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| 1 | Foundation Study on Wireless Big Data: Concept, Mining, Learning and Practices显示文摘Facing the development of future 5 G, 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 and artificial intelligence application groups, the lack of a sound theoretical foundation and mathematical methods is regarded as a real challenge that needs to be solved. From the basic problem of wireless communication, the interrelationship of demand, environment and ability, this paper intends to investigate the concept and data model of WBD, the wireless data mining, the wireless knowledge and wireless knowledge learning(WKL), and typical practices examples, to facilitate and open up more opportunities of WBD research and developments. Such research is beneficial for creating new theoretical foundation and emerging technologies of future wireless communications. | Jinkang Zhu Chen Gong Sihai Zhang Ming Zhao Wuyang Zhou | 2018 | China Communications2018，15，12： | 9 |
| 2 | Exploring the Road to 6G: ABC-Foundation for Intelligent Mobile Networks显示文摘The 5 th generation(5 G)mobile networks has been put into services across a number of markets,which aims at providing subscribers with high bit rates,low latency,high capacity,many new services and vertical applications.Therefore the research and development on 6 G have been put on the agenda.Regarding demands and characteristics of future 6 G,artificial intelligence(A),big data(B)and cloud computing(C)will play indispensable roles in achieving the highest efficiency and the largest benefits.Interestingly,the initials of these three aspects remind us the significance of vitamin ABC to human body.In this article we specifically expound on the three elements of ABC and relationships in between.We analyze the basic characteristics of wireless big data(WBD)and the corresponding technical action in A and C,which are the high dimensional feature and spatial separation,the predictive ability,and the characteristics of knowledge.Based on the abilities of WBD,a new learning approach for wireless AI called knowledge+data-driven deep learning(KD-DL)method,and a layered computing architecture of mobile network integrating cloud/edge/terminal computing,is proposed,and their achievable efficiency is discussed.These progress will be conducive to the development of future 6 G. | Jinkang Zhu Ming Zhao Sihai Zhang Wuyang Zhou | 2020 | China Communications2020，17，6： | 8 |
| 3 | Capacity-Power Consumption and Energy-Efficiency Evaluation of Green Wireless Networks显示文摘In this paper,we discuss in detail the basic issue of green design and consider an energy efficiency function as the metric to evaluate green cellular networks.Specifically,we investigate the transmit power required for an expected transmission capacity and propose a capacity-power formula based on the energy conservation and the Shannon capacity theorem.Two novel definitions of cell interference depth and handoff dynamic model are introduced and the corresponding expression of energy efficiency function is derived.Numerical results show that the energy efficiency function is closely correlated with the transmitted/received power required and the cell radius.Our work provides a useful basis for research and evaluation on green design and technology of cellular networks. | Zhu Jinkang | 2012 | China Communications2012，9，2： | 6 |
| 4 | Energy Efficiency Optimization in Relay-Assisted Networks with Energy Harvesting Relay Constraints显示文摘In this paper we consider data transmission in a decode-and-forward(DF)relay-assisted network in which the relay is energy harvesting(EH) powered while the base station(BS) is power-grid powered.Our purpose is to maximize the BS's energy efficiency(EE) while making full use of the relay's renewable energy and satisfying the specific average throughput requirements.In contrast to existing literature on energy harvesting system which only considers the radio transmission power,we take the static circuit power into account as well.We formulate the EE optimization problem and prove that the EE of the BS and relay are both quasiconvex in the instantaneous transmission rate.Then we divide the complex optimization problem into two point-to-point link level optimization parts and propose an energyefficient resource allocation(EERA) scheme in which power control and sleep mode management are jointly used.The simulation results demonstrate that EERA may achieve good energy saving effects.We also compare the EE of an energy harvesting relay system with a power-grid powered one and provide more insight into the EE problem of energy harvesting relay system. | ZHAO Ming ZHAO Jing ZHOU Wuyang ZHU Jinkang ZHANG Sihai | 2015 | China Communications2015，12，2： | 4 |
| 5 | Low complexity power control approach based on MMSE detection for V-BLAST显示文摘A low complexity Per-Antenna Power Control (PAPC) approach based on Minimum Mean Squared Error (MMSE) detection for V-BLAST is proposed in this paper. The PAPC approach is developed for minimizing the Bit Error Rate (BER) averaged over all substreams when the data throughput and the total transmit power keep constant over time. Simulation results show that the Power-controlled V-BLAST (P-BLAST) outperforms the conventional V-BLAST in terms of BER performance with MMSE detector, especially in presence of high spatial correlation between antennas. However, the additional complexity for P-BLAST is not high. When MMSE detector is adopted, the P-BLAST can achieve a comparable BER performance to that of conventional V-BLAST with Maximum Likelihood (ML) detector but with low complexity. | Zhao Kun Qiu Ling Zhu Jinkang | 2006 | Journal of Systems Engineering and Electronics2006，17，4： | 3 |
