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Auction-based profit maximization offloading in mobile edge computing

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Digital Communications and Networks 2023年第2期9卷 545-556页

作者： ruyan wang Chunyan Zang Peng He Yaping Cui Dapeng Wu School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China Chongqing400065China Chongqing Key Laboratory of Ubiquitous Sensing and Networking Chongqing400065China

Offloading Mobile Devices(MDs)computation tasks to Edge Nodes(ENs)is a promising solution to overcome computation and energy resources limitations of MDs.However,there exists an unreasonable profit allocation problem between MDs and ENs caused by the excessive concern on MD profit.In this paper,we propose an auction-based computation offloading algorithm,inspiring ENs to provide high-quality service by maximizing the profit of ENs.Firstly,a novel cooperation auction framework is designed to avoid overall profit damage of ENs,which is derived from the high computation delay at the overloaded ENs.Thereafter,the bidding willingness of each MD in every round of auction is determined to ensure MD rationality.Furthermore,we put forward a payment rule for the pre-selected winner to effectively guarantee auction truthfulness.Finally,the auction-based profit maximization offloading algorithm is proposed,and the MD is allowed to occupy the computation and spectrum resources of the EN for offloading if it wins the auction.Numerical results verify the performance of the proposed algorithm.Compared with the VA algorithm,the ENs profit is increased by 23.8%,and the task discard ratio is decreased by 7.5%.

关键词： Mobile edge computing Computation offloading Heterogeneous network Auction pricing

Multi-agent reinforcement learning for edge information sharing in vehicular networks

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Digital Communications and Networks 2022年第3期8卷 267-277页

作者： ruyan wang Xue Jiang Yujie Zhou Zhidu Li Dapeng Wu Tong Tang Alexander Fedotov Vladimir Badenko School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China Chongqing400065China Key Laboratory of Ubiquitous Sensing and Networking in Chongqing Chongqing400065China Peter the Great St.Petersburg Polytechnic University Polytechnicheskaya29St.Petersburg195251Russia

To guarantee the heterogeneous delay requirements of the diverse vehicular services,it is necessary to design a full cooperative policy for both Vehicle to Infrastructure(V2I)and Vehicle to Vehicle(V2V)links.This paper investigates the reduction of the delay in edge information sharing for V2V links while satisfying the delay requirements of the V2I links.Specifically,a mean delay minimization problem and a maximum individual delay minimization problem are formulated to improve the global network performance and ensure the fairness of a single user,respectively.A multi-agent reinforcement learning framework is designed to solve these two problems,where a new reward function is proposed to evaluate the utilities of the two optimization objectives in a unified framework.Thereafter,a proximal policy optimization approach is proposed to enable each V2V user to learn its policy using the shared global network reward.The effectiveness of the proposed approach is finally validated by comparing the obtained results with those of the other baseline approaches through extensive simulation experiments.

关键词： Vehicular networks Edge information sharing Delay guarantee Multi-agent reinforcement learning Proximal policy optimization

UTM:A trajectory privacy evaluating model for online health monitoring

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Digital Communications and Networks 2021年第3期7卷 445-452页

作者： Zhigang Yang ruyan wang Dapeng Wu Daizhong Luo School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China School of Artificial Intelligence Chongqing University of Arts and SciencesChongqing402160China Key Laboratory of Optical Communication and Networks Chongqing400065China Key Laboratory of Ubiquitous Sensing and Networking Chongqing400065China

A huge amount of sensitive personal data is being collected by various online health monitoring applications.Although the data is anonymous,the personal trajectories(e.g.,the chronological access records of small cells)could become the anchor of linkage attacks to re-identify the users.Focusing on trajectory privacy in online health monitoring,we propose the User Trajectory Model(UTM),a generic trajectory re-identification risk predicting model to reveal the underlying relationship between trajectory uniqueness and aggregated data(e.g.,number of individuals covered by each small cell),and using the parameter combination of aggregated data to further mathematically derive the statistical characteristics of uniqueness(i.e.,the expectation and the variance).Eventually,exhaustive simulations validate the effectiveness of the UTM in privacy risk evaluation,confirm our theoretical deductions and present counter-intuitive insights.

