Pub Date : 2020-03-16DOI: 10.3969/J.ISSN.1673-5188.2018.01.001
Yang Kun, Hu Jie
{"title":"Wireless Data and Energy Integrated Communication Networks","authors":"Yang Kun, Hu Jie","doi":"10.3969/J.ISSN.1673-5188.2018.01.001","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2018.01.001","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47483346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-16DOI: 10.3969/J.ISSN.1673-5188.2018.01.008
Li Tai-hao, Zhou Jianshe, L. Shupeng, Shi Jinsheng, R. Fuji
LI Taihao, ZHOU Jianshe, LIU Shupeng , SHI Jinsheng , and REN Fuji (1. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China; 2. Flatley Discovery Lab, Boston 02129, USA; 3. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China; 4. Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 7708506, Japan)
{"title":"Phase-Locked Loop Based Cancellation of ECG Power Line Interference","authors":"Li Tai-hao, Zhou Jianshe, L. Shupeng, Shi Jinsheng, R. Fuji","doi":"10.3969/J.ISSN.1673-5188.2018.01.008","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2018.01.008","url":null,"abstract":"LI Taihao, ZHOU Jianshe, LIU Shupeng , SHI Jinsheng , and REN Fuji (1. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China; 2. Flatley Discovery Lab, Boston 02129, USA; 3. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China; 4. Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 7708506, Japan)","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45191261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-24DOI: 10.3969/J.ISSN.1673-5188.2017.03.005
Shi Lei, Zhao Liang, Song Wenzhan, Goutham Kamath, WU Yuan, Liu Xuefeng
SHI Lei, ZHAO Liang, SONG Wenzhan, Goutham Kamath, WU Yuan, and LIU Xuefeng (1. Georgia State University, Atlanta, GA 30302, USA; 2. Georgia Gwinnett College, Lawrenceville, GA 30043, USA; 3. University of Georgia, Athens, GA 30602, USA; 4. Zhejiang University of Technology, Hangzhou 310023, China; 5. The Hong Kong Polytechnic University, Hong Kong, China) Many science and engineering applications involve solving a linear least ⁃ squares system formed from some field mea⁃ surements. In the distributed cyber ⁃ physical systems (CPS), each sensor node used for measurement often only knows partial independent rows of the least ⁃ squares system. To solve the least ⁃ squares all the measurements must be gath⁃ ered at a centralized location and then perform the computa⁃ tion. Such data collection and computation are inefficient be⁃ cause of bandwidth and time constraints and sometimes are infeasible because of data privacy concerns. Iterative meth⁃ ods are natural candidates for solving the aforementioned problem and there are many studies regarding this. However, most of the proposed solutions are related to centralized/par⁃ allel computations while only a few have the potential to be applied in distributed networks. Thus distributed computa⁃ tions are strongly preferred or demanded in many of the real world applications, e.g. smart⁃grid, target tracking, etc. This paper surveys the representative iterative methods for distrib⁃ uted least⁃squares in networks.
{"title":"Distributed Least-Squares Iterative Methods in Large-Scale Networks: A Survey","authors":"Shi Lei, Zhao Liang, Song Wenzhan, Goutham Kamath, WU Yuan, Liu Xuefeng","doi":"10.3969/J.ISSN.1673-5188.2017.03.005","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2017.03.005","url":null,"abstract":"SHI Lei, ZHAO Liang, SONG Wenzhan, Goutham Kamath, WU Yuan, and LIU Xuefeng (1. Georgia State University, Atlanta, GA 30302, USA; 2. Georgia Gwinnett College, Lawrenceville, GA 30043, USA; 3. University of Georgia, Athens, GA 30602, USA; 4. Zhejiang University of Technology, Hangzhou 310023, China; 5. The Hong Kong Polytechnic University, Hong Kong, China) Many science and engineering applications involve solving a linear least ⁃ squares system formed from some field mea⁃ surements. In the distributed cyber ⁃ physical systems (CPS), each sensor node used for measurement often only knows partial independent rows of the least ⁃ squares system. To solve the least ⁃ squares all the measurements must be gath⁃ ered at a centralized location and then perform the computa⁃ tion. Such data collection and computation are inefficient be⁃ cause of bandwidth and time constraints and sometimes are infeasible because of data privacy concerns. Iterative meth⁃ ods are natural candidates for solving the aforementioned problem and there are many studies regarding this. However, most of the proposed solutions are related to centralized/par⁃ allel computations while only a few have the potential to be applied in distributed networks. Thus distributed computa⁃ tions are strongly preferred or demanded in many of the real world applications, e.g. smart⁃grid, target tracking, etc. This paper surveys the representative iterative methods for distrib⁃ uted least⁃squares in networks.","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44919805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-24DOI: 10.3969/J.ISSN.1673-5188.2017.01.003