| 6 | Benefits Analysis of Beam Hopping in Satellite Mobile System with Unevenly Distributed Traffic显示文摘Satellite mobile system and space-airground integrated network have a prominent superiority in global coverage which plays a critical role in remote and non-land regions, as well as emergency communications. However, due to the gradual angle attenuations of the satellite antennas, it is difficult to achieve full frequency multiplex among different beams as terrestrial 5G network. Multi-color frequency reuse is widely adopted in both academic and industry. Beam hopping scheme has attracted the attention of researchers recently due to the allocation flexibility. In this paper, we focus on analyzing the performance benefits of beam hopping compared with multi-color frequency reuse scheme in non-uniform user and traffic distributions in satellite system. Aerial networks are also introduced to form a space-airground integrated network for coverage enhancement,and the capacity improvement is analyzed. Besides,additional improved techniques are provided to make comprehensive analysis and comparisons. Theoretical analysis and simulation results indicate that the beam hopping scheme has a prominent superiority in the system capacity compared with the traditional multicolor frequency reuse scheme in both satellite mobile system and future space-air-ground integrated network. | Yitao Li Zhongqiang Luo Wuyang Zhou Jinkang Zhu | 2021 | China Communications2021，18，9： | 2 |
| 7 | Parallel Combinatory SS Communication 显示文摘 | Zhu Jinkang Marubayashi G | 1990 | IEICE Technical Report of Japan1990，90，23： | 1 |
| 8 | Properties and application of parallel combinatory SS communication system 显示文摘 | ZHU Jinkang | 1992 | IEEE Second International Symposium on Spread Spectrum Techniques and Applications1992，12，1： | 1 |
| 9 | Block adaptive subbcarrier allocation for wireless multiuser OFDM system显示文摘 | Xiaowen Liang and Jinkang Zhu | 2004 | ournal of electronics(china)2004，21，11： | 1 |
| 10 | A new 5G radio evolution towards 5G-Advanced显示文摘The evolution of the fifth-generation(5G)new radio(NR)has progressed swiftly since the third generation partnership project(3GPP)standardized the first NR version(Release 15)in mid-2018.Nowadays,the world’s leading carriers are competing to provide various commercial services over 5G networks.Looking ahead to 2025 and beyond,it is expected that over 6.5 million 5G base stations will be installed to offer services to over 58%of the world’s population via over 100 billion 5G connections.Following the rapid development of 5G,an increasing number of commercialization use cases will drive the 5G network to continuously improve performance and expand capabilities.Hence,it is the right time to consider a welldefined framework and standardization for 5G NR evolution(5G-Advanced)to support commercialization between 2025 and 2030.First,this study addresses the key driving forces,requirements,usage scenarios,and capabilities of 5G-Advanced;then,it highlights the main technological challenges and introduces the top 10 promising technological directions in detail.Finally,other fascinating technological directions in5G-Advanced are shortly mentioned. | Jiyong PANG Shaobo WANG Zhenfei TANG Yanmin QIN Xiaofeng TAO Xiaohu YOU Jinkang ZHU | 2022 | Science China(Information Sciences)2022，65，9： | 1 |
| 11 | An adaptive subcarrier allocation algorithm for multiuser OFDM system显示文摘 | Liang Xiaowen Zhu Jinkang | 2003 | IEEE Vehicular Technology Conference2003，3，： | 1 |
| 12 | Survey of wireless big data显示文摘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 aspects in this field,but to focus on the data aided transmission,data driven network optimization and novel applications.It is expected that the survey will help the readers to understand this exciting and emerging research field better.Moreover,open issues and promising future directions are also identified. | Lijun Qian Jinkang Zhu Sihai Zhang | 2017 | Journal of Communications and Information Networks2017，2，1： | 1 |
| 13 | Properties and application of parallel combinatory SS communication system 显示文摘 | ZHU Jinkang MARUBAYASHI G | 1992 | IEEE Second Intematioml Symposium on spread Spectrum Techniques and Applications1992，，4： | 1 |
| 14 | Energy-efficient Resource Allocation for OFD- MA Networks with Sleep Mode显示文摘 | REN Haibao ZHAO Ming ZHU Jinkang | 2013 | Electronics Letters2013，49，2： | 1 |
| 15 | A novel SNR estimation algorithm for OFDM显示文摘 | Huilin Xu Guo Wei Jinkang Zhu | | 0，，： | 1 |
| 16 | Parallel combinatory spread spectrum communication显示文摘 | Zhu Jinkang | 1990 | IEICE Technical Report of Japan1990，9023，： | 1 |
| 17 | Linear time encoding of cycleGF(2p)codes through graph analysis显示文摘 | Huang Jie Zhu Jinkang | 2006 | IEEE Com-mun Lett2006，10，5： | 1 |
| 18 | Wireless Mesh Technology and Network显示文摘Wireless Mesh Network (WMN) has been actively researched and developed as a new network technology to support broadband high- speed multimedia services . This paper discusses WMN technology and applications , and introduces the basic technologies , typical applications and current development of the WMN. With the future development of wireless distribution technology and network, wireless Mesh technology and network will become the key networking technology and architecture of wireless mobile communications , and will be widely used in various wireless networks with more important roles . | Zhu Jinkang (University of Science and Technology of China , Hefei 230027, China ) | 2008 | ZTE Communications2008，6，2： | 1 |
| 19 | Group-theoretic analysis of cayley-graph-based cycle GF(2p)codes显示文摘 | Huang Jie Zhou Shengli Zhu Jinkang | 2009 | IEEE Trans on Commun2009，57，6： | 1 |
| 20 | LINEAR-DISPERSION DIVISION MULTIPLE-ACCESS FOR MIMO SYSTEMS显示文摘Comprehensive study on novel Linear-Dispersion Division Multiple-Access(LDDMA) for multi-user uplink Multiple-Input Multiple-Output(MIMO)systems is proposed.In the new multi-plexing scheme,each user’s information symbol is dispersed by a User-Specific Matrix(USM)both inspace and time domain and linearly combined at base-station side.And a simple random search al-gorithm,based on capacity maximization criteria,is developed to generate a bank of USMs.Simulationresults are presented to demonstrate the advantages of LDDMA.When the Bit Error Rate(BER)reaches 10–3,the performance gains are 3dB and 5dB,compared with Time-Division Linear DispersionCodes(TD-LDC)and BLAST,respectively. | Deng Dan Lv Xingzai Zhu Jinkang | 2008 | Journal of Electronics(China)2008，25，4： | 1 |
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