2021 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第8页

QoS-Aware Autonomous IAB-Node Activation and Access Control qos感知自主ib节点激活和访问控制

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473851

A. S. Tan, Elham Dehghan Biyar

引用次数: 3

Mining Trajectory Patterns with Point-of-Interest and Behavior-of-Interest 利用兴趣点和兴趣行为挖掘轨迹模式

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473612

Sissi Xiaoxiao Wu, Zixian Wu, Weilin Zhu, Xiaokui Yang, Yong Li

{"title":"Mining Trajectory Patterns with Point-of-Interest and Behavior-of-Interest","authors":"Sissi Xiaoxiao Wu, Zixian Wu, Weilin Zhu, Xiaokui Yang, Yong Li","doi":"10.1109/ICCWorkshops50388.2021.9473612","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473612","url":null,"abstract":"Epidemiological investigation is one of the main means of controlling the outbreak of COVID-19. It has been proven to be effective, however, has a bottleneck that the infected person has to be questioned about his recent trajectory before any quarantine action could be taken, while sometimes trajectory information might not be timely and accurately obtained. In this paper, we propose an epidemiological investigation method which resort to artificial intelligence for extracting people’s preferences and social relationship from their historical trajectory patterns. Trajectory data used in our epidemiological investigation method may include time, location, Point-of-Interest (POI), as well as Behavior-of-Interest (BOI). All of these attributes in human’s trajectory are embedded into different channels in the proposed model and then fed into a classifier or a clusterer for serving different purposes. In our experiments, we applied the proposed method on a synthetic data set to conduct a classification task, and on a real data set for a clustering task. Both tasks confirm that the proposed method is effective and thus could be used to guide the preventive measures.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123185219","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 Multi-Agent Learning for Service Function Chain Partial Offloading at the Edge 面向业务功能链边缘部分卸载的分布式多智能体学习

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473554

Fahime Khoramnejad, Roghayeh Joda, M. Erol-Kantarci

{"title":"Distributed Multi-Agent Learning for Service Function Chain Partial Offloading at the Edge","authors":"Fahime Khoramnejad, Roghayeh Joda, M. Erol-Kantarci","doi":"10.1109/ICCWorkshops50388.2021.9473554","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473554","url":null,"abstract":"Multi-Access Edge Computing (MEC) along with \"learning at the edge\" brings unique opportunities for enhancing the utilization of resources in the next generation wireless networks. Using Network Function Virtualization (NFV), Service Function Chains (SFCs), a set of ordered virtual network functions (VNFs), can be deployed within the MEC infrastructure. The user equipment (UEs) can offload VNFs with intense computational load to the MEC servers with rich storage and computation resources. In this paper, we address the problem of partial offloading of a chain of services where each VNF of the SFC request can be either performed locally or offloaded onto a MEC server. The objective is to concurrently minimize the long-term cost of the UEs which is given in terms of both delay and energy consumption. This problem is highly complex and calls for distributed multi-agent learning techniques. We formulate the problem as a distributed multi-agent reinforcement learning problem and use double deep Q-network (DDQN) algorithm to solve it. Our simulation results show that the proposed DDQN-based solution has comparable results to an exhaustive search algorithm.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304705","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: 5

Energy-efficient Joint Beamforming Design for IRS-assisted MISO System 红外辅助MISO系统的节能联合波束形成设计

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473578

Gen Li, M. Zeng, Deepak Mishra, L. Hao, Zheng Ma, O. Dobre

引用次数: 3

5G Enabled VANet: Enhancing the Capabilities of Vehicular Communication Network 5G VANet:增强车载通信网络的能力

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473593

Rohit Singh, Deepak Saluja, Suman Kumar

引用次数: 2

User-Centric Multi-Dimensional Multiple Access in 6G Communications 6G通信中以用户为中心的多维多址

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473721

Wudan Han, Jie Mei, Xianbin Wang

引用次数: 2

In-Body Propagation at ISM and UWB Frequencies for Abdominal Monitoring Applications 腹部监测应用在ISM和UWB频率的体内传播

