2020 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第9页

Adaptive Inference Reinforcement Learning for Task Offloading in Vehicular Edge Computing Systems 车辆边缘计算系统中任务卸载的自适应推理强化学习

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145133

Dian Tang, Xuefei Zhang, M. Li, Xiaofeng Tao

{"title":"Adaptive Inference Reinforcement Learning for Task Offloading in Vehicular Edge Computing Systems","authors":"Dian Tang, Xuefei Zhang, M. Li, Xiaofeng Tao","doi":"10.1109/ICCWorkshops49005.2020.9145133","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145133","url":null,"abstract":"Vehicular edge computing (VEC) is expected as a promising technology to improve the quality of innovative applications in vehicular networks through computation offloading. However, in VEC system, the characteristics of distributed computing resources and high mobility of vehicles bring a critical challenge, i.e., whether to execute computation task locally or in edge servers can obtain the least computation overhead. In this paper, we study the VEC system for a representative vehicle with multiple dependent tasks that need to be processed successively, where nearby vehicles with computing servers can be selected for offloading. Considering the migration cost incurred during position shift procedure, a sequential decision making problem is formulated to minimize the overall costs of delay and energy consumption. To tackle it effectively, we propose a deep Q network algorithm by introducing Bayesian inference taking advantage of priori distribution and statistical information, which adapts to the environmental dynamics in a smarter manner. Numerical results demonstrate our proposed learning-based algorithm achieve a significant improvement in overall cost of task execution compared with other baseline policies.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401926","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: 6

Exploiting Channel Sparsity for Beam Alignment in mmWave Systems via Exponential Learning 利用指数学习方法开发毫米波系统波束对准的信道稀疏性

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145064

Irched Chafaa, E. Belmega, M. Debbah

{"title":"Exploiting Channel Sparsity for Beam Alignment in mmWave Systems via Exponential Learning","authors":"Irched Chafaa, E. Belmega, M. Debbah","doi":"10.1109/ICCWorkshops49005.2020.9145064","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145064","url":null,"abstract":"The large available spectrum in the millimeter wave (mmWave) band represents an attractive alternative for the congested sub-6 GHz spectrum. To overcome the difficult propagation conditions at high frequencies, directional communications via multiple antenna arrays and high-gain beams can be employed. Nevertheless, these beams need to be well aligned to reliably transmit data, which is a challenging task given the user mobility and the unpredictable changes of the wireless environment. In this paper, we propose a new distributed beam-alignment strategy relying on a single bit of feedback, which equals one if the signal-to-interference-plus-noise (SINR) reaches a predefined threshold. The novelty consists in a modified reward function, inspired from the sparse nature of the mmWave channel, coupled with the well-known exponential weights algorithm (EXP3). First, we show that our resulting adaptive policy comes with optimal theoretical guarantees in terms of sub-linear regret. Second, our numerical results demonstrate significant performance gains of our beam-alignment policy compared with the original EXP3 algorithm and other existing policies in a mmWave setting with user mobility.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132344841","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: 3

An Experimental Demonstration of over 100 Gbit/s OAM Multiplexing Transmission at a Distance of 100 m on 40 GHz Band 40 GHz频段100 m以上100gbit /s OAM复用传输的实验演示

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145429

Hirofumi Sasaki, Yasunori Yagi, Takayuki Yamada, Tomoki Semoto, Doohwan Lee

引用次数: 12

Decision Fusion for Power-Constrained Wireless Body Sensor Networks with Amplify-and-Forward Relays 功率受限的放大转发无线身体传感器网络决策融合