关键词： Online health monitoring Trajectory privacy User trajectory model Aggregated data Uniqueness

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IRS辅助的车联网相移设计和信道对齐策略

系统工程与电子技术 2024年第2期46卷 761-769页

作者：王汝言王康崔亚平何鹏吴大鹏重庆邮电大学通信与信息工程学院重庆400065 先进网络与智能互联技术重庆市高校重点实验室重庆400065 泛在感知与互联重庆市重点实验室重庆400065

针对车联网中车辆的动态移动以及信号的随机散射所导致的信道快速变化问题,研究了智能反射面(intelligent reflecting surface,IRS)辅助的车联网通信并提出了联合相移设计和信道对齐策略,以削减车联网中多普勒频移的影响并提升通信性能... 详细信息

针对车联网中车辆的动态移动以及信号的随机散射所导致的信道快速变化问题,研究了智能反射面(intelligent reflecting surface,IRS)辅助的车联网通信并提出了联合相移设计和信道对齐策略,以削减车联网中多普勒频移的影响并提升通信性能。提出的策略由两个阶段构成。在第一阶段设计IRS的相移以改善级联信道的衰落状态,在策略的第二阶段进行修正函数的设计,实现了直接信道和级联信道的信道对齐,从而减少直接信道快衰落状态对通信性能的影响。通过联合相移设计和信道对齐策略中设计的反射相移以及修正函数,实现了通信性能的提升。仿真结果表明,所提策略相比于相移优化策略可以提升8.8%的频谱效率。

关键词：车联网智能反射面衰落信道相移设计

Deep space multi-file delivery protocol based on LT codes

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Journal of Systems Engineering and Electronics 2016年第3期27卷 524-530页

作者： ruyan wang Hua Liang Hui Zhao Gaofeng Fang Key Laboratory of Optical Communication and Networks Chongqing University of Posts and Telecommunication

A deep space multi-file delivery protocol（DSMDP） based on LT codes is proposed to reduce the influence of long delay and a high bit error rate（BER） in deep space communication. The protocol increases sending redundancy by LT codes to improve the success rate of file delivery, and adopts different protective strategies for different situations of packet loss. At the same time, the multi-file united delivery strategy is adopted to make full use of the retransmission time to reduce the end-toend transmission delay. Furthermore, the protocol determines the quantity of encoded packets according to the feedback for controlling redundancy. The simulation results show that the proposed protocol can significantly reduce the transmission delay of files, which would be effectively suitable for deep space communication environment of high BER and long delay.

关键词： deep space communication multi-file delivery protocol LT codes delay

Scalable privacy-preserving big data aggregation mechanism

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Digital Communications and Networks 2016年第3期2卷 122-129页

作者： Dapeng Wu Boran Yang ruyan wang School of Information and Communication Engineering Chongqing University of Posts and Telecommunications No. 2 Chonoowen Road Nan'An DistrictChongqing City 400065 PR China

As the massive sensor data generated by large-scale Wireless Sensor Networks (WSNs) recently become an indispensable part of ‘Big Data’, the collection, storage, transmission and analysis of the big sensor data attract considerable attention from researchers. Targeting the privacy requirements of large-scale WSNs and focusing on the energy-efficient collection of big sensor data, a Scalable Privacy-preserving Big Data Aggregation (Sca-PBDA) method is proposed in this paper. Firstly, according to the pre-established gradient topology structure, sensor nodes in the network are divided into clusters. Secondly, sensor data is modified by each node according to the privacy-preserving configuration message received from the sink. Subsequently, intra- and inter-cluster data aggregation is employed during the big sensor data reporting phase to reduce energy consumption. Lastly, aggregated results are recovered by the sink to complete the privacy-preserving big data aggregation. Simulation results validate the efficacy and scalability of Sca-PBDA and show that the big sensor data generated by large-scale WSNs is efficiently aggregated to reduce network resource consumption and the sensor data privacy is effectively protected to meet the ever-growing application requirements.

