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

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Forecasting Stock Indexes with Metabolic DWT and MWA-GM(1,1) 利用代谢DWT和MWA-GM预测股票指数(1,1)
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039408
Ziyang Jiang, Siyuan Lu, Jun Lin, Zhongfeng Wang
{"title":"Forecasting Stock Indexes with Metabolic DWT and MWA-GM(1,1)","authors":"Ziyang Jiang, Siyuan Lu, Jun Lin, Zhongfeng Wang","doi":"10.1109/WCSP55476.2022.10039408","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039408","url":null,"abstract":"Predicting stock indexes is one of the most important tasks of modern financial time series analysis, and efficient prediction algorithms are desired by researchers and investors. This work proposes a novel and effective model to improve the forecasting precision. We first design a metabolic discrete wavelet transform (DWT) and a moving weighted average grey model (MWA-GM(1,1)), both of them could capture more useful information from the latest data flexibly. By integrating these two components, the hybrid model not only has strong adaptability in the prediction of various stock indexes, but also has high prediction accuracy. Compared to GM(1,1) model, our hybrid model reduces error by more than 17% when predicting eight representative stock indexes globally. Meanwhile, our method also significantly outperforms other GM-based prediction methods, providing a good idea of combining DWT and grey model to predict time series.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"31 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840962","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 Traffic Scheduling Algorithm Combined with Ingress Shaping in TSN TSN中一种结合入口整形的流量调度算法
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039213
Wenxuan Han, Yanjue Li, Changchuan Yin
{"title":"A Traffic Scheduling Algorithm Combined with Ingress Shaping in TSN","authors":"Wenxuan Han, Yanjue Li, Changchuan Yin","doi":"10.1109/WCSP55476.2022.10039213","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039213","url":null,"abstract":"Most of the recent researches related to hybrid traffic scheduling in Time-Sensitive Networking (TSN) focus on how to ensure bounded low-delay transmission for Scheduled Traffic (ST) and Stream Reservation (SR) traffic. However, if high-priority traffic blocks Best Effort (BE) traffic represented by data logging and periodic software updates for a long time, the end-to-end delay of BE messages will be too large. To reduce the blocking of SR traffic on BE traffic by reducing the reserved bandwidth for SR traffic, this paper proposes a traffic scheduling algorithm combined with ingress shaping. First, add ingress buffers before SR queues. Then, schedule SR traffic on a per-flow basis in the TSN switch by limiting the rate at which frames in each ingress buffer enter the SR queue. Finally, joint egress shaping and ingress shaping to reserve bandwidth resources that match its delay requirement for each SR flow. Simulation results show that the maximum end-to-end delay of BE messages can be reduced by 0.32%~17.19%.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"67 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":"124350187","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: 1
Spatial-Temporal Context-Aware Location Prediction Based on Bidirectional Self-Attention Network
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039383
Kuijie Lin, Junxin Chen, Xiaoqin Lian, Weimin Mai, Zhiheng Guo, Xiang Chen, Terng-Yin Hsu
{"title":"Spatial-Temporal Context-Aware Location Prediction Based on Bidirectional Self-Attention Network","authors":"Kuijie Lin, Junxin Chen, Xiaoqin Lian, Weimin Mai, Zhiheng Guo, Xiang Chen, Terng-Yin Hsu","doi":"10.1109/WCSP55476.2022.10039383","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039383","url":null,"abstract":"The next-location prediction tasks get much attention because it is employed in many applications. The accuracy of location prediction has become the basis of these applications. The existing approaches related rely on transition matrices according to specific probabilistic rules or recurrent neural networks that cannot be applied to complex scenarios. Other works focus on extracting extra information in trajectory. In this paper, we propose a context-aware model with a bidirectional self-attention network for location prediction, which can capture implicit spatial-temporal patterns from the time stamps and geographical distances of locations. Besides, a training mechanism, Mask Locations, is employed to improve the prediction accuracy. We conduct experiments on two large-scale datasets: a check-in dataset and a Call Detail Record (CDR) dataset. The results show that our model significantly outperforms the competitive baseline methods.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"15 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":"122540805","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
Fast and Accurate Detection of UAV Objects Based on Mobile-Yolo Network 基于移动yolo网络的无人机目标快速准确检测
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039216
Jun Wang, Hongjun Wang, Jian Liu, Rui Zhou, Chunhao Chen, Chuang Liu
