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46篇 您的检索式:作者名="Dusit"
    题名 作者 年代 出处 被引量
16G Visions:Mobile Ultra-Broadband,Super Internet-of-Things,and Artificial Intelligence显示文摘With a ten-year horizon from concept to reality, it is time now to start thinking about what will the sixth-generation(6G) mobile communications be on the eve of the fifth-generation(5G) deployment. To pave the way for the development of 6G and beyond, we provide 6G visions in this paper. We first introduce the state-of-the-art technologies in 5G and indicate the necessity to study 6G. By taking the current and emerging development of wireless communications into consideration, we envision 6G to include three major aspects, namely, mobile ultra-broadband, super Internet-of-Things(IoT), and artificial intelligence(AI). Then, we review key technologies to realize each aspect. In particular, teraherz(THz) communications can be used to support mobile ultra-broadband, symbiotic radio and satellite-assisted communications can be used to achieve super IoT, and machine learning techniques are promising candidates for AI. For each technology, we provide the basic principle, key challenges, and state-of-the-art approaches and solutions.Lin Zhang Ying-Chang Liang Dusit Niyato 2019China Communications2019,16,8:52
2智能无线通信技术研究概况显示文摘近年来,人工智能技术已被应用于无线通信领域,以解决传统无线通信技术面对信息爆炸和万物互联等新发展趋势所遇到的瓶颈问题。首先介绍深度学习、深度强化学习和联邦学习三类具有代表性的人工智能技术;然后通过对这三类技术在无线通信中的无线传输、频谱管理、资源配置、网络接入、网络及系统优化5个方面的应用进行综述,分析和总结它们在解决无线通信问题时的原理、适用性、设计方法和优缺点;最后围绕存在的局限性指出智能无线通信技术的未来发展趋势和研究方向,期望为无线通信领域的后续研究提供帮助和参考。梁应敞 谭俊杰 Dusit Niyato 2020通信学报2020,41,7:23
3Federated Learning for 6G Communications:Challenges,Methods,and Future Directions显示文摘As the 5G communication networks are being widely deployed worldwide,both industry and academia have started to move beyond 5G and explore 6G communications.It is generally believed that 6G will be established on ubiquitous Artificial Intelligence(AI)to achieve data-driven Machine Learning(ML)solutions in heterogeneous and massive-scale networks.However,traditional ML techniques require centralized data collection and processing by a central server,which is becoming a bottleneck of large-scale implementation in daily life due to significantly increasing privacy concerns.Federated learning,as an emerging distributed AI approach with privacy preservation nature,is particularly attractive for various wireless applications,especially being treated as one of the vital solutions to achieve ubiquitous AI in 6G.In this article,we first introduce the integration of 6G and federated learning and provide potential federated learning applications for 6G.We then describe key technical challenges,the corresponding federated learning methods,and open problems for future research on federated learning in the context of 6G communications.Yi Liu Xingliang Yuan Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato 2020China Communications2020,17,9:21
4基于多智能体强化学习的区块链赋能车联网中的安全数据共享显示文摘针对基于委托权益证明(Delegated Proof-of-Stake,DPoS)共识算法的区块链赋能车联网系统中区块验证的安全性与可靠性问题,矿工通过引入轻节点(如智能手机等边缘节点)共同参与区块验证,提高区块验证的安全性和可靠性。为了激励矿工主动引入轻节点,采用了斯坦伯格(Stackelberg)博弈模型对区块链用户与矿工进行建模,实现区块链用户的效用和矿工的个人利润最大化。作为博弈主方的区块链用户设定最优的区块验证的交易费,而作为博弈从方的矿工决定最优的招募验证者(即轻节点)的数量。为了找到所设计Stackelberg博弈的纳什均衡,设计了一种基于多智能体强化学习算法来搜索接近最优的策略。最后对本文方案进行验证,结果表明该方案既能实现区块链用户和矿工效益最大化,也能保证区块验证的安全性与可靠性。李明磊 章阳 康嘉文 徐敏锐 Dusit Niyato 2021广东工业大学学报2021,38,6:5
5Unusual manifestations of gastric inflammatory fibroid polyp in a child显示文摘AIM:Inflammatory fibroid polyp (IFP) is a rare benign lesion that may occur throughout the digestive tract. IFP is more commonly found in the antrum of the stomach in particular.It mostly affects adults at the average age of 60 years. These polyps are able to cause abdominal pain, gastrointestinal bleeding, intestinal obstruction or intussusception. In bhis paper we report a case of gastric IFP with unusual presenting features.Voranush Chongsrisawat Phisek Yimyeam Naruemon Wisedopas Dusit Viravaidya Yong Poovorawan 2004World Journal of Gastroenterology2004,10,3:3
