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Defect-Tolerant Mapping of CMOL Circuit Targeting delay optimization

Journal of Computer Science & Technology 2021年第5期36卷 1118-1132页

作者： Xiao-Jing Zha Yin-Shui Xia Shang-Luan Xie Zhu-Fei Chu Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China

In view of the significant number of defective nanodevices in the Cmos/nanowire/MOLecular hybrid(CMOL)circuit,defect-tolerant mapping is an essential step to achieve correct logic operations in defective CMOL ***,less effort has been made to improve circuit delay by defect-tolerant *** this paper,the factors affecting the delay of mapped circuits are analyzed,and the path-tree based defect-tolerant mapping method for the delay optimization is *** the logic-domain,the terminology of the path tree is presented,and the logic circuit is first partitioned into multiple path ***,the mapping areas in the physic-domain are pre-planned for(near)critical path *** the mapping process,the specific mapping modes and an updating strategy are formulated to map the path trees:inputs are mapped based on input sorting;(near)critical path trees are mapped with priority,while the others are mapped in a hierarchical ***,an improved tabu search algorithm is employed to verify the validity of the proposed defect-tolerant mapping *** evaluations on the ISCAS benchmarks show that the proposed method can reduce circuit delay by 15.22%.

关键词： nanohybrid circuit defect-tolerant mapping delay optimization

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Adaptive delay optimization of Multicast-Enabled Coded Caching in Device-to-Device Networks

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China Communications 2020年第1期17卷 42-48页

作者： Liang Zhong Xueqian Zheng Jie Lin Yang Cao Shenggen Ju China University of Geosciences School of Mechanical Engineering and Electronic Information Department of Electronics and Information EngineeringWuhan 430027China Huazhong University of Science and Technology Wuhan 430027China Sichuan University Department of Computer Network and CommunicationChengdu 610207China

This letter investigates a delay optimization problem in device-to-device(D2D)networks where users have pre-downloaded subfiles following a coded caching *** to acquiring rest subfiles,users may suffer both receiving and transmitting *** achieve the delay minimization,we first propose a delay-aware mode-selection strategy to adaptively choose multicast or D2D communications mode to reduce the receiving-caused *** matching these transmit modes with distinct subfile sizes,we further formulate a min-max optimization problem to minimize the delivery ***,numerical results prove that the proposed scheme outperforms existing ones in terms of both receiving and transmitting delays.

关键词： coded caching delay optimization multicast device-to-device

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Joint Allocation of Wireless Resource and Computing Capability in MEC-Enabled Vehicular Network

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China Communications 2021年第6期18卷 64-76页

作者： Yanzhao Hou Chengrui Wang Min Zhu Xiaodong Xu Xiaofeng Tao Xunchao Wu National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and TelecommunicationsBeijing 100876China

In MEC-enabled vehicular network with limited wireless resource and computation resource,stringent delay and high reliability requirements are challenging *** order to reduce the total delay in the network as well as ensure the reliability of Vehicular UE(VUE),a Joint Allocation of Wireless resource and MEC Computing resource(JAWC)algorithm is *** JAWC algorithm includes two steps:V2X links clustering and MEC computation resource *** the V2X links clustering,a Spectral Radius based Interference Cancellation scheme(SR-IC)is proposed to obtain the optimal resource allocation *** converting the calculation of SINR into the calculation of matrix maximum row sum,the accumulated interference of VUE can be constrained and the the SINR calculation complexity can be effectively *** the MEC computation resource scheduling,by transforming the original optimization problem into a convex problem,the optimal task offloading proportion of VUE and MEC computation resource allocation can be *** simulation further demonstrates that the JAWC algorithm can significantly reduce the total delay as well as ensure the communication reliability of VUE in the MEC-enabled vehicular network.

关键词： vehicular network delay optimization wireless resource allocation matrix spectral radius MEC computation resource allocation

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