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145150

M. Al-jarrah, E. Alsusa, A. Al-Dweik

{"title":"Decision Fusion for Power-Constrained Wireless Body Sensor Networks with Amplify-and-Forward Relays","authors":"M. Al-jarrah, E. Alsusa, A. Al-Dweik","doi":"10.1109/ICCWorkshops49005.2020.9145150","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145150","url":null,"abstract":"This paper considers deriving the optimal decision fusion rule for cooperative wireless body sensor networks (WBSNs). The undertaken network model considers multiple sensors deployed to sense a certain binary biological phenomenon, and amplify-and-forward (AF) relays are deployed to assist the sensors to transmit their binary decisions to a remotely located fusion center (FC). The FC is responsible for processing the sensory decisions to provide a final global decision about the biological phenomenon. Since WBSN are subject to power constraints due to health issues and mobility enhancement, sensors and relays are assumed sharing a fixed power budget. The optimal fusion rule is derived using the likelihood ratio test while taking the AF relays and power constraint into account. Monte Carlo simulation is used to evaluate the detection and fusion error performance of the optimal rule, and compares them to the performance of two well-established suboptimal fusion rules for several operating conditions. The obtained results show that adding one AF relay for each sensor and using the optimal fusion rule can improve the probability of detection by about 5 dB for a wide range of signal-to-noise ratios (SNRs). Similarly, the fusion error probability may improve by about 10 dB. Moreover, the results show that the optimal rule significantly outperforms the suboptimal rules in several operating scenarios.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133857898","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 Novel 3D Wideband Geometry-Based Channel Model for 5G Massive MIMO Vehicle-to-Vehicle Communications in Urban Merging Areas 城市融合区5G大规模MIMO车对车通信的三维宽带几何信道模型

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145115

Lulu Gu, Nan Ma, Jianqiao Chen, Lingfeng Wang, Baoling Liu

{"title":"A Novel 3D Wideband Geometry-Based Channel Model for 5G Massive MIMO Vehicle-to-Vehicle Communications in Urban Merging Areas","authors":"Lulu Gu, Nan Ma, Jianqiao Chen, Lingfeng Wang, Baoling Liu","doi":"10.1109/ICCWorkshops49005.2020.9145115","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145115","url":null,"abstract":"In this paper, a novel three-dimensional (3D) wideband geometry-based stochastic model (GBSM) is developed for the fifth-Generation (5G) massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels in urban merging areas. Our proposed model consists of a semi-circle and multi-confocal semi-ellipsoids, which is the first GBSM that is capable of modeling the blocking effect of the sound barrier equipped in the merging area. Under the spherical wavefront assumption, we first derive the channel impulse responses (CIRs) of the proposed model in detail. Then we further generate the corresponding simulation model by using a ray selection algorithm with considering the influence of the sound barrier. Moreover, the impacts of the height of the sound barrier and the velocity of the vehicle on the statistical characteristics of the proposed model are discussed. Finally, our numerical and simulation results indicate that our proposed model can capture characteristics of massive MIMO V2V channels in a merging area, thereby demonstrating the efficiency of our proposed model.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122337074","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: 6

Graph Coloring Based Pilot Reuse among Interfering Users in Cell-Free Massive MIMO 无小区大规模MIMO干扰用户间基于图着色的导频复用

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145111

Wafa Haj Hmida, V. Meghdadi, A. Bouallègue, J. Cances

{"title":"Graph Coloring Based Pilot Reuse among Interfering Users in Cell-Free Massive MIMO","authors":"Wafa Haj Hmida, V. Meghdadi, A. Bouallègue, J. Cances","doi":"10.1109/ICCWorkshops49005.2020.9145111","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145111","url":null,"abstract":"In cell-free massive multiple-input-multiple-output (CF-mMIMO) systems, we spread a massive number of controllable access points out over a coverage area to simultaneously serve much smaller number of user equipments (UEs) over the same time/frequency resources. The major objective of coining such systems is to offer to all UEs a fair quality of service, avoiding the high interference for cell-edge UEs in cellular networks. However, this is degraded by the pilot contamination problem due to the inter-user interference (IUI). In addition, contrary to the centralized mMIMO, CF-mMIMO is characterized by a channel hardening not sufficiently pronounced, thus it will be appropriate to include downlink (DL) pilots to estimate the DL channel. In this paper, we evolve a graph coloring algorithm for DL pilot assignment in CF-mMIMO system (GC-PA-CFmMIMO) to mitigate the DL pilot contamination. Especially, by exploiting IUI in DL, a conflict or interference graph aims to model the potential interference among interfering users. Then, GC-PA-CF-mMIMO mitigates the potential IUI in DL by appointing adequate pilots among UEs in the conflict graph. The simulation results validate the proposed approach and reveal that, remarkably, it outperforms the DL pilot assignment methods based on prior approachs in terms of min-per-user DL net throughput.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124016916","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: 12

