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Coverage analysis of cache-enabled small cell networks with stochastic geometry methods

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The Journal of China Universities of Posts and Telecommunications 2016年第6期23卷 41-46页

作者： Zhang Qi teng yinglei Liu Mengting Song Mei School of Electronic Engineering Beijing University of Posts and Telecommunications

Caching popular content in the storage of small cells is deemed as an efficient way to decrease latency, offload backhaul and satisfy user＇s demands. In order to investigate the performance of cache-enabled small cell networks, coverage probability is studied in both single-point transmission and cooperative multipoint（Co MP） transmission scenarios. Meanwhile, the caching distribution modeled as Zipf and uniform distribution are both considered. Assuming that small base stations（SBSs） are distributed as a homogeneous Poisson point process（HPPP）, the closed-form expressions of coverage probability are derived in different transmission cases. Simulation results show that Co MP transmission achieves a higher coverage probability than that of single-point transmission. Furthermore, Zipf distribution-based caching is more preferable than uniform distribution-based caching in terms of coverage probability.

关键词： caching coverage probability single-point transmission Co MP transmission stochastic geometry

Joint multi-QoS and energy saving routing for LEO satellite network

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The Journal of China Universities of Posts and Telecommunications 2019年第3期26卷 25-34页

作者： Gao Yang Zhang Yong Li Kun teng yinglei Wang Jinxiong School of Telecommunication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China China Academy of Railway Sciences Corporation Limited Standards and Metrology Research Institute Beijing 100876 China Department of Information and Communication Technology State Grid Corporation of China Beijing 100031 China

Low earth orbit(LEO) satellite network provides global coverage and supports a wide range of services. However, due to the rapid changes and energy-limitation of satellites, how to meet the demand of the quality of service(QoS) from ground traffic and prolong the lifetime of LEO satellite network is the research emphasis of the investigator. Hence, a routing algorithm which takes into account the multi-QoS requirements and satellite energy consumption(QER) of LEO satellite network is proposed. Firstly, the satellite intimacy degree(SID) and the path health degree(PHD) are introduced to obtain the path evaluation function according to the energy consumption and queue state of the satellite. Then, the distributed routing QER is established through the path evaluation function and the idea of genetic algorithm(GA), which enables each satellite to adjust traffic and realizes the network load balancing. Simulation results show that QER performs well in terms of end-to-end delay, delay jitter, and system throughput.

关键词： LEO satellite network routing multi-QoS energy

Adaptive transfer learning framework for dense prediction of human activity recognition

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The Journal of China Universities of Posts and Telecommunications 2019年第5期26卷 1-10,21页

作者： Zhang Zhao Zhang Yong teng yinglei Guo Da Deng Haiqin School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Aldong Super AI(Beijing)Company Limited Beijing 100007China

Human activity recognition(HAR)for dense prediction is proven to be of good performance,but it relies on labeling every point in time series with the high *** addition,the performance of HAR model will show significant degradation when tested on the sensor data with different distribution from the training data,where the training data and the test data are usually collected from different sensor locations or sensor ***,the adaptive transfer learning framework for dense prediction of HAR is introduced to implement cross-domain transfer,where the proposed multi-level unsupervised domain adaptation(MLUDA)approach combines the global domain adaptation and the specific task adaptation to adapt the source and target domain in multiple *** multi-connected global domain adaptation architecture is proposed for the first time,which can adapt the output layer of the encoder and the decoder in dense prediction *** this,the specific task adaptation is proposed to ensure alignment of each class centroid in source domain and target domain by introducing the cosine distance loss and the moving average *** on three public HAR datasets demonstrate that the proposed MLUDA improves the prediction accuracy of target data by 20%compared to the source domain pre-trained model and it is more effective than the other three deep transfer learning methods with an improvement of 10%to 18%in accuracy.

关键词： transfer learning human activity recognition dense prediction global domain adaptation specific task adaptation

The adaptive distributed learning based on homomorphic encryption and blockchain

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High Technology Letters 2022年第4期28卷 337-344页

作者： YANG Ruizhe ZHAO Xuehui ZHANG Yanhua SI Pengbo teng yinglei Faculty of Information Technology Beijing University of TechnologyBeijing 100124P.R.China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876P.R.China

The privacy and security of data are recently research hotspots and *** this issue,an adaptive scheme of distributed learning based on homomorphic encryption and blockchain is ***,in the form of homomorphic encryption,the computing party iteratively aggregates the learning models from distributed participants,so that the privacy of both the data and model is ***,the aggregations are recorded and verified by blockchain,which prevents attacks from malicious nodes and guarantees the reliability of *** these sophisticated privacy and security technologies,the computation cost and energy consumption in both the encrypted learning and consensus reaching are analyzed,based on which a joint optimization of computation resources allocation and adaptive aggregation to minimize loss function is established with the realistic solution ***,the simulations and analysis evaluate the performance of the proposed scheme.

关键词： blockchain distributed machine learning(DML) privacy security

QoE-Oriented Resource Allocation for Multiuser-Multiservice Femtocell Networks

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China Communications 2015年第10期12卷 27-41页

作者： YUAN Deyu SONG Mei teng yinglei MA Ding WANG Xiaojun LU Guofeng People's Public Security University of China Beijing Key Laboratory of Work Safety Intelligent Monitoring School of Electronic EngineeringBeijing University of Posts and Telecommunications The Rince Institute School of Electronic EngineeringDublin City University

The pursuit of high data rate and assurance of quality of experience(QoE) for end users represent the main goals of future wireless communication *** introducing MOS(Mean Opinion Score) based assessment models for different types of applications,this paper proposed novel QoE-oriented radio resource allocation(RRA) algorithms for multiuser-multiservice femtocell *** optimal QoE-oriented RRA strategy is first analyzed using time-sharing method which is applicable to best effort *** algorithms based on the cross-layer architecture are then proposed for all types of applications by considering parameters extracted from different layers of networking *** the proposed algorithms,a priority mechanism is employed to ensure *** results show that the proposed algorithms can significantly improve the overall perceived quality from the users' perspective in comparison with traditional Quality of Service(QoS)oriented algorithms.

