RTT-ESLA 2017 - 2017 Workshop on Radio Transmission Technology with Evolution and Self-Learning Algorithms (RTT-ESLA)
Topics/Call fo Papers
The IEEE PIMRC'17 will be held in the beautiful city Montreal, Canada during October 8-13, 2017. In conjunction with the important event, we are going to organize the workshop "Radio Transmission Technology with Evolution and Self-Learning Algorithms (RTT-ESLA)" in PIMRC2017. We will invite international experts in field of machine-learning algorithm, biological algorithm, and wireless communictions to give keynote speeches as well as panel discussions. We are cordinaly inviting you or your group member to submit manuscripts and participate in the workshop.
Workshop Scope:
With the developments and applications of wireless communications, more and more applications require advanced radio transmission technology (RTT) to reach the goal of low-power, high spectrum efficiency and flexible to multiple scenarios such as mobile broadband, ultra reliable communications, internet-of-things. Recently intelligent optimization and self-learning algorithms are widely studied. Evolution algorithm is to find maximum point with complex non-continuous cost functions by biologic technology such as genetic algorithm and particle swarm optimization. Self-learning algorithm is lighted up with the success of machine-learning in artificial intelligent field. With the strong requirements to RTT and fruitful achievements in evolution and self-learning algorithm (ESLA), it is foreseen that applying ESLA to RTT may help solve some challenges in wireless communications.
This workshop will provide a forum for both industry and academia to exchange views and visions. Topics of interest include but are not limited to the following:
• Overview of intelligent optimization
• Overview of machine-learning algorithms
• Massive MIMO with ESLA
• Position/location estimation with ESLA
• Radio resource management with ESLA
• Signal detection with ESLA
• Channel estimation and tracking with ESLA
• Channel coding and decoding with ESLA
• Power control with ESLA
Important Dates
Paper Submission:July 27, 2017
Acceptance Notification: August 11, 2017
Camera-Ready: August 18, 2017
Workshop: October 18(TBD), 2017
Submission Entrance http://edas.info/N23914
Steering Board
Prof. Eduard Hovy
Carnegie Mellon University
Prof. Tony Quek,
University of Technology and Design
Prof. Xuefeng Yin, Tongji University
Prof. Bin Xia, Shanghai Jiaotong Un.
Hua Huang, Shanghai Huawei
Prof. Liang Xiao, Xiamen University
General Chairs
Dr. Yi Wang, Huawei, China
Prof. Xiaojie Wang, BUPT, China
Technical Program Members
Dr. Jiang Xue, Shanghai Jiaotong Un.
Rita Singh,CMU,USA
Xiaodong Liu,Microsoft,USA
Weidong Wang,BUPT,China
Lei Li, BUPT,China
Zhenyu Shi, Huawei
Kai Niu, BUPT, China
Wei Zhou, Huawei
Workshop Scope:
With the developments and applications of wireless communications, more and more applications require advanced radio transmission technology (RTT) to reach the goal of low-power, high spectrum efficiency and flexible to multiple scenarios such as mobile broadband, ultra reliable communications, internet-of-things. Recently intelligent optimization and self-learning algorithms are widely studied. Evolution algorithm is to find maximum point with complex non-continuous cost functions by biologic technology such as genetic algorithm and particle swarm optimization. Self-learning algorithm is lighted up with the success of machine-learning in artificial intelligent field. With the strong requirements to RTT and fruitful achievements in evolution and self-learning algorithm (ESLA), it is foreseen that applying ESLA to RTT may help solve some challenges in wireless communications.
This workshop will provide a forum for both industry and academia to exchange views and visions. Topics of interest include but are not limited to the following:
• Overview of intelligent optimization
• Overview of machine-learning algorithms
• Massive MIMO with ESLA
• Position/location estimation with ESLA
• Radio resource management with ESLA
• Signal detection with ESLA
• Channel estimation and tracking with ESLA
• Channel coding and decoding with ESLA
• Power control with ESLA
Important Dates
Paper Submission:July 27, 2017
Acceptance Notification: August 11, 2017
Camera-Ready: August 18, 2017
Workshop: October 18(TBD), 2017
Submission Entrance http://edas.info/N23914
Steering Board
Prof. Eduard Hovy
Carnegie Mellon University
Prof. Tony Quek,
University of Technology and Design
Prof. Xuefeng Yin, Tongji University
Prof. Bin Xia, Shanghai Jiaotong Un.
Hua Huang, Shanghai Huawei
Prof. Liang Xiao, Xiamen University
General Chairs
Dr. Yi Wang, Huawei, China
Prof. Xiaojie Wang, BUPT, China
Technical Program Members
Dr. Jiang Xue, Shanghai Jiaotong Un.
Rita Singh,CMU,USA
Xiaodong Liu,Microsoft,USA
Weidong Wang,BUPT,China
Lei Li, BUPT,China
Zhenyu Shi, Huawei
Kai Niu, BUPT, China
Wei Zhou, Huawei
Other CFPs
- ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
- 14th International SoC Design Conference
- 15th International Colloquium on Implementation of Constraint and LOgic Programming Systems
- 11th International Conference on Provable Security
- 18th Conference on Knowledge Extraction and Management (EGC 2018)
Last modified: 2017-06-29 22:40:55