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473828

Mariella Särestöniemi, C. Pomalaza-ráez, K. Sayrafian-Pour, J. Iinatti

{"title":"In-Body Propagation at ISM and UWB Frequencies for Abdominal Monitoring Applications","authors":"Mariella Särestöniemi, C. Pomalaza-ráez, K. Sayrafian-Pour, J. Iinatti","doi":"10.1109/ICCWorkshops50388.2021.9473828","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473828","url":null,"abstract":"This paper presents the results of an in-body propagation study for abdominal implant communication using a bio-matched mini-horn antenna. The wireless signal coverage in the abdomen area at various ISM and UWB frequency bands are measured using electromagnetic simulations with a 3D anatomical voxel model. Power flow analysis is conducted to visualize propagation within the abdominal tissues at several frequencies. As an example, S-Parameters of the channel between a capsule endoscopy pill and an on-body receiver has been studied and channel attenuations at different frequencies are compared. Using the directional bio-matched antenna, it is observed that at 915 MHz the signal coverage in a horizontal plane is sufficient to almost include the whole small intestine. However, the depth of the coverage reduces substantially at higher frequency bands. This comparative analysis can provide some insight on the applicability of these frequencies for various abdominal monitoring applications. It can also provide some information about the required number and placement of the on-body receivers in order to ensure adequate signal reception.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131573832","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

Analysis and Optimization of Spinal Codes over the BSC: from the AoI Perspective 基于平衡记分卡的脊柱编码分析与优化:基于AoI的视角

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473643

Siqi Meng, Shaohua Wu, Aimin Li, J. Jiao, Ning Zhang, Qinyu Zhang

{"title":"Analysis and Optimization of Spinal Codes over the BSC: from the AoI Perspective","authors":"Siqi Meng, Shaohua Wu, Aimin Li, J. Jiao, Ning Zhang, Qinyu Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473643","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473643","url":null,"abstract":"In the ultra-reliable low-latency communications (URLLC) and the prospective 6G communications, the optimization of the age of information (AoI) will enhance the performance in the real-time status update situations. Spinal codes is a new type of rateless codes which can achieve the channel capacity over both the additive white Gaussian noise (AWGN) channels and the binary symmetric channels (BSC), so minimizing the AoI of Spinal codes will significantly decrease the latency of the real-time status update system. In this paper, we firstly study the AoI of a specific code—Spinal codes, and derive the upper bound of the AoI of Spinal codes. We also prove that obtaining a fine-grained rate in the transmission pattern will decrease the AoI of Spinal codes. Then we formulate the optimizing problem and derive that the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to minimize the AoI. Simulation results demonstrate that the upper bound of the AoI of Spinal codes is tighter when the channel condition is better and the incremental-tail-transmission pattern of Spinal codes is the optimal pattern to achieve the lowest AoI compared with the puncture-based pattern and the pass-to-pass pattern.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870001","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

Efficient Inter-mode Interference Cancellation Method for OAM Multiplexing in the Presence of Beam Axis Misalignment 波束轴线不对准时OAM复用的有效模间干扰消除方法

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473637

Shuhei Saito, Yuki Ito, Hirofumi Suganuma, K. Ogawa, F. Maehara

引用次数: 3

A Novel Hybrid Model for Task Dependent Scheduling in Container-based Edge Computing 基于容器边缘计算的任务依赖调度混合模型

2021 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2021-06-01 DOI: 10.1109/ICCWorkshops50388.2021.9473877

Tingting Lv, Fanping Zeng, Guozhu Chen, Wenjuan Shu, Jingfei Shen, Weikang Zhang

{"title":"A Novel Hybrid Model for Task Dependent Scheduling in Container-based Edge Computing","authors":"Tingting Lv, Fanping Zeng, Guozhu Chen, Wenjuan Shu, Jingfei Shen, Weikang Zhang","doi":"10.1109/ICCWorkshops50388.2021.9473877","DOIUrl":"https://doi.org/10.1109/ICCWorkshops50388.2021.9473877","url":null,"abstract":"In traditional edge computing, the task from the Internet of Things (IoT) is usually offloaded to edge server. It will be uploaded to the remote cloud if the edge server cannot process it. A task can be processed on the server, only if the server has configured the corresponding function program. However, each edge server can only configure a small number of functions due to the limited computing, storage, and bandwidth resources. Moreover, modern tasks from IoT devices become more and more diverse, which are also accompanied by complex dependencies. It increases the processing time overhead to the task processed in remote cloud due to huge transmission delay. In this paper, we design a container-based edge computing system, where a task can be executed on a server only if the server has configured the corresponding container, if not the server can fetch it from other edge servers or remote cloud. Based on the system, we propose a novel hybrid model, called CBASGA, with the aim to minimize the job complete time, which combines Chaos-based Beetle Antennae Search and Genetic Algorithm. Our experimental results show that the designed system reduces the average job completion time by 4.2% compared with the comparison system, and CBASGA reduces the average job completion time by at least 21.7% compared with baselines.","PeriodicalId":127186,"journal":{"name":"2021 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124407567","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