2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)最新文献_第8页

ORB-Enhanced Belief Propagation Decoding of Polar Codes 基于orb的极性码信念传播译码

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039278

Xintao Jin, Zhenyuan Chen, Yuejun Wei, Wenyi Zhang, Huarui Yin, Liping Li

引用次数: 0

Task Scheduling via Modified Deep Reinforcement Learning for MEC-Enabled Industrial IoT 基于改进深度强化学习的mec工业物联网任务调度

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039332

Yizhou Wang, Haixia Zhang, Xiaotian Zhou, Dongyang Li, Dongfeng Yuan

{"title":"Task Scheduling via Modified Deep Reinforcement Learning for MEC-Enabled Industrial IoT","authors":"Yizhou Wang, Haixia Zhang, Xiaotian Zhou, Dongyang Li, Dongfeng Yuan","doi":"10.1109/WCSP55476.2022.10039332","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039332","url":null,"abstract":"With the development of Industrial Internet of Things (IIoT), the ever growing mismatch between the numerous tasks generated in real industrial scenarios and the limited computing ability is enlarging the system delay. How to schedule the system tasks to enhance the system efficiency has become extremely significant. Along this line, a task scheduling scheme for MEC-enabled IIoT systems is proposed in this work to minimize the total delay of the whole system. Since there exist time overlaps between different tasks while the tasks are conducted in parallel, it is difficult to accurately model the process of the tasks in terms of delay. To solve this, a novel modeling method is proposed to transform the optimization problem of minimizing the total delay into minimizing the unprocessed data volumes. To solve the formulated problem, we formulate the process of the tasks being executed as a Markov decision process (MDP) and propose a modified deep reinforcement learning (DRL) algorithm. To evaluate the performance of our proposed task scheduling scheme, intensive experiments have been conducted. The results show that our proposed scheme achieves better performance than some existing schemes. In the end, the scalability and availability of our scheme are tested.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132635029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Active Reconfigurable Intelligent Surface (RIS) Aided Secure Wireless Transmission Under a Shared Power Source Between Transmitter and RIS 主动可重构智能表面(RIS)在发射器和RIS之间共享电源下辅助安全无线传输

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039260

Limeng Dong, Wanyu Yan

{"title":"Active Reconfigurable Intelligent Surface (RIS) Aided Secure Wireless Transmission Under a Shared Power Source Between Transmitter and RIS","authors":"Limeng Dong, Wanyu Yan","doi":"10.1109/WCSP55476.2022.10039260","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039260","url":null,"abstract":"In this paper, an active RIS assisted multiple-input single-output system is studied, and we focus on enhancing the achievable secrecy rate of legitimate user in the presence of an eavesdropper (Eve). Different from the most existing studies that the active RIS is equipped with an independent power source, we consider a more fairness setting that the transmitter (Tx) and RIS share the same power source. And given imperfect channel state information (CSI) between RIS and Eve with bounded estimation error, a complicate non-convex robust secrecy rate optimization problem is formulated. To solve this problem, we adopt an efficient alternating optimization algorithm in combination with successive approximation and line search algorithm to jointly optimize the optimal beamformer at Tx, the optimal amplification and phase shift coefficient at RIS. Numerical examples show that the secrecy rate performance returned by the proposed algorithm for the active RIS case outperforms the benchmark scheme for the passive RIS case. Furthermore, the performance gain is significant by allocating only a small fraction of the total power to active RIS.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Lightweight Broad Learning System for Wireless Traffic Prediction 一种用于无线流量预测的轻量级广义学习系统

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039465

Xinyu Li, Yajun Chen, Mengwen Diao, Hengfa Liu, Xiao Liu, Xin Wei

引用次数: 0

Automatic Modulation Recognition Based on Multi-Channel Neural Network Model 基于多通道神经网络模型的调制自动识别

