{"title":"SandBoxer: A Self-Contained Sensor Architecture for Sandboxing the Industrial Internet of Things","authors":"Galal Hassan, A. Rashwan, H. Hassanein","doi":"10.1109/ICCW.2019.8756997","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756997","url":null,"abstract":"The Industrial Internet-of-Things (IIoT) has gained significant interest from both the research and industry communities. Such interest came with a vision towards enabling automation and intelligence for futuristic versions of our day to day devices. However, such a vision demands the need for accelerated research and development of IIoT systems, in which sensor integration, due to their diversity, impose a significant roadblock. Such roadblocks are embodied in both the cost and time to develop an IIoT platform, imposing limits on the innovation of sensor manufacturers, as a result of the demand to maintain interface compatibility for seamless integration and low development costs. In this paper, we propose an IIoT system architecture (SandBoxer) tailored for sensor integration, that utilizes a collaborative set of efforts from various technologies and research fields. The paper introduces the concept of \"development-sandboxing\" as a viable choice towards building the foundation for enabling true-plug-and-play IIoT. We start by outlining the key characteristics desired to create an architecture that catalyzes IIoT research and development. We then present our vision of the architecture through the use of a sensor-hosted EEPROM and scripting to \"sandbox\" the sensors, which in turn accelerates sensor integration for developers and creates a broader innovation path for sensor manufacturers. We also discuss multiple design alternative, challenges, and use cases in both the research and industry.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126468908","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}
Shuhei Saito, Hirofumi Suganuma, K. Ogawa, F. Maehara
{"title":"Performance Analysis of OAM-MIMO using SIC in the Presence of Misalignment of Beam Axis","authors":"Shuhei Saito, Hirofumi Suganuma, K. Ogawa, F. Maehara","doi":"10.1109/ICCW.2019.8756747","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756747","url":null,"abstract":"This paper proposes a method that employs successive interference cancellation (SIC) to further enhance the capacity of uniform circular array (UCA)-based orbital angular momentum (OAM)-MIMO systems. The main feature of the proposed method is to stabilize the performance of UCA-based OAM-MIMO systems by conducting SIC based on the results of parallel interference cancellation (PIC), which exploits the additional full space diversity benefit. The development of the proposed approach is motivated by the feature that large differences in the received power of different UCAs are advantageous to SIC. Moreover, the impact of the misalignment of the beam axis on the effectiveness of the proposed method is also investigated by considering a more realistic scenario. Our numerical results show that the effectiveness of the proposed method increases with increasing number of UCAs, and its advantage is retained within a certain amount of the misalignment of the beam axis.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127056267","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}
{"title":"Radio Resource Scheduling for 5G NR via Deep Deterministic Policy Gradient","authors":"Sheng-Chia Tseng, Zhenghao Liu, Yen-Cheng Chou, Chih-Wei Huang","doi":"10.1109/ICCW.2019.8757174","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8757174","url":null,"abstract":"The fifth generation (5G) wireless system plays a crucial role to realize future network applications with diverse services requirements. The 3rd Generation Partnership Project (3GPP) proposed 5G New Radio (NR) specifications with significantly greater flexibility on configurations and procedures to facilitate a more efficient and agile radio access network (RAN). At the same time, the complexity of resource management increases, and the advantage of machine learning techniques are worth studying. In this article, we investigate the radio resource scheduling issue in the 5G RAN. Through a modularized deep deterministic policy gradient (DDPG) architecture and specifically defined action as a combination of scheduling algorithms Through specifically defined action as a combination of scheduling algorithms, the proposed method is efficient to train and performing well. Favorable results are observed compared with conventional scheduling algorithms. The proposed architecture applies to other radio resource management problems with similar characteristic.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133003695","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}
Loïc Canonne-Velasquez, A. Haghighat, Prasanna Herath
