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| 1 | Satellite Constellation Design with Multi-Objective Genetic Algorithm for Regional Terrestrial Satellite Network显示文摘Constellations design for regional terrestrial-satellite network can strengthen the coverage for incomplete terrestrial cellular network. In this paper, a regional satellite constellation design scheme with multiple feature points and multiple optimization indicators is proposed by comprehensively considering multi-objective optimization and genetic algorithm, and 'the Belt and Road' model is presented in the way of dividing over 70 nations into three regular target areas. Following this, we formulate the optimization model and devise a multi-objective genetic algorithm suited for the regional area with the coverage rate under simulating, computing and determining. Meanwhile, the total number of satellites in the constellation is reduced by calculating the ratio of actual coverage of a single-orbit constellation and the area of targets. Moreover, the constellations' performances of the proposed scheme are investigated with the connection of C++ and Satellite Tool Kit(STK). Simulation results show that the designed satellite constellations can achieve a good coverage of the target areas. | Cuiqin Dai Guimin Zheng Qianbin Chen | 2018 | China Communications2018，15，8： | 10 |
| 2 | Optimal Power Allocation for Multiuser OFDM-Based Cognitive Heterogeneous Networks显示文摘Heterogeneous network(HetNet) as a promising technology to improve spectrum efficiency and system capacity has been concerned by many scholars, which brings huge challenges for power allocation and interference management in multicell network structures. Although some works have been done for power allocation in heterogeneous femtocell networks, most of them focus centralized schemes for single-cell network under interference constraint of macrocell user. In this paper, a sum-rate maximization based power allocation algorithm is proposed for a downlink cognitive Het Net with one macrocell network and multiple microcell networks. The original power allocation optimization problem with the consideration of cross-tier interference constraint, maximum transmit power constraint of microcell base station and inter-cell interference of microcell networks is converted into a geometric programming problem which can be solved by Lagrange dual method in a distributed way. Simulation results demonstrate the performance and effectiveness of the proposed algorithm by comparing with the equal power allocation scheme. | Yongjun Xu Yuan Hu Qianbin Chen Shun Zhang | 2017 | China Communications2017，14，9： | 6 |
| 3 | Utility-based bandwidth allocation algorithm for heterogeneous wireless networks显示文摘In next generation wireless network (NGWN), mobile users are capable of connecting to the core network through various heterogeneous wireless access networks, such as cellular network, wireless metropolitan area network (WMAN), wireless local area network (WLAN), and ad hoc network. NGWN is expected to provide high-bandwidth connectivity with guaranteed quality-of-service to mobile users in a seamless manner; however, this desired function demands seamless coordination of the heterogeneous radio access network (RAN) technologies. In recent years, some researches have been conducted to design radio resource management (RRM) architectures and algorithms for NGWN; however, few studies stress the problem of joint network performance optimization, which is an essential goal for a cooperative service providing scenario. Furthermore, while some authors consider the competition among the service providers, the QoS requirements of users and the resource competition within access networks are not fully considered. In this paper, we present an interworking integrated network architecture, which is responsible for monitoring the status information of different radio access technologies (RATs) and executing the resource allocation algorithm. Within this architecture, the problem of joint bandwidth allocation for heterogeneous integrated networks is formulated based on utility function theory and bankruptcy game theory. The proposed bandwidth allocation scheme comprises two successive stages, i.e., service bandwidth allocation and user bandwidth allocation. At the service bandwidth allocation stage, the optimal amount of bandwidth for different types of services in each network is allocated based on the criterion of joint utility maximization. At the user bandwidth allocation stage, the service bandwidth in each network is optimally allocated among users in the network according to bankruptcy game theory. Numerical results demonstrate the efficiency of the proposed algorithm. | CHAI Rong WANG XiuJuan CHEN QianBin SVENSSON Tommy | 2013 | Science China(Information Sciences)2013，56，2： | 4 |