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039264

Xianchao Zhang, Sheng Ma, Jian Shi, Panpan Li, Guangxue Yue

引用次数: 0

IRS-Assisted UAV Covert Communication via Location and Power Optimization 基于位置和功率优化的irs辅助无人机隐蔽通信

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039101

Chao Wang, Xinying Chen, Jianping An, Zehui Xiong, C. Xing, Nan Zhao, D. Niyato

引用次数: 1

Attributes and Semantic Constrained GAN for Face Sketch-Photo Synthesis 人脸素描-照片合成的属性和语义约束GAN

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039309

Jieying Zheng, Haoxian Li, Feng Liu

{"title":"Attributes and Semantic Constrained GAN for Face Sketch-Photo Synthesis","authors":"Jieying Zheng, Haoxian Li, Feng Liu","doi":"10.1109/WCSP55476.2022.10039309","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039309","url":null,"abstract":"Face sketch-photo synthesis aims at generating a facial photo conditioned on a given photo. It has attracted wide attention in computer vision and has been widely applied in law enforcement and entertainment. However, precisely synthesizing high-quality face photos is still challenging due to the missing color information in face sketches. To alleviate the problem, we propose an attribute and Semantic constrained Generative Adversarial Networks (ASGAN), which introduces face attribute and semantic constraints to improve the quality and accuracy of synthesized photos. Specifically, We first annotate the key attributes in the dataset and form a 14-dimensional attribute vector for each face. Then, the attribute features and semantic features obtained by face parsing are fused. Finally, the generator takes the fused constrain features and sketches as input and constructs two-stream encoders to synthesize high-quality photos. Extensive experimental results demonstrate that our method can significantly outperform state-of-the-art methods. It can synthe-size higher-quality face photos while maintaining the identity, attributes, and structure. Meanwhile, it can alleviate the problem of background and skin color synthesis errors.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134319331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computation-Dependent Routing Based Low-Latency Decentralized Collaborative Computing Strategy for Satellite-Terrestrial Integrated Network 基于计算依赖路由的星地融合网络低延迟分散协同计算策略

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039422

Buyun Ma, Zhiyuan Ren, Wei Guo, Wenchi Cheng, Hailin Zhang

{"title":"Computation-Dependent Routing Based Low-Latency Decentralized Collaborative Computing Strategy for Satellite-Terrestrial Integrated Network","authors":"Buyun Ma, Zhiyuan Ren, Wei Guo, Wenchi Cheng, Hailin Zhang","doi":"10.1109/WCSP55476.2022.10039422","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039422","url":null,"abstract":"By jointly optimizing the computation offloading and routing, the Computation-Dependent Routing (CDR) can significantly reduce the task processing latency in Satellite-Terrestrial Integrated Network (STIN). However, existing CDR-related works mainly focus on the performance improvement in the central static environment while ignoring the dynamic decentralized environment of STIN. To support the latencysensitive tasks in STIN, in this paper, we propose a CDR based low-latency decentralized collaborative computing strategy (LOCS), in which a Directed Diffusion enhanced Task Scheduling algorithm (DETS) is proposed to achieve the computing while transmitting distributedly by designing a novel computing gradient that both considers the computing and communication resources. Moreover, to overcome the STIN dynamics, a cross time slot mechanism based on the Time Expanded Graph (TEG) model is introduced. The latency performance of LOCS is analyzed. Numerical results verify that the proposed LOCS performs stronger resilience compared with the central scheme.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132954604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

All Integral Points Satisfying Linear Rank Inequalities on Four or Less Variables are Representable 在四个或四个以下变量上满足线性秩不等式的所有积分点都是可表示的

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039300

Jiahong Wu, Nan Liu, Wei Kang

引用次数: 0

Optimized meta-VQE Algorithm for Better Trend Learning of Ground State Energy 基态能量趋势学习的优化元vqe算法

2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039381

Han Zeng, Ze-Tong Li, Tian Luan, Yulong Fu, Xutao Yu, Zaichen Zhang

引用次数: 1