{"title":"Fast and Accurate Detection of UAV Objects Based on Mobile-Yolo Network","authors":"Jun Wang, Hongjun Wang, Jian Liu, Rui Zhou, Chunhao Chen, Chuang Liu","doi":"10.1109/WCSP55476.2022.10039216","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039216","url":null,"abstract":"With the development and popularization of unmanned aerial vehicle (UAV) technology, the UAV devices have been widely used in practice. Aiming at the problems of low accuracy and slow speed in detecting UAV objects, this paper constructs a UAV object dataset and proposes an efficient UAV object detection method based on Mobile-YOLO Network (MYN). Firstly, a UAV data set was constructed, including 3,698 UAV images, in which the proportion of large, medium and small-scale objects was about 3:1:1, providing a data basis for algorithm research and experimental verification. Secondly, we construct a Mobile-YOLO network model for UAV object detection based on YOLOv4, enhancing the detection speed to 51FPS under the premise of high precision. The results show that the Mobile-YOLO network has fewer parameters, faster operation speed and better comprehensive performance.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"151 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":"124003232","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
An Effective Capacity Empowered Resource Allocation Approach in Low-Latency C-V2X 一种有效的低延迟C-V2X容量授权资源分配方法
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039214
Y. Xie, Kai Yu, Zhixuan Tang, Luofang Jiao, Jianzhe Xue, Haibo Zhou
{"title":"An Effective Capacity Empowered Resource Allocation Approach in Low-Latency C-V2X","authors":"Y. Xie, Kai Yu, Zhixuan Tang, Luofang Jiao, Jianzhe Xue, Haibo Zhou","doi":"10.1109/WCSP55476.2022.10039214","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039214","url":null,"abstract":"Ultra-reliable and low-latency communication services are very crucial in the fifth generation (5G) cellular system. In this paper, we investigate the resource allocation problem in low-latency cellular vehicle-to-everything (C-V2X) network based on effective capacity theory, and consider statistical delay constraints of both single-hop and full-duplex two-hop relay-assisted vehicle-to-vehicle (V2V) communications. We formulate a resource allocation problem to maximize the sum ergodic capacity of vehicle-to-infrastructure (V2I) users while guaranteeing the delay constraints of V2V users. Since the problem is a mixed integer nonlinear programming problem, we split it into a power control problem solved by closed-form solution and a spectrum reusing problem solved by Hungarian algorithm, respectively. Simulation results show that the proposed algorithms can effectively improve the overall network performance and ensure high reliability and low latency in V2V communications.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"5 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":"124047337","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: 1
Distributed Radar Interval Distance Estimation Based on Deep Neural Network 基于深度神经网络的分布式雷达间隔距离估计
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039423
Xiayu Li, Peng Chen
{"title":"Distributed Radar Interval Distance Estimation Based on Deep Neural Network","authors":"Xiayu Li, Peng Chen","doi":"10.1109/WCSP55476.2022.10039423","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039423","url":null,"abstract":"In recent years, millimeter wave (mmWave) radar has played an indispensable role in several applications. mm Wave radars can measure the distance, speed, and angle of objects, but the transmit power of a single mm Wave radar is limited. By deploying multiple mm Wave radars in a distributed manner and fusing signals from them, detection results will be improved. Before data fusion, it is necessary to accurately measure the external parameters between different radars to complete the coordinates calibration of the radar network. Current methods focus on the calibration method by jointly observing moving objects in overlapping view fields of the radar network. The calibration process requires one target to move within a defined area. Because the radar cross section (RCS) characteristics of the target in all directions are usually inconsistent, if the reflected signal of this target is weak during the calibration process, the error of this method will be relatively large. This paper proposes a new neural network-based method to estimate the interval distance between different radars without passing through a moving target. The distance estimation error of the proposed network can reach within 0.1 m, which is smaller than the calibration method based on moving objects. Through the verification of actual measured data, the proposed network can more accurately estimate the interval distance between radars.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"91 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":"115364709","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: 1
Smart Handover Scheme for a 5G-Enabled Ambulance 5g救护车的智能切换方案
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039210
Yao Zhao, Xianchao Zhang
{"title":"Smart Handover Scheme for a 5G-Enabled Ambulance","authors":"Yao Zhao, Xianchao Zhang","doi":"10.1109/WCSP55476.2022.10039210","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039210","url":null,"abstract":"Remote first-aid treatment on ambulances is a promising application of 5G. However, there still exist gaps between the capabilities of current 5G networks and the ultra-high requirements of remote emergency on ambulances. Therefore, we investigate a smart handover scheme to enhance the transmission capacity of the 5G wireless links for ambulances. First, we introduce the mobility and mmWave communication models of a 5G-enabled ambulance in an urban environment. Based on these models, we formulate the handover problem to maximize the expected transmission rate during a driving period of the 5G-enabled ambulance. Considering the randomness of system environments and the delay caused by the handover process, we apply a far-sighted Artificial Intelligence (AI) technology, i.e., Deep Q Network (DQN)-based algorithm, to solve this problem. For resolving the limitations of vanilla DQN, we adopt effective techniques including multi-step learning, double DQN, and NoisyNet to improve the performances of DQN and propose a Noisy Double DQN (NDDQN)-based handover algorithm. Simulation results verify the effectiveness and superiority of our NDDQN-based smart handover scheme compared with vanilla DQN and UCB-based handover algorithms.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"65 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":"131991371","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: 2