66G-Enabled Edge AI for Metaverse:Challenges, Methods,and Future Research Directions显示文摘Sixth generation(6G)enabled edge intelligence opens up a new era of Internet of everything and makes it possible to interconnect people-devices-cloud anytime,anywhere.More and more next-generation wireless network smart service applications are changing our way of life and improving our quality of life.As the hottest new form of next-generation Internet applications,Metaverse is striving to connect billions of users and create a shared world where virtual and reality merge.However,limited by resources,computing power,and sensory devices,Metaverse is still far from realizing its full vision of immersion,materialization,and interoperability.To this end,this survey aims to realize this vision through the organic integration of 6G-enabled edge artificial intelligence(AI)and Metaverse.Specifically,we first introduce three new types of edge-Metaverse architectures that use 6G-enabled edge AI to solve resource and computing constraints in Metaverse.Then we summarize technical challenges that these architectures face in Metaverse and the existing solutions.Furthermore,we explore how the edge-Metaverse architecture technology helps Metaverse to interact and share digital data.Finally,we discuss future research directions to realize the true vision of Metaverse with 6G-enabled edge AI.Luyi Chang Zhe Zhang Pei Li Shan Xi Wei Guo Yukang Shen Zehui Xiong Jiawen Kang Dusit Niyato Xiuquan Qiao Yi Wu 2022Journal of Communications and Information Networks2022,7,2:2
7Service Differentiation in Broad Wireless A- ccess Networks with Scheduling and Connection Admission Control: A Unified Analysis 显示文摘Dusit N Ekram H 2007IEEE Transactions on Wireless Communications2007,6,1:1
8Molecular and cellula r approaches to the plant embryo development from somatic cells in vitro显示文摘Dusits D Bogre L Gyorgye Y 1991J Cell Sci1991,99,:1
9Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion显示文摘Dusit Niyato Ekram Hossain 2008IEEE journal on selected areas in communications2008,26,1:1
10Adaptive Fair Subcarrier Rate Allocation in Multirate OFDMA Networks Radio Link Level Queuing Performance Analysis 显示文摘Dusit Niyato 2006IEEE Trans on Vehicular Technology2006,55,6:1
11Molecular and cellular approaches to the plant embryo development from somatic cells in vitro显示文摘Dusits D Bogre L Gyorgye Y 1991J Cell Sci1991,99,:1
12Optimizing Training-Based Transmission Against Smart Jamming显示文摘Xiangyun Zhou Dusit Niyato Are Hjorungnes 0,,06:1
13Impaired renal response to portal infusion of hypertonic saline in adriamycin‐treated rats显示文摘Dusit Jirakulsomchok Supitcha Napawachirahat Narupon Kunbootsri Tunda Suttitum Panakaporn Wannanon James Michael Wyss Sanya Roysommuti 2012Clin Exp Pharmacol Physiol2012,,7:1
14Competitive spectrum sharing in cognitive radio networks:a dynamic game approach显示文摘Dusit Niyato Ekram Hossain 2008IEEE Transactions on Wireless Communications2008,7,7:1
15Molecular and cellularapp roaches to the plant embryo development from somatic ceils in vitro显示文摘Dusits D Bogre L Gyorgye Y 1991J Cell Sci1991,99,:1
16Competitive pricing for spectrum sharing in cognitive radio networks:dynamic game,inefficiency of Nash equilibrium,and collusion显示文摘Dusit N Ekram H 0,,01:1
17Market equilibrium,competitive,and cooperative pricing for spectrum sharing in cognitive radio networks:analysis and comparison显示文摘Dusit N Ekram H 0,,11:1
18Impaired renal response to portal infusion of hypertonic saline in adriamycin‐treated rats显示文摘Dusit Jirakulsomchok Supitcha Napawachirahat Narupon Kunbootsri Tunda Suttitum Panakaporn Wannanon James Michael Wyss Sanya Roysommuti 2012Clin Exp Pharmacol Physiol2012,,7:1
19A Survey of Mobile Cloud Computing: Architecture,Applications, and Approaches显示文摘HOANG D CHONHO L DUSIT N 2013Wireless Communications and Mobile Computing2013,13,18:1
20Reliability Analysis and Redundancy Design of Smart Grid Wireless Commun{cations System for Demand Side Management 显示文摘DUSIT NIYATO PING Wang 2012[EEE Wireless Communications2012,9,3:1
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