ub8安卓客户端

                                                                          博体育

                                                                          网信的彩的网址首页

                                                                          m5体彩手机登录

                                                                          贝斯特奢华游戏平台

                                                                          u9的彩首页

                                                                          宝赢彩票登录

                                                                          信的彩的网的登陆网址

                                                                          天奇彩票平台-首页

                                                                          ag电子 娱mg乐

                                                                          Dr. Zhou Fuhui’s Paper Selected as the ESI Most-cited Paper

                                                                          • Author : Nanchang University
                                                                          • Source : Nanchang University
                                                                          • Date : May . 22, 2019

                                                                          Recently, the paper entitled “State of the Art, Taxonomy, and Open Issues Cognitive Radio Networks with NOMA” and jointly published by Dr. Zhou Fuhui from the Information Engineering School of Nanchang University, Associate Professor Wu Yongpeng from Shanghai Jiaotong University, Professor Liang Yingchang from University of Electronic Science and Technology of China, Professor Li Zan from Xidian University, and Professor Kai Kit Wong from University of London in the international authoritative journal of communication–IEEE Wireless Communications (1 Division of CAS, Impact Factor: 9.202) in March 20, 2018 was selected as ESI most-cited paper.

                                                                          This paper gives a comprehensive review and classification of the existing researches on the NOMA mechanism and cognitive radio network, and analyzes in detail the technical challenges faced by the NOMA-based cognitive radio, and gives a feasible solution. This paper is the first review article on the NOMA mechanism and cognitive radio network.



                                                                          博体育

                                                                          网信的彩的网址首页

                                                                          m5体彩手机登录

                                                                          贝斯特奢华游戏平台

                                                                          u9的彩首页

                                                                          宝赢彩票登录

                                                                          信的彩的网的登陆网址

                                                                          天奇彩票平台-首页

                                                                          ag电子 娱mg乐

                                                                          博体育

                                                                          网信的彩的网址首页

                                                                          m5体彩手机登录

                                                                          贝斯特奢华游戏平台

                                                                          u9的彩首页

                                                                          宝赢彩票登录

                                                                          信的彩的网的登陆网址

                                                                          天奇彩票平台-首页

                                                                          ag电子 娱mg乐