Maximum Likelihood DOA Estimation Aided by Magnitude Measurements 借助震级测量的最大似然DOA估计
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039307
Ningbo Liang, Shengchu Wang
{"title":"Maximum Likelihood DOA Estimation Aided by Magnitude Measurements","authors":"Ningbo Liang, Shengchu Wang","doi":"10.1109/WCSP55476.2022.10039307","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039307","url":null,"abstract":"This paper proposes a maximum likelihood (ML) direction of arrival (DOA) estimator for a magnitude-aided antenna array (MA-AA), which incorporates magnitude-only radio frequency (RF) chains into the traditional AA to obtain magnitude measurements. The magnitude observations are further quantized by low-resolution (2-bit) analog-to-digital converters (ADC) in quantized MA-AA (QMA-AA) to further reduce the circuit power of magnitude RF chains. In ML, the multi-signal classification (MUSIC) method is firstly used to get estimates of DOA based on complex measurements from AA. Secondly, the angle region around the MUSIC DOAs is gridded uniformly and their likelihood values are calculated based on complex-valued and (quantized) magnitude observations. Since the channel response is modeled as continuous random variables, it is impractical to search over its value range. Therefore, the channel response estimate is obtained by the least-square (LS) method before calculating the likelihood function. Finally, the DOA with the highest likelihood function value is the DOA estimate of ML. Simulation results show that both the magnitude measurements from MA-AA and low-resolution quantized magnitude measurements from QMA-AA can enhance the DOA estimation accuracy of ML. ML outperforms the traditional DOA estimators and does not require a reference source. MA-AA is more energy-efficient than the traditional AA under the ML estimator.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"29 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":"131414110","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
Rapid On-Off-Division Duplex Based on Successive Interference Cancellation 基于连续干扰消除的快速开断双工
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039412
Chani Kong, Hanchen Lu, Fengqian Guo, Qiaojia Lu, Xinyu Yang
{"title":"Rapid On-Off-Division Duplex Based on Successive Interference Cancellation","authors":"Chani Kong, Hanchen Lu, Fengqian Guo, Qiaojia Lu, Xinyu Yang","doi":"10.1109/WCSP55476.2022.10039412","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039412","url":null,"abstract":"In this paper, we propose SIC-RODD by introducing successive interference cancellation (SIC) into rapid on-off division duplex (RODD). SIC-RODD extends traditional RODD to support a novel base station (BS) communication mode. Moreover, to provide higher access capability for multiple user equipments (UEs), the BS in SIC-RODD performs power domain non-orthogonal multiple access (NOMA) for downlink transmission to UEs. Considering both uplink and downlink transmission that SIC is used at the receiving end, we jointly optimize the uplink and downlink time slot allocation in RODD and downlink power allocation in NOMA, with the goal to minimize the energy consumption of the BS. This leads to an intractable mixed-integer linear programming problem, for which to tackle we first transform the original problem into an equivalent DC (difference of two convex functions) program, and then propose an iterative algorithm based on the constrained concave-convex procedure to find the optimal solution. Simulation results demonstrate that SIC-RODD can significantly reduce downlink power consumption at BS as well as increase the number of accessed UEs compared with existing RODD systems.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"33 6 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":"131730179","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
Coded Distributed Graph-Based Semi-Supervised Learning 基于编码分布式图的半监督学习
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2022-11-01 DOI: 10.1109/WCSP55476.2022.10039354
Ying Du, Siqi Tan, Kaifeng Han, Jiamo Jiang, Zhiqin Wang, Li Chen
{"title":"Coded Distributed Graph-Based Semi-Supervised Learning","authors":"Ying Du, Siqi Tan, Kaifeng Han, Jiamo Jiang, Zhiqin Wang, Li Chen","doi":"10.1109/WCSP55476.2022.10039354","DOIUrl":"https://doi.org/10.1109/WCSP55476.2022.10039354","url":null,"abstract":"Semi-supervised learning (SSL) has been applied to many practical applications over the past few years. Recently, distributed graph-based semi-supervised learning (DGSSL) has shown to have good performance. Traditional DGSSL algorithms usually have the problem of the straggler effect that algorithm execution time is limited by the slowest node. To solve this problem, a novel coded DGSSL(CDGSSL) algorithm based on the Maximum Distance Separable (MDS) code is proposed in this paper. Specifically, the proposed algorithm is based on the Maximum Distance Separable (MDS) code. In general, the proposed coded distributed algorithm is straggler-tolerant. Moreover, we provide optimal parameters design for the proposed algorithm. The superiority of the proposed algorithm has been confirmed via experiments on Alibaba Cloud Elastic Compute Service.","PeriodicalId":199421,"journal":{"name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"40 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":"131190424","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
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