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| 1 | What to Cache:Differentiated Caching Resource Allocation and Management in Information-Centric Networking显示文摘Information-centric networking(ICN) aims to improve the efficiency of content delivery and reduce the redundancy of data transmission by caching contents in network nodes. An important issue is to design caching methods with better cache hit rate and achieve allocating on-demand. Therefore, an in-network caching scheduling scheme for ICN was designed, distinguishing different kinds of contents and dynamically allocating the cache size on-demand. First discussing what was appropriated to be cached in nodes, and then a classification about the contents could be cached was proposed. Furthermore, we used AHP to weight different contents classes through analyzing users' behavior. And a distributed control process was built, to achieve differentiated caching resource allocation and management. The designed scheme not only avoids the waste of caching resource, but also further enhances the cache availability. Finally, the simulation results are illustrated to show that our method has the superior performance in the aspects of server hit rate and convergence. | Ru Huo Renchao Xie Hengyang Zhang Tao Huang Yunjie Liu | 2016 | China Communications2016，13，12： | 6 |
| 2 | Energy-Efficient Joint Content Caching and Small Base Station Activation Mechanism Design in Heterogeneous Cellular Networks显示文摘Heterogeneous cellular networks(HCNs), by introducing caching capability, has been considered as a promising technique in 5 G era, which can bring contents closer to users to reduce the transmission delay, save scarce bandwidth resource. Although many works have been done for caching in HCNs, from an energy perspective, there still exists much space to develop a more energy-efficient system when considering the fact that the majority of base stations are under-utilized in the most of the time. Therefore, in this paper, by taking the activation mechanism for the base stations into account, we study a joint caching and activation mechanism design to further improve the energy efficiency, then we formulate the optimization problem as an Integer Linear Programming problem(ILP) to maximize the system energy saving. Due to the enormous computation complexity for finding the optimal solution, we introduced a Quantum-inspired Evolutionary Algorithm(QEA) to iteratively provide the global best solution. Numerical results show that our proposed algorithm presents an excellent performance, which is far better than the strategy of only considering caching without deactivation mechanism in the actual, normal situation. We also provide performance comparison amongour QEA, random sleeping algorithm and greedy algorithm, numerical results illustrate our introduced QEA performs best in accuracy and global optimality. | Renchao Xie Zishu Li Tao Huang Yunjie Liu | 2017 | China Communications2017，14，10： | 5 |
| 3 | Energy-Efficient Joint Caching and Transcoding for HTTP Adaptive Streaming in 5G Networks with Mobile Edge Computing显示文摘With the new promising technique of mobile edge computing (MEC) emerging, by utilizing the edge computing and cloud computing capabilities to realize the HTTP adaptive video streaming transmission in MEC-based 5G networks has been widely studied. Although many works have been done, most of the existing works focus on the issues of network resource utilization or the quality of experience (QoE) promotion, while the energy efficiency is largely ignored. In this paper, different from previous works, in order to realize the energy efficiency for video transmission in MEC-enhanced 5G networks, we propose a joint caching and transcoding schedule strategy for HTTP adaptive video streaming transmission by taking the caching and transcoding into consideration. We formulate the problem of energy-efficient joint caching and transcoding as an integer programming problem to minimize the system energy consumption. Due to solving the optimization problem brings huge computation complexity, therefore, to make the optimization problem tractable, a heuristic algorithm based on simulated annealing algorithm is proposed to iteratively reach the global optimum solution with a lower complexity and higher accuracy. Finally, numerical simulation results are illustrated to demonstrated that our proposed scheme brings an excellent performance. | Renchao Xie Zishu Li Jun Wu Qingmin Jia Tao Huang | 2019 | China Communications2019，16，7： | 4 |
| 4 | A Game Theoretic Approach for Hierarchical Caching Resource Sharing in 5G Networks with Virtualization显示文摘Caching and virtualization have been considered as the promising techniques in 5G Networks. In 5G networks with virtualization, the caching resources deployed by infrastructure providers (InPs) can be abstracted into isolated slices and transparently shared by mobile virtual network operators (MVNOs). In this case, one of the most important issues is how the MVNOs to share the caching resource. To solve this issue, different from previous works, a hierarchical caching architecture that core network and radio access network (RAN) have the caching capability in 5G networks with virtualization is first considered in this paper. Then, we study the problem of hierarchical caching resource sharing for MVNOs, and a competitive game to maximize their expectation revenue based on the oligopoly market model is formulated. As it is a hard problem to find the optimal solution in the hierarchical caching resource sharing problem, we decompose the optimization problem into two independent caching resource sharing problems in RAN and core network, respectively. Then the local optimal solutions are solved and the global Nash equilibrium solution is achieved. Finally, simulation results are illustrated to demonstrate the performance of the proposed scheme. | Renchao Xie Jun Wu Rui Wang Tao Huang | 2019 | China Communications2019，16，7： | 3 |
| 5 | Intelligent Resources Management System Design in Information Centric Networking显示文摘Information centric networking(ICN) is a new network architecture that is centred on accessing content. It aims to solve some of the problems associated with IP networks, increasing content distribution capability and improving users' experience. To analyse the requests' patterns and fully utilize the universal cached contents, a novel intelligent resources management system is proposed, which enables effi cient cache resource allocation in real time, based on changing user demand patterns. The system is composed of two parts. The fi rst part is a fi ne-grain traffi c estimation algorithm called Temporal Poisson traffi c prediction(TP2) that aims at analysing the traffi c pattern(or aggregated user requests' demands) for different contents. The second part is a collaborative cache placement algorithm that is based on traffic estimated by TP2. The experimental results show that TP2 has better performance than other comparable traffi c prediction algorithms and the proposed intelligent system can increase the utilization of cache resources and improve the network capacity. | Hengyang Zhang Shixiang Zhu Renchao Xie Tao Huang Yunjie Liu | 2017 | China Communications2017，14，8： | 2 |