| 4 | OsbZIP76 interacts with OsNF-YBs and regulates endosperm cellularization in rice (Oryza sativa)显示文摘Following double fertilization,plant endosperm nuclei undergo syncytial divisions,followed by synchro-nous cellularization.Cellularization is a key event during endosperm development,but our understanding of its regulation is limited to Arabidopsis.In this study we show that OsbZIP76 regulates cellularization in rice(Oryza sativa).Activation of OsbZIP76 coincided with the initiation of cellularization,and its knockdown or knockout mutants exhibited precocious cellularization.Genes involved in en-dosperm development or starch biosynthesis were pre-maturely activated in the osbzip76 caryopsis.As a putative transcription factor,OsbZIP76 alone lacked transcriptional activation activity;however,it interacted with the nuclear factor Y(NF-Y)family transcription factors OsNF-YB9 and OsNF-YB1 in yeast and in planta.OsbZIP76 and OsNF-YB9 were predominantly expressed in the endosperm and the proteins colocalized.Seeds of osnf-yb1 and osbzip76 mu-tants showed reduced size and reduced apparent amylose content.The parent-of-origin-dependent expression of OsbZIP76 is variable in different rice accessions.In sum-mary,OsbZIP76 is an endosperm-expressed imprinted gene that regulates endosperm development in rice. | Baixiao Niu Hui Deng Tingting Li Sandeep Sharma Qianbin Yun Qianru Li Zhiguo E Chen Chen | 2020 | Journal of Integrative Plant Biology2020，62，12： | 4 |
| 5 | Hybrid inter-cell interference management for ultra-dense heterogeneous network in 5G显示文摘The Ultra-dense Heterogeneous Network(Het Net), which consists of macro-cells and pico-cells, has been recognized as a key technique to improve network performance. However, the increasing number of pico-cells also causes severe interference including inter-cell interference and intra-cell interference. Therefore, interference management has become an important issue in ultra-dense Het Nets, and the traditional enhanced inter-cell interference coordination(e ICIC) scheme is no longer fit for the high density of small cells. In this paper, a hybrid interference management method based on dynamic e ICIC and coordinated multi-point transmission(Co MP) is proposed. Firstly, a virtual cell is established based on the characteristics of ultra dense Het Nets.Then, a novel joint dynamic e ICIC scheme combined with multi-user beamforming is deployed to eliminate the inter-cell interference, and improve the throughput of virtual cell significantly without sharp decrease of throughput of macro-cell. Furthermore, a virtual cell based joint transmission scheme is deployed with a power control algorithm, which can obviously increase the spectrum efficiency of virtual cell edge. Simulation results verify that the proposed scheme can achieve better spectrum efficiency both at macro-cell and virtual cell edges,and the network throughput is also improved. | Chen HUANG Qianbin CHEN Lun TANG | 2016 | Science China(Information Sciences)2016，59，8： | 2 |
| 6 | DFT based channel estimation methods for OFDM 显示文摘 | ZHANG Wei CHEN Qianbin ZHANG Tianqi | 2007 | Journal of Chongqing University of Posts and Telecommuni- cations : Natural Science Edition2007，19，4： | 1 |
| 7 | Modelling and simulation of Rayleigh fading,path loss,and shadowing fading for wireless mobile networks显示文摘 | Zhi Ren Guangyu Wang Qianbin Chen | 2011 | Simulation Modelling Practice and Theory2011，，19： | 1 |
| 8 | Modelling and simulation of Rayleigh fading, path loss, and shadowing fading for wireless mobile networks显示文摘 | Ren Zhi Wang Guangyu Chen Qianbin | 2011 | Simulation Modelling Practice and Theory2011，19，2： | 1 |
| 9 | Energy consumption optimization-based joint route selection and flow allocation algorithm for software-defined networking显示文摘Software-defined networking(SDN) is expected to dramatically simplify network control processes,enable the convenient deployment of sophisticated networking functions, and support user applications with guaranteed quality of service(Qo S). To achieve data packet transmission between two non-adjacent switches in SDN, an efficient route selection algorithm should be designed. In this paper, we consider the data transmission of multiple user flows over SDN. Under the assumption that flow splits at intermediate switches are allowed,we jointly study the route selection and flow allocation problem. To stress the problem of resource competition among various user flows, we apply network virtualization technology and propose a virtual network architecture based on the design of an optimal joint route selection and flow allocation algorithm. Jointly considering the transmission performance of multiple user flows and stressing the importance of energy consumption at transmission links and switches, we formulate the total energy consumption of user flows and design an optimization problem that minimizes the energy consumption, subject to data transmission and service requirement constraints of the flows. Because the formulated optimization problem is an NP-complete problem that cannot be conveniently solved, we transform it into a minimum-cost commodity flow problem and solve the problem by using an N-algorithm. Numerical results demonstrate the effectiveness of the proposed algorithm. | Rong CHAI Haipeng LI Feiying MENG Qianbin CHEN | 2017 | Science China(Information Sciences)2017，60，4： | 1 |
| 10 | Optimized beaconing rate control for vehicular Ad-hoc networks显示文摘In vehicular Ad-hoc networks(VANETs), beacon message is designed for the purpose of periodically broadcasting the status information(velocity, direction, etc.), which enable neighbor awareness and support some safety applications. However, under high density scenarios, fixed rate beaconing can cause severe congestion and lower the deliver rate of beacons and other kinds of messages. In this paper, we describe beaconing rate control approach with an one-dimensional Markov model, and based on this, an optimized beacon rate control scheme is proposed which aims to mitigate the congestion and maximize the deliver efficiency of beaconing. Analytical and simulation results show that our proposed scheme can achieve higher adaptability and beaconing efficiency compared with other schemes in various environments. | Tang Lun Liu Yifu Chen Qianbin | 2015 | The Journal of China Universities of Posts and Telecommunications2015，22，6： | 1 |
