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ZhuJinkang
104Publications
8H-index
259Citations
Publications 104
Newest
Published on May 1, 2019 in ICC (International Conference on Communications)
Xudong Fang , Ming Zhao8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
+ 2 AuthorsZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
Published on May 1, 2019 in ICC (International Conference on Communications)
Chen Gong12
Estimated H-index: 12
(USTC: University of Science and Technology of China),
Kaihe Deng + 2 AuthorsZhengyuan Xu29
Estimated H-index: 29
(USTC: University of Science and Technology of China)
Published on Dec 1, 2018in China Communications 1.88
ZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China),
Chen Gong (USTC: University of Science and Technology of China)+ 2 AuthorsWuyang Zhou11
Estimated H-index: 11
(USTC: University of Science and Technology of China)
Facing the development of future 5G, the emerging technologies such as Internet of things, big data, cloud computing, and artificial intelligence is enhancing an explosive growth in data traffic. Radical changes in communication theory and implement technologies, the wireless communications and wireless networks have entered a new era. Among them, wireless big data (WBD) has tremendous value, and artificial intelligence (AI) gives unthinkable possibilities. However, in the big data development a...
Wen Wang (USTC: University of Science and Technology of China), ZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
+ 1 AuthorsWuyang Zhou11
Estimated H-index: 11
(USTC: University of Science and Technology of China)
Published on Jan 1, 2018in IEEE Access 4.10
ZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China),
Ming Zhao8
Estimated H-index: 8
(USTC: University of Science and Technology of China),
Shengli Zhou52
Estimated H-index: 52
(UConn: University of Connecticut)
The ultra-dense network (UDN) has been identified as an appealing solution to address the huge service demands in future 5G and beyond. In this paper, we propose an optimization design of UDN balancing user mobility and network densification, where the massive users are divided into different groups according to their moving speeds, and different groups are served by different subnets. This way, the UDN can adjust subnet parameters to meet the service demands using minimum resource. Specifically...
Published on Dec 1, 2017 in GLOBECOM (Global Communications Conference)
Chen Gong12
Estimated H-index: 12
(USTC: University of Science and Technology of China),
Zhengyuan Xu29
Estimated H-index: 29
(USTC: University of Science and Technology of China),
Jinkang Zhu (USTC: University of Science and Technology of China)
A question that hinges on the wireless communication is the application of big data technology to wireless communication in the physical layer or media access layer. We address the matching-based communication system optimization over parallel channels in wide optical spectrum. It is found that the dimension can be reduced significantly under certain line-of-sight optical wireless communication scenarios. Based on the dimension reduction, we design the quantization points in the reduced dimensio...
Published on Oct 1, 2017
Wen Wang (USTC: University of Science and Technology of China), ZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
+ 1 AuthorsWuyang Zhou11
Estimated H-index: 11
(USTC: University of Science and Technology of China)
In this paper, we study the tradeoff of efficiency and delay of Slepian-Wolf distributed source coding (DSC). In the considered network, Machine-Type Communications (MTC) devices transmit correlated data to one base station, the data sources follow a multi-variate Gaussian distribution. To reduce the consumption of communication resources by massive MTC devices, Slepian-Wolf coding is adopted to eliminate the redundancy in uplink transmission. Each device encodes separately and the base station ...
Published on Oct 1, 2017in Science in China Series F: Information Sciences 2.73
Yanhuan Sun1
Estimated H-index: 1
(USTC: University of Science and Technology of China),
Ming Zhao8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
+ 3 AuthorsShengli Zhou52
Estimated H-index: 52
(UConn: University of Connecticut)
Massive amount of small data generated by machine type communications (MTC) will pose a challengeto the future fifth generation (5G) wireless network. Since the information from or to the machine type users aggregating closely are highly correlated, the relevance of data can be excavated by big data analysis to help improve the spectral efficiency. In this paper we proposed an aggregation transmission scheme (ATS) for MTC downlink transmissions in which the transmission order of users data packe...
Published on May 1, 2017 in ICC (International Conference on Communications)
Yanhuan Sun1
Estimated H-index: 1
(USTC: University of Science and Technology of China),
Sihai Zhang8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
+ 2 AuthorsZhen Wang1
Estimated H-index: 1
(China Telecom)
Future fifth generation (5G) wireless networks will be challenged by the huge amount of mobile data traffic, especially from enormous Machine Type Communication(MTC) devices, so in this paper we proposed Aggregation Coding Multiple Access(ACMA) for MTC downlink transmissions, which exploits the inherent correlation among aggregated users in spatial domain to improve the spectrum efficiency. By assuming the data traffic together with the delay requirements of MTC devices can be perfectly predicte...
Published on Mar 1, 2017
Lijun Qian4
Estimated H-index: 4
(Texas A&M University System),
ZhuJinkang8
Estimated H-index: 8
(USTC: University of Science and Technology of China),
Sihai Zhang8
Estimated H-index: 8
(USTC: University of Science and Technology of China)
Wireless big data describes a wide range of massive data that is generated, collected and stored in wireless networks by wireless devices and users. While these data share some common properties with traditional big data, they have their own unique characteristics and provide numerous advantages for academic research and practical applications. This article reviews the recent advances and trends in the field of wireless big data. Due to space constraints, this survey is not intended to cover all...
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