| 6 | Dynamic Resource Allocation for Heterogeneous Services in Cognitive Radio Networks with Imperfect Channel Sensing显示文摘 | XIE Renchao YU F R JI Hong | 2012 | IEEE Transactions on Vehicular Technology2012，61，2： | 1 |
| 7 | Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing显示文摘 | Xie Renchao Yu F R Ji Hong | 2012 | IEEE Transactions on Vehicular Technology2012，61，2： | 1 |
| 8 | Quantitative Estimation of Pipeline Slope Disaster Risk in China显示文摘China’s economic development is closely related to oil and gas resources,and the country is investing heavily in pipeline construction.Slope geological hazards seriously affect the long-term safe operation of buried pipelines,usually causing pipeline leakage,property and environmental losses,and adverse social impacts.To ensure the safety of pipelines and reduce the probability of pipeline disasters,it is necessary to predict and quantitatively evaluate slope hazards.While there has been much research focus in recent years on the evaluation of pipeline slope disasters and the stress calculation of pipelines under hazards,existing methods only provide information on the occurrence probability of slope events,not whether a slope disaster will lead to pipeline damage.Taking the 2015 Xinzhan landslide in Guizhou Province,China,as an example,this study used discrete elements to simulate landslide events and determine the risk level and scope for pipeline damage,and then established a pipe-soil coupling model to quantitatively evaluate the impact of landslide hazards for pipelines in medium-and high-risk areas.The results provide a reference for future pipeline disaster prevention and control. | Yan Yan Jiaojiao Zhou Cheng Xie Shuyao Yin Sheng Hu Renchao Wang | 2023 | International Journal of Disaster Risk Science2023，14，2： | 0 |
| 9 | Integrated Architecture for Networking and Industrial Internet Identity显示文摘Several excellent works have been done on the industrial Internet;however,some problems are still ahead,such as reliable security,heterogeneous compatibility,and system efficiency.Information-Centric Networking(ICN),an emerging paradigm for the future Internet,is expected to address the challenges of the industrial Internet to some extent.An integrated architecture for industrial network and identity resolution in the industrial Internet is proposed in this paper.A framework is also designed for the ICN-based industrial Network And Named Data Networking(NDN)based factory extranet with Software-Defined Networking(SDN).Moreover,an identity resolution architecture in the industrial Internet is proposed based on ICN paradigms with separate resolution nodes or with merging resolution and routing. | LU Hua LI Xiaolu XIE Renchao FENG Wei | 2020 | ZTE Communications2020，18，1： | 0 |
| 10 | Dynamic computation offloading in time-varying environment for ultra-dense networks:a stochastic game approach显示文摘To meet the demands of large-scale user access with computation-intensive and delay-sensitive applications,combining ultra-dense networks(UDNs)and mobile edge computing(MEC)are considered as important solutions.In the MEC enabled UDNs,one of the most important issues is computation offloading.Although a number of work have been done toward this issue,the problem of dynamic computation offloading in time-varying environment,especially the dynamic computation offloading problem for multi-user,has not been fully considered.Therefore,in order to fill this gap,the dynamic computation offloading problem in time-varying environment for multi-user is considered in this paper.By considering the dynamic changes of channel state and users’queue state,the dynamic computation offloading problem for multi-user is formulated as a stochastic game,which aims to optimize the delay and packet loss rate of users.To find the optimal solution of the formulated optimization problem,Nash Q-learning(NQLN)algorithm is proposed which can be quickly converged to a Nash equilibrium solution.Finally,extensive simulation results are presented to demonstrate the superiority of NQLN algorithm.It is shown that NQLN algorithm has better optimization performance than the benchmark schemes. | Xie Renchao Liu Xu Duan Xuefei Tang Qinqin Yu Fei Richard Huang Tao | 2021 | The Journal of China Universities of Posts and Telecommunications2021，28，2： | 0 |
| 11 | A novel identity resolution system design based on Dual-Chord algorithm for industrial Internet of Things显示文摘The industrial Internet of Things(IIoT)has attracted enormous attention from academics and industries,which is a significant component of the future transformation of industrial systems.The analysis,understanding,and application of all kinds of fragmented data in IIoT is one of the critical technologies that need to be studied in the future.The identity resolution technology is the most promising technology to achieve this goal at present.Although many identity resolution systems based on domain name system(DNS)have been proposed,there are technical problems with a single root node causing system performance bottlenecks and slow resolution rates.In this paper,we focus on a widely used distributed structured peer-to-peer(P2P)object name system(ONS)and redesign a novel identity resolution system based on a Dual-Chord algorithm for IIoT.The support vector machine(SVM)algorithm is first introduced in the system designed in this paper to implement the clustering of the P2P network.And then,the Dual-Chord algorithm is proposed,which can get better performance than the classical Chord algorithm.This system resolves the mismatch between logical and physical addresses and improves the resolution rate of the system.Finally,through PeerSim network simulation software,this paper evaluates the simulation performance of the improved identity resolution system based on the Dual-Chord algorithm.Simulation results prove that the system proposed in this paper is a more efficient identity resolution system. | Renchao XIE Zhiyuan WANG Fei Richard YU Tao HUANG Yunjie LIU | 2021 | Science China(Information Sciences)2021，64，8： | 0 |
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