| 11 | Energy Efficient Constrained Shortest Path First-Based Joint Resource Allocation and Route Selection for Multi-Hop CRNs显示文摘Cognitive radio networks(CRNs) are expected to improve spectrum utilization efficiently by allowing secondary users(SUs) to opportunistically access the licensed spectrum of primary users(PUs).In CRNs,source and destination SUs may achieve information interaction in an ad hoc manner.In the case that no direct transmission link between the SU transmission pairs is available,multi-hop relay SUs can be applied to forward information for the source and destination SUs,resulting in multi-hop CRNs.In this paper,we consider a multi-hop CRN consisting of multiple PUs,SU transmission pairs and relay SUs.Stressing the importance of transmission hops and the tradeoff between data rate and power consumption,we propose an energy efficient constrained shortest path first(CSPF)-based joint resource allocation and route selection algorithm,which consists of two sub-algorithms,i.e.,CSPF-based route selection sub-algorithm and energy efficient resource allocation sub-algorithm.More specifically,we first apply CSPF-based route selection sub-algorithm to obtain the shortest candidate routes(SCRs) between the SU pair under the transmission constraints.Then,an energy efficient resource allocation problem of the SCRs is formulated and solved by applying iterative algorithm and Lagrange dual method.Simu-lation results demonstrate the effectiveness of the proposed algorithm. | Qianbin Chen Ling Wang Yuanpeng Gao Rong Chai Xiaoge Huang | 2017 | China Communications2017，14，12： | 1 |
| 12 | Joint Optimization of Energy Consumption and Network Latency in Blockchain-Enabled Fog Computing Networks显示文摘Fog computing is considered as a solution to accommodate the emergence of booming requirements from a large variety of resource-limited Internet of Things(IoT)devices.To ensure the security of private data,in this paper,we introduce a blockchain-enabled three-layer device-fog-cloud heterogeneous network.A reputation model is proposed to update the credibility of the fog nodes(FN),which is used to select blockchain nodes(BN)from FNs to participate in the consensus process.According to the Rivest-Shamir-Adleman(RSA)encryption algorithm applied to the blockchain system,FNs could verify the identity of the node through its public key to avoid malicious attacks.Additionally,to reduce the computation complexity of the consensus algorithms and the network overhead,we propose a dynamic offloading and resource allocation(DORA)algorithm and a reputation-based democratic byzantine fault tolerant(R-DBFT)algorithm to optimize the offloading decisions and decrease the number of BNs in the consensus algorithm while ensuring the network security.Simulation results demonstrate that the proposed algorithm could efficiently reduce the network overhead,and obtain a considerable performance improvement compared to the related algorithms in the previous literature. | Huang Xiaoge Yin Hongbo Cao Bin Wang Yongsheng Chen Qianbin Zhang Jie | 2024 | China Communications2024，21，4： | 0 |
| 13 | Actor-Critic-Based UAV-Assisted Data Collection in the Wireless Sensor Network显示文摘Wireless Sensor Network(WSN)is widely utilized in large-scale distributed unmanned detection scenarios due to its low cost and flexible installation.However,WSN data collection encounters challenges in scenarios lacking communication infrastructure.Unmanned aerial vehicle(UAV)offers a novel solution for WSN data collection,leveraging their high mobility.In this paper,we present an efficient UAV-assisted data collection algorithm aimed at minimizing the overall power consumption of the WSN.Firstly,a two-layer UAV-assisted data collection model is introduced,including the ground and aerial layers.The ground layer senses the environmental data by the cluster members(CMs),and the CMs transmit the data to the cluster heads(CHs),which forward the collected data to the UAVs.The aerial network layer consists of multiple UAVs that collect,store,and forward data from the CHs to the data center for analysis.Secondly,an improved clustering algorithm based on K-Means++is proposed to optimize the number and locations of CHs.Moreover,an Actor-Critic based algorithm is introduced to optimize the UAV deployment and the association with CHs.Finally,simulation results verify the effectiveness of the proposed algorithms. | Huang Xiaoge Wang Lingzhi He Yong Chen Qianbin | 2024 | China Communications2024，21，4： | 0 |
| 14 | Precoder and combiner design for dynamically sub-connected hybrid architecture with low-resolution DACs/ADCs in mm Wave massive MIMO systems显示文摘Dear editor,The integration of mm Wave and massive multiple-input multiple-output(m MIMO)becomes inevitable in future 5 G wireless communication systems[1],in which the system throughput can be improved by several orders of magnitude owing to high spectrum utilization and large bandwidth[2]. | Xiaorong JING Lianghong LI Hongqing LIU Qianbin CHEN | 2022 | Science China(Information Sciences)2022，65，1： | 0 |