{"title":"Multi-Cell IDMA NOMA Performance in NR Deployment","authors":"Loïc Canonne-Velasquez, A. Haghighat, Prasanna Herath","doi":"10.1109/ICCW.2019.8756860","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756860","url":null,"abstract":"Non-Orthogonal Multiple Access (NOMA) is being considered for the Fifth Generation (5G) of mobile communications systems, also known as New Radio (NR). Schemes based on low code rate implementation, such as Interleave Division Multiple Access (IDMA) are among the studied schemes for NOMA transmission in NR. It has been shown that NOMA schemes based on low code rate implementation are poised to offer a robust performance in highly interfered scenarios. The performance of NOMA in single cell deployment has been well studied; however, most studies on NOMA have not considered the performance in a practical multi-cell NR deployment. In this paper, we present our system-level performance evaluation results of an IDMA-based NOMA transmission in a typical NR deployment intended for use in massive Machine Type Communication (mMTC) scenarios. In our evaluation, we evaluate the packet dropping rate of the system to demonstrate the multiplexing capability of NOMA in the presence of multi-cell interference.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378739","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}
Wenqiang Yi, Yuanwei Liu, M. Elkashlan, A. Nallanathan
{"title":"Modeling and Coverage Analysis of Downlink UAV Networks with MmWave Communications","authors":"Wenqiang Yi, Yuanwei Liu, M. Elkashlan, A. Nallanathan","doi":"10.1109/ICCW.2019.8756767","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756767","url":null,"abstract":"In order to satisfy the requirement of high throughput in most unmanned aerial vehicle (UAV) applications, the potential of integrating millimeter wave (mmWave) communications into UAV networks is explored in this paper. A tractable three-dimensional (3D) spatial model is proposed for evaluating the average downlink performance of UAV networks at mmWave bands, where the locations of UAVs and users are randomly distributed with the aid of a Poisson cluster process. Moreover, a typical 3D antenna model with the uniform planar array is deployed at all UAVs to examine the impact of both azimuth and elevation angles. Based on this framework and an ordered user selection scheme, closed-form approximation equations of coverage probabilities are derived. In a noise-limited scenario, an exact expression is provided, which theoretically demonstrates that the coverage performance can be enhanced by increasing the number of antenna elements. Regarding the altitude of UAVs, there exists an optimal height for maximizing the evaluated coverage probability. Numerical results illustrate that non-line-of-sight transmissions caused by obstacles have negligible effects on the considered system.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133728962","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}
{"title":"Deep-Learning-Based Resource Allocation for Multi-Band Communications in CubeSat Networks","authors":"Shuai Nie, J. Jornet, I. Akyildiz","doi":"10.1109/ICCW.2019.8757157","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8757157","url":null,"abstract":"CubeSats, a type of miniaturized satellites with the benefits of low cost and short deployment cycle, are envisioned as a promising solution for future satellite communication networks. Currently, CubeSats communicate only with ground stations under limited spectrum resources and at low data rates, whereas with growing launches of CubeSats and more diverse services expected every year, novel communication techniques and resource allocation schemes should be investigated. In this paper, a multi-objective resource allocation strategy is designed based on deep learning algorithms for autonomous operation in CubeSats across millimeter wave (60–300 GHz) and Terahertz band (300 GHz-1 THz) frequencies with the utilization of reconfigurable plasmonic reflectarrays. Simulation results demonstrate the inter-satellite links can achieve multi-gigabits-per-second throughput and ground-to-satellite links with more than 10 times of capacity enhancements in realistic channel conditions.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133801095","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}
S. Xing, Xiuqiang Xu, Yan Chen, Yi Wang, Liqing Zhang
{"title":"Advanced Grant-Free Transmission for Small Packets URLLC Services","authors":"S. Xing, Xiuqiang Xu, Yan Chen, Yi Wang, Liqing Zhang","doi":"10.1109/ICCW.2019.8757186","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8757186","url":null,"abstract":"The next generation new radio (NR) network, or the fifth generation (5G) system, will be able to enhance significantly the current Long Term Evolution (LTE), or the fourth generation (4G) network from many perspectives and initiations. One of such initiations is to support Ultra Reliable and Low Latency Communication (URLLC) services, especially to support the transmission of small but critical control related packets with periodic and aperiodic traffic patterns with very stringent latency (e.g, less than 1 ms)and reliability (up to 99.999% or 99.9999%). Grant-free transmission is one of the feasible and promising technology to meet such requirement especially for uplink transmissions. While some basic grant-free features have been proposed and standardized in NR Release 15, there are still space to improve. In this paper, three enhanced features for grant-free transmission are proposed and carefully evaluated via system level simulations. It can be demonstrated from the evaluation results that the proposed grant-free transmission schemes are able to work together and accomplish the latency and the reliability requirements for the URLLC services, showing significant gains over the basic grant-free transmission design.