关键词： Qo E resource allocation femtocell network MOS

Broadband ＆ Digital Content-Couple Subscriber Cooperative Relaying Networks for Uplink Transmission using Hierarchical Game Approach

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China Communications 2010年第2期7卷 16-31页

作者： Song Meil teng yinglei Niu Fang Zhang Yong Wang Li Beijing University of Posts and Telecommunications Beijing 100876 P.R. China

Cooperation allows wireless network users to benefit from various gains such as an in- crease in the achieved rate or an improvement in the bit error rate. In the paper, we propose a distributed Hierarchical Game （HG） theoretic framework over multi-user cooperative communication networks to stimulate cooperation and improve the network performance. First, we study a two- user decision making game in the OFDMA based subscriber cooperative relaying network, in which subscribers transmit their own data in the first phase, while helping to retransmit their partner＇s or choosing to freeride in the second phase. Instead of consulting to a global optimal solution, we decouple the cooperation resource allocation into two level subproblems： a user level Nash game for distributed cooperation decision and a Base Station （BS） level coalition game for centralized resource allocation. In the proposed HG algorithm, where mutual cooperation is preferred and total payoff is transferable, we prove it converges to a unique optimal equilibrium and resolve the subcarrier as-signment and power allocation among the couples. Besides, we discuss the existence of the publishing and rewarding coefficients in order to encourage cooperation. Then, we extend the HG to multi-user cases by coupling among subscribers according to the location information. The simulation results show that the proposed scheme with the distributed HG game achieves a well tradeoff between fairness and efficiency by improving the transmission efficiency of adverse users and outperforms those employing centralized schemes.

关键词： cooperative relay hierachical game infrastructure relay subscriber relay Nash Equilibrium

Energy Saving Cooperative Communication over Fading Channels with Relay Selection and Power Control

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China Communications 2012年第6期9卷 124-134页

作者： Wei Yifei teng yinglei Wang Li Song Mei Man Yi Beijing Key Laboratory of Work Safety Intelligent Monitoring School of Electronic EngineeringBeijing Universityof Posts and TelecommunicationsBeijing 100876P.R.China

In order to save energy and make more efficient use of wireless channel, this article puts forward an energy saving cooperative relaying scheme which actuates the cooperative transmis- sion only when the feedback from the destination indicates failure of the direct transmission. The proposed scheme selects the optimal relay and its corresponding transmission power in each time slot based on channel condition and residual ener- gy with the objective of minimizing energy con- sumption and extending network lifetime. In the study, the f＇mite-state Markov channel model is used to characterize the correlation structure of channel fading in wireless networks, and the pro- cedure of relay selection and transmission power decision is formulated as a M arkov decision process. Numerical and simulation results show that the proposed scheme consumes less energy and prolongs the network lifetime.

关键词： energy saving relay selection powercontrol coop erative communication

Flight Delay Prediction Using Gradient Boosting Machine Learning Classifiers

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Journal of Quantum Computing 2021年第1期3卷 1-12页

作者： Mingdao Lu Peng Wei Mingshu He yinglei teng Beijing University of Posts and Telecommunications Beijing100876China

With the increasing of civil aviation business,flight delay has become a key problem in civil aviation field in recent years,which has brought a considerable economic impact to airlines and related *** delay prediction of specific flights is very important for airlines’plan,airport resource allocation,insurance company strategy and personal *** influence factors of flight delay have high complexity and non-linear *** different situations of various regions and airports,and even the deviation of airport or airline arrangement all have certain influence on flight delay,which makes the prediction more *** view of the limitations of the existing delay prediction models,this paper proposes a flight delay prediction model with more generalization ability and corresponding machine learning classification *** model fully exploits temporal and spatial characteristics of higher dimensions,such as the influence of preceding flights,the situation of departure and landing airports,and the overall situation of flights on the same *** the process of machine learning,the model is trained with historical data and tested with the latest actual *** test result shows that the model and this machine learning algorithm can provide an effective method for the prediction of flight delay.

关键词： Delay prediction machine learning gradient boosting

A Cross-Layer Scheme for Handover in 802.16e Network with F-HMIPv6 Mobility

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Communications and Network 2009年第1期1卷 35-41页

作者： Yi ZHENG Yong ZHANG yinglei teng Mei SONG 不详

IEEE802.16e is the major global cellular wireless standard that enables low-cost mobile Internet application. However, existing handover process system still has latency affects time-sensitive applications. In this paper, the handover procedures of 802.16e and Fast Handover for Hierarchical MIPv6 (F-HMIPv6) are reconstructed to achieve a better transmission performance. The concept of cross layer design is adopted to refine the existing handover procedure specified in 802.16e MAC layer and F-HMIPv6. More specifically, layer2 and layer3 signaling messages for handover are analyzed and combined/interleaved to optimize the handover performance. Extensive simulations show that the proposed scheme in this paper is superior to the other scheme proposed by IETF.

关键词： handover cross layer 802.16e F-HMIPv6