE Symposium on Communications and Vehicular Technology (SCVT) ◽

10.1109/scvt.2017.8240310 ◽

2017 ◽

Author(s):

Behrad Soleymani ◽

Amirreza Zamani ◽

Seyed Hamed Rastegar ◽

Vahid Shah-Mansouri

Keyword(s):

Heterogeneous Networks ◽

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An Overview of Digital Image Processing and Recognition (Invited Paper)

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100055837 ◽

1982 ◽

Vol 40 ◽

pp. 700-702

Author(s):

R. C. Gonzalez

Keyword(s):

Image Processing ◽

New York ◽

Digital Image Processing ◽

Digital Image ◽

Practical Implementation ◽

Submarine Cable ◽

Vigorous Growth ◽

Digitized Pictures ◽

Processing Techniques ◽

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

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