Jianhua Zhang, Wang Chao, Zhongyuan Wu, Zhang Weite
Compared with conventional multiple⁃input multiple⁃output (MIMO), massive MIMO system with tens or even hundreds of anten⁃ nas is able to give better performance in capacity and spectral efficiency, which is a promising technology for 5G. Considering this, massive MIMO has become a hot research topic all over the world. In this paper, the channel measurements and models of massive MIMO in recent years are summarized. Besides, the related 256 antenna elements with 200 MHz bandwidth at 3.5 GHz proposed by our team, the verification of rationality of the measurement method, and the spatial evolution of clusters in mobile scenario are provided. massive MIMO; channel measurement; channel model; virtual measurement; cluster
{"title":"A Survey of Massive MIMO Channel Measurements and Models","authors":"Jianhua Zhang, Wang Chao, Zhongyuan Wu, Zhang Weite","doi":"10.3969/J.ISSN.1673-5188.2017.01.003","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2017.01.003","url":null,"abstract":"Compared with conventional multiple⁃input multiple⁃output (MIMO), massive MIMO system with tens or even hundreds of anten⁃ nas is able to give better performance in capacity and spectral efficiency, which is a promising technology for 5G. Considering this, massive MIMO has become a hot research topic all over the world. In this paper, the channel measurements and models of massive MIMO in recent years are summarized. Besides, the related 256 antenna elements with 200 MHz bandwidth at 3.5 GHz proposed by our team, the verification of rationality of the measurement method, and the spatial evolution of clusters in mobile scenario are provided. massive MIMO; channel measurement; channel model; virtual measurement; cluster","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43868954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-24DOI: 10.3969/J.ISSN.1673-5188.2017.01.006
Bai Tongxin, Dong Zhenjiang, Cai Manyi, Fan Xiaopeng, Xu Chengzhong, Liu Lixia
{"title":"A Survey of System Software Techniques for Emerging NVMs","authors":"Bai Tongxin, Dong Zhenjiang, Cai Manyi, Fan Xiaopeng, Xu Chengzhong, Liu Lixia","doi":"10.3969/J.ISSN.1673-5188.2017.01.006","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2017.01.006","url":null,"abstract":"","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70188588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-24DOI: 10.3969/J.ISSN.1673-5188.2017.02.003
Li Bing, Yunyong Zhang, Xu Lei
The demand for 5G services and applications is driving the change of network architecture. The mobile edge computing (MEC) technology combines the mobile network technology with cloud computing and virtualization, and is one of the key technologies for 5G networks. Compared to network function virtualization (NFV), another critical enabler of 5G networks, MEC reduces laten⁃ cy and enhances the offered capacity. In this paper, we discuss the combination of the two technologies and propose a new archi⁃ tecture. Moreover, we list the application scenarios using the proposed architecture. MEC; 5G; NFV; cloud computing; network architecture evolution
{"title":"An MEC and NFV Integrated Network Architecture","authors":"Li Bing, Yunyong Zhang, Xu Lei","doi":"10.3969/J.ISSN.1673-5188.2017.02.003","DOIUrl":"https://doi.org/10.3969/J.ISSN.1673-5188.2017.02.003","url":null,"abstract":"The demand for 5G services and applications is driving the change of network architecture. The mobile edge computing (MEC) technology combines the mobile network technology with cloud computing and virtualization, and is one of the key technologies for 5G networks. Compared to network function virtualization (NFV), another critical enabler of 5G networks, MEC reduces laten⁃ cy and enhances the offered capacity. In this paper, we discuss the combination of the two technologies and propose a new archi⁃ tecture. Moreover, we list the application scenarios using the proposed architecture. MEC; 5G; NFV; cloud computing; network architecture evolution","PeriodicalId":61991,"journal":{"name":"ZTE Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46498005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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