| 15 | STATISTICAL APPROXIMATION BASED FINE FREQUENCY SYNCHRONIZATION FOR OFDM SYSTEMS显示文摘The paper proposes a novel approach for fine frequency synchronization of OFDM syn- chronization systems in multi-path channels. Maximum Likelihood (ML) function of frequency offsets including integral and decimal parts in frequency domain is developed according to the law of great number to eliminate the noise impact of the signal. When the timing delay close to the actual time, the proposed function produces a deep valley indicating frequency offset when large Valley-Square- Error (VSE) appears. Coarse timing offset can also be detected when function’s Valley-Square-Error (VSE) is maximized. Simulation results shows that the proposed algorithm gives very robust estimation of frequency offset, and a coarse timing offset estimation. | Lu Cewu Liu Xiaojun Kuang Yujun Fang Guangyou Chen Qianbin | 2007 | Journal of Electronics(China)2007，24，6： | 0 |
| 16 | Low-complexity soft-output signal detector based on adaptive pre-conditioned gradient descent method for uplink multiuser massive MIMO systems显示文摘In multiuser massive Multiple Input Multiple Output(MIMO)systems,a large amount of antennas are deployed at the Base Station(BS).In this case,the Minimum Mean Square Error(MMSE)detector with soft-output can achieve the near-optimal performance at the cost of a large-scale matrix inversion operation.The optimization algorithms such as Gradient Descent(GD)method have received a lot of attention to realize the MMSE detection efficiently without a large scale matrix inversion operation.However,they converge slowly when the condition number of the MMSE filtering matrix(the coefficient matrix)increases,which can compromise the efficiency of their implementation.Moreover,their soft information computation also involves a large-scale matrix-matrix multiplication operation.In this paper,a low-complexity soft-output signal detector based on Adaptive Pre-conditioned Gradient Descent(APGD-SOD)method is proposed to realize the MMSE detection with soft-output for uplink multiuser massive MIMO systems.In the proposed detector,an Adaptive Pre-conditioner(AP)matrix obtained through the Quasi-Newton Symmetric Rank One(QN-SR1)update in each iteration is used to accelerate the convergence of the GD method.The QN-SR1 update supports the intuitive notion that for the quadractic problem one should strive to make the pre-conditioner matrix close to the inverse of the coefficient matrix,since then the condition number would be close to unity and the convergence would be rapid.By expanding the signal model of the massive MIMO system and exploiting the channel hardening property of massive MIMO systems,the computational complexity of the soft information is simplified.The proposed AP matrix is applied to the GD method as a showcase.However,it also can be used by Conjugate Gradient(CG)method due to its generality.It is demonstrated that the proposed detector is robust and its convergence rate is superlinear.Simulation results show that the proposed detector converges at most four iterations.Simulation results also show that the proposed approach achieves a better trade-off between the complexity and the performance than several existing detectors and achieves a near-optimal performance of the MMSE detector with soft-output at four iterations without a complicated large scale matrix inversion operation,which entails a big challenge for the efficient implementation. | Souleymane Berthe Xiaorong Jing Hongqing Liu Qianbin Chen | 2023 | Digital Communications and Networks2023，9，2： | 0 |
| 17 | Federated learning based QoS-aware caching decisions in fog-enabled internet of things networks显示文摘Quality of Service(QoS)in the 6G application scenario is an important issue with the premise of the massive data transmission.Edge caching based on the fog computing network is considered as a potential solution to effectively reduce the content fetch delay for latency-sensitive services of Internet of Things(IoT)devices.Considering the time-varying scenario,the machine learning techniques could further reduce the content fetch delay by optimizing the caching decisions.In this paper,to minimize the content fetch delay and ensure the QoS of the network,a Device-to-Device(D2D)assisted fog computing network architecture is introduced,which supports federated learning and QoS-aware caching decisions based on time-varying user preferences.To release the network congestion and the risk of the user privacy leakage,federated learning,is enabled in the D2D-assisted fog computing network.Specifically,it has been observed that federated learning yields suboptimal results according to the Non-Independent Identical Distribution(Non-IID)of local users data.To address this issue,a distributed cluster-based user preference estimation algorithm is proposed to optimize the content caching placement,improve the cache hit rate,the content fetch delay and the convergence rate,which can effectively mitigate the impact of the Non-IID data set by clustering.The simulation results show that the proposed algorithm provides a considerable performance improvement with better learning results compared with the existing algorithms. | Xiaoge Huang Zhi Chen Qianbin Chen Jie Zhang | 2023 | Digital Communications and Networks2023，9，2： | 0 |
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