关键词： Big sensor data Privacy-preserving method Data aggregation Gradient-based clustering

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面向密集场景的空天地网络资源分配算法

电子与信息学报 2024年第5期46卷 1968-1976页

作者：张鸿廖彧歆王汝言吴大鹏杜慧敏重庆邮电大学通信与信息工程学院重庆400065 先进网络与智能互联技术重庆市高校重点实验室重庆400065 泛在感知与互联重庆市重点实验室重庆400065

空天地网络具有覆盖范围大、吞吐量高、弹性强等优点。该文针对大量用户并发接入、网络负载不均衡所引发的网络拥塞、服务质量恶化等问题,提出一种面向密集场景的资源分配算法。首先以用户需求为中心,根据不同类型用户任务的偏好来构建... 详细信息

空天地网络具有覆盖范围大、吞吐量高、弹性强等优点。该文针对大量用户并发接入、网络负载不均衡所引发的网络拥塞、服务质量恶化等问题,提出一种面向密集场景的资源分配算法。首先以用户需求为中心,根据不同类型用户任务的偏好来构建用户效用函数,然后基于匹配博弈的网络选择算法和结合对偶上升法的功率控制算法来实现负载均衡,优化资源分配方案。实验表明,相较于传统策略,所提策略整体用户接入率至少提高35%,时延和吞吐量方面性能提升超过50%;在密集场景下,能更有效地均衡负载,提升网络性能。

关键词：空天地一体化网络资源分配博弈论密集场景

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程锦国以攻补兼施法治疗糖尿病肾病经验

浙江中西医结合杂志 2024年第5期34卷 395-397页

作者：吴晨浩王如琰程锦国浙江中医药大学附属温州中医院肾内科温州325029 温州医科大学附属第一医院肾内科温州325000

糖尿病肾病是2型糖尿病常见的并发症,发病率约为40%[1]。是终末期肾脏疾病发生的主要病因[2]。糖尿病肾病早期无明显临床症状,可见持续性微量白蛋白尿,进展后见肾病综合征等表现,最终发展为肾功能衰竭。现阶段的主要治疗方法为控制血糖... 详细信息

糖尿病肾病是2型糖尿病常见的并发症,发病率约为40%[1]。是终末期肾脏疾病发生的主要病因[2]。糖尿病肾病早期无明显临床症状,可见持续性微量白蛋白尿,进展后见肾病综合征等表现,最终发展为肾功能衰竭。现阶段的主要治疗方法为控制血糖、血压等综合性对症治疗,在改善患者肾脏预后、减缓晚期糖尿病肾病发展等方面效果欠理想[3]。程锦国教授,主任中医师,浙江省名中医,第六批全国名老中医专家学术经验继承工作指导老师,从事中医临床工作30余年,临床治疗糖尿病肾病效果良好,现对程锦国教授以攻补兼施法治疗糖尿病肾病经验总结如下。

关键词：糖尿病肾病攻补兼施程锦国临床经验

OFDMA-PON with MQAM downlink for flexible allocation

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Journal of Systems Engineering and Electronics 2019年第6期30卷 1090-1095页

作者： HE Chao wang ruyan TAN Zefu TAN Xiang’an Key Laboratory of Ubiquitous Sensing and Networking in Chongqing Chongqing University of Posts and TelecommunicationsChongqing 400065China School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Signal and Information Processing Chongqing Three Gorges UniversityChongqing 404100China Operation&Maintenance Department of Wanzhou Branch China UnicornChongqing 404100China

In this paper, the 40-Gbps orthogonal frequency division multiple access(OFDMA) technology enabled by subcarrier allocation in the form of integrated architecture for the intra-cell is proposed in the downlink transmission passive broadband optical access system. The data-carrying subcarriers in the inverse fast Fourier transform/fast Fourier transform(IFFT/FFT) size of1 024 points are successfully divided into three sub-channels,in which each sub-channel has 256 useful subcarriers, by using adaptive dynamic bandwidth allocation(DBA). Taking the inherent advantages of M-ary quadrature amplitude modulation(MQAM)modulation mechanism into account, the performance of the absolutely identical MQAM format over the different sub-channels for the downstream OFDMA-passive optical network(PON) is investigated based on the intensity modulation direct detection(IMDD) system by simulations. The results show that three parallel4 QAM or 16 QAM or 64 QAM OFDMA data, which are transmitted over three sub-channels, is more suitable for different sub-channel allocations, respectively. In addition, comparing with single port4/16/64 QAM OFDM over the same access system, the receiver sensitivity economizes – 0.6 d Bm, 0.6 d Bm, 4.6 d Bm at the bit error rate(BER) value of 10-3 respectively.

关键词： orthogonal frequency division multiple access(OFDMA) passive optical network(PON) downlink transmission dynamic bandwidth allocation(DBA).