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126332226","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}
{"title":"Contact-Free In-Home Health Monitoring System with Commodity Wi-Fi","authors":"Zhihong He, Lingchao Guo, Zhaoming Lu, X. Wen, Wei Zheng, Shuang Zhou","doi":"10.1109/ICCW.2019.8756823","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756823","url":null,"abstract":"Wi-Fi-based in-home health care has attracted much attention over the past years. In this paper, leveraging the complementary amplitude and phase data of Wi-Fi Channel State Information (CSI), we propose a contact-free elderly-focused health monitoring system to simultaneously detect the human presence and monitor the detailed respiration status. By utilizing the Naive Bayes classifier, the proposed system could detect human presence based on the Doppler spectrum. To obtain detailed respiration status, we define the Respiration-to-Noise Ratio (RNR) to select the most sensitive data streams. For detecting and distinguishing abnormal respiratory patterns, we extend the peak detection method and leverage machine learning based classifier in respiration apnea period. We carry out extensive experiments and the results demonstrate the effectiveness of our approach to health monitoring.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121051307","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}
{"title":"Mobility Prediction Method to Optimize Resource Allocation in Heterogeneous Networks","authors":"Songqi Tian, Xi Li, Hong Ji, Heli Zhang","doi":"10.1109/ICCW.2019.8756817","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8756817","url":null,"abstract":"With the explosive development of wireless communication technologies and popularization of smart phones, mobile data traffic grows rapidly. The 5G heterogeneous networks constituted by macro cells and femtocells are widely researched as a promising approach to expand the network capability. However, for the cases of moving user equipments (UEs), this flexible and complicated networking method may lead to frequent handover and unsatisfied resource assignment. In this paper, we propose a mobility prediction scheme to optimize the resource allocation in heterogeneous networks based on order-2 Hidden Markov Model (HMM). With the prediction result of the possible next location of UE, the target cell may prepare necessary resource according to the service requirements. The user's historical movement trajectory is clustered into several groups to represent its main activity states. The user's service request preference in these locations are analyzed accordingly. Then, we build the mobility prediction model with order-2 HMM. Corresponding required resources are also analyzed and allocated in advance. The simulation results show that the proposed scheme has a good performance in prediction accuracy, drop rate and resource utility for the heterogeneous networks.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123676562","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}
K. Guan, Danping He, B. Ai, Bile Peng, A. Hrovat, Junhyeong Kim, Z. Zhong, T. Kürner
{"title":"Millimeter-Wave Communications for Smart Rail Mobility: From Channel Modeling to Prototyping","authors":"K. Guan, Danping He, B. Ai, Bile Peng, A. Hrovat, Junhyeong Kim, Z. Zhong, T. Kürner","doi":"10.1109/ICCW.2019.8757021","DOIUrl":"https://doi.org/10.1109/ICCW.2019.8757021","url":null,"abstract":"In this paper, we present an integration solution from channel modeling to prototyping, to realize millimeter-wave (mmWave) communications for smart rail mobility. In order to involve the railway features in the channel models, two mmWave channel models are established based on ray-tracing simulations in realistic railway scenarios. Moreover, the challenges raised by mmWave directional network under high mobility is overcome by our solutions concerning handover scheme, random access procedure, and beamforming strategies. By integrating these key enabling technologies, we prototype the mobile hotspot network (MHN) system which realizes 1.25 Gbps downlink data throughput in a subway line with the train speed of 80 km/h.","PeriodicalId":426086,"journal":{"name":"2019 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125253722","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}