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ai for 5G: research directions and paradigms

Science China(Information Sciences) 2019年第2期62卷 5-17页

作者： Xiaohu YOU Chuan ZHANG Xiaosi TAN Shi JIN Hequan WU National Mobile Communications Research Laboratory Southeast University Chinese Academy of Engineering

Wireless communication technologies such as fifth generation mobile networks(5 G) will not only provide an increase of 1000 times in Internet traffic in the next decade but will also offer the underlying technologies to entire industries to support Internet of things(IOT) technologies. Compared to existing mobile communication techniques, 5 G has more varied applications and its corresponding system design is more complicated. The resurgence of artificial intelligence(ai) techniques offers an alternative option that is possibly superior to traditional ideas and performance. Typical and potential research directions related to the promising contributions that can be achieved through ai must be identified, evaluated, and *** this end, this study provides an overview that first combs through several promising research directions in ai for 5 G technologies based on an understanding of the key technologies in 5 G. In addition, the study focuses on providing design paradigms including 5 G network optimization, optimal resource allocation, 5 G physical layer unified acceleration, end-to-end physical layer joint optimization, and so on.

关键词： 5G mobile communication ai techniques network optimization resource allocation unified acceleration end-to-end joint optimization

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An Expert System Realization for Conceptual Design of Mechanical Products

引用

Computer aided Drafting,Design and Manufacturing 1991年第1期2卷 35-45页

作者： TONG Bingshu LI Yulin

Through the practice of developing an expert system FBCDES(Feed Box Conceptual De- sign Expert System)for the planomillingmachine in CIMS ERC(CIMS Engineering Research Center) in China,the paper intends to introduce a common problem-solving strategy for the mechanical product conceptual design expert *** some problems such as system architecture,knowledge representations and inference engine sets are also described.A yet more detailed discussion is given to the technical problems for realizing two key modules,that is concept design module and layout module.

关键词： Expert system Conceptual design ai techniques

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