MIMO or SIMO for Wireless Communications with Binary-Array Receivers 用二进制阵列接收机进行无线通信的MIMO或SIMO

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145094

Lifu Liu, Y. Ma, R. Tafazolli

引用次数: 4

Next-Generation Networking and Edge Computing for Mixed Reality Real-Time Interactive Systems 混合现实实时交互系统的下一代网络和边缘计算

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145075

Susmit Shannigrahi, Spyridon Mastorakis, Francisco R. Ortega

{"title":"Next-Generation Networking and Edge Computing for Mixed Reality Real-Time Interactive Systems","authors":"Susmit Shannigrahi, Spyridon Mastorakis, Francisco R. Ortega","doi":"10.1109/ICCWorkshops49005.2020.9145075","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145075","url":null,"abstract":"With the proliferation of head-mounted displays, cloud computing platforms, and machine learning algorithms, the next-generation of AR/VR applications require research in several directions - more capable hardware, more proficient software and algorithms, and novel network protocols. While the first two problems have received considerable attention, the networking component is the least explored of these three. This paper discusses the networking challenges encountered by the AR/VR community that experiments with novel hardware, software, and computing platforms in a real-world environment. In this collaborative work, we discuss the current networking challenges both quantitatively (by analyzing AR/VR network interactions of head-mounted displays) and quantitatively (by distributing a targeted community survey among AR/VR researchers). We show that the cloud-provided network services are not ideal for the next-generation AR/VR applications. We then present a Named Data Networking (NDN) based framework that can address these challenges by offering a hybrid edge-cloud model for the execution of AR/VR computational tasks.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121388130","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: 17

Transmit Signal Design for One-Bit Dual-Function Radar-Communication System 位双功能雷达通信系统的发射信号设计

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145180

Ziyang Cheng, B. Liao, Zishu He

引用次数: 0

ActRec: A Wi-Fi-Based Human Activity Recognition System 基于wi - fi的人体活动识别系统

2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145361

A. Chelli, Muhammad Muaaz, M. Pätzold

{"title":"ActRec: A Wi-Fi-Based Human Activity Recognition System","authors":"A. Chelli, Muhammad Muaaz, M. Pätzold","doi":"10.1109/ICCWorkshops49005.2020.9145361","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145361","url":null,"abstract":"In this paper, we develop a Wi-Fi-based activity recognition system called ActRec, which can be used for the remote monitoring of elderly. ActRec comprises two parts: radio-frequency (RF) sensing and machine learning. In the RF sensing part, two laptops act as transmitter and receiver to record the channel transfer function of an indoor environment. This RF data is collected in the presence of seven human participants performing three activities: walking, falling, and sitting. The RF data containing the fingerprints of user activity is then pre-processed with various signal processing algorithms to reduce noise effects and to estimate the mean Doppler shift (MDS) of each data sample. We propose a feature extraction algorithm, which is applied to the MDS to obtain a feature vector used for activity classification. Moreover, we assess the activity recognition accuracy of three classification algorithms: K-nearest neighbors (KNN), naive Bayes, and decision tree. Our analysis reveals that the KNN, naive Bayes, and decision tree algorithms achieve an overall accuracy of 94%, 96.2%, and 98.9%, respectively.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128559075","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