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An Analysis of Multicast Inefficiencies in Multi-Tenant MEC Infrastructures for 5G Networks 5G网络多租户MEC基础设施多播低效分析
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145140
Steve Eager, Antonio Matencio-Escolar, J. A. Calero
{"title":"An Analysis of Multicast Inefficiencies in Multi-Tenant MEC Infrastructures for 5G Networks","authors":"Steve Eager, Antonio Matencio-Escolar, J. A. Calero","doi":"10.1109/ICCWorkshops49005.2020.9145140","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145140","url":null,"abstract":"Communication and data networks require the efficient and timely delivery of packets with little or negligible latency in the transmission. This is especially important of 5G mobile networks where mission critical communications and applications are reliant on fast and efficient communications. It has long been understood that using multicasting, as a method of sending multiple packets simultaneously, over a medium will improve the efficiency of a communication. This is achieved by only transmitting multicast packets once to multiple recipients who will then receive the (multicast) packets. This paper identifies the inherent inefficiencies of multicasting when having to encapsulate packets in overlay networks such as those in the Multi-Access/Mobile-Edge to Core 5G infrastructure networks and demonstrate such inefficiencies empirically","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":"130949296","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
Ghost Image Due to mmWave Radar Interference: Experiment, Mitigation and Leverage 毫米波雷达干扰引起的鬼像:实验、缓解和利用
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145047
Yawen Fan, Jingchao Bao, Kai Wu, Husheng Li
{"title":"Ghost Image Due to mmWave Radar Interference: Experiment, Mitigation and Leverage","authors":"Yawen Fan, Jingchao Bao, Kai Wu, Husheng Li","doi":"10.1109/ICCWorkshops49005.2020.9145047","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145047","url":null,"abstract":"Millimeter wave (mmWave) radar is becoming a major instrument for the ranging, Doppler and imaging of environment in various applications such as autonomous driving and unmanned aerial vehicles. As substantially more radar devices are employed in applications, the interference among different radar transceivers becomes a severe problem, which may bring substantial damages to the applications of radar. One of these impacts is the ghost image caused by the interference, which results in a fake target. In this paper, experiments are carried out to demonstrate the existence of ghost image, based on 77GHz mmWave automobile radar. Detailed analysis is carried out based on the experimental measurements for disclosing the mechanism of interference and the properties of the corresponding ghost image. The prominent features of ghost image include statistically narrow frequency spread, abnormal Doppler estimation and possible negative distance. Based on the these features, systematic approaches are introduced to mitigate the interference induced ghost images. Meanwhile, schemes are proposed to leverage the ghost images for localization and communications, instead of merely removing them.","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":"130207991","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
Reliability of UAV Connectivity in Dual-MNO Networks: A Performance Measurement Campaign 双mno网络中无人机连接可靠性:一项性能测量活动
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145477
Joonas Säe, Richard Wiren, Juhani Kauppi, J. Torsner, S. Andreev, M. Valkama
{"title":"Reliability of UAV Connectivity in Dual-MNO Networks: A Performance Measurement Campaign","authors":"Joonas Säe, Richard Wiren, Juhani Kauppi, J. Torsner, S. Andreev, M. Valkama","doi":"10.1109/ICCWorkshops49005.2020.9145477","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145477","url":null,"abstract":"Unmanned aerial vehicles (UAVs) can be controlled in beyond-visual-line-of-sight use cases via today's commercial mobile network operator (MNO) deployments, such as those based on long-term evolution (LTE) technology. In order to improve the reliability of UAV connectivity, especially in more critical use cases, several MNO networks may be utilized simultaneously. To evaluate this option in typical environments, performance measurements were conducted over two public LTE networks in urban, suburban, and rural areas in/near the city of Tampere, Finland, and at various UAV flight altitudes: 1 m, 15-20 m, and 50 m above the ground. The results indicate that there are distinct benefits in utilizing more than one MNO for improved levels of connection reliability.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"15 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":"121964628","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
MIMO Full Duplex Radios with Deep Learning MIMO全双工无线电与深度学习
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145036
Yitao Chen, Rajesh K. Mishra, D. Schwartz, S. Vishwanath
{"title":"MIMO Full Duplex Radios with Deep Learning","authors":"Yitao Chen, Rajesh K. Mishra, D. Schwartz, S. Vishwanath","doi":"10.1109/ICCWorkshops49005.2020.9145036","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145036","url":null,"abstract":"This paper presents a novel design for self-interference (SI) cancellation in multiple-input multiple-output (MIMO) full duplex radios by using a cascaded neural network structure. Our approach exploits the spatial correlation among the transmit and receive antennas in multi antenna systems to reduce the complexity of echo cancellation filters at the receivers. Specifically, we propose a method in which, instead of using a cancellation filter for each echo channel, we decompose it into a common filter for a single aggressor going into a number of victims each having their own secondary filters, thus, reducing the individual filter complexity. In fact, our method provides significant complexity reduction with minimal degradation in performance compared to the naive approach of replicating the single-input single-output (SISO) design into the MIMO system. We further explain the theoretical framework for functioning of neural network for echo cancellation in both SISO and MIMO systems. We show that using a one layer Rectified Linear unit (ReLU) neural network to solve the SISO SI problem is theoretically optimal. We evaluate our approach on a series of simulated correlated channels to show case complexity reduction.","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":"115993691","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
Machine Learning Based Localization of LoRaWAN Devices via Inter-Technology Knowledge Transfer 基于机器学习的跨技术知识转移LoRaWAN设备定位
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145033
Andrea Pimpinella, A. Redondi, M. Nicoli, M. Cesana
{"title":"Machine Learning Based Localization of LoRaWAN Devices via Inter-Technology Knowledge Transfer","authors":"Andrea Pimpinella, A. Redondi, M. Nicoli, M. Cesana","doi":"10.1109/ICCWorkshops49005.2020.9145033","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145033","url":null,"abstract":"Being able to localize smart devices in Low Power Wide Area Networks (LPWANs) is of primary importance in many Internet of Things applications, including Smart Cities. When GPS positioning is not available, a common strategy is to employ fingerprinting localization, which leverages Received Signal Strength (RSS) radio maps constructed offline during a calibration phase. Often, radio maps can then be interpolated to increase the spatial resolution thus improving localization accuracy. We consider different LPWAN technologies coexisting in the same area, and we explore the possibility of augmenting the localization performance by transferring assistance data for RSS map calibration from one technology to the other. We leverage RSS samples from two real-life LPWANs, namely Wireless M-Bus and LoRaWAN, and we propose several methods for localizing devices through knowledge transfer, comparing them to classical techniques based on simple interpolation within the same technology. Results show that transfer-based approaches are able to improve the localization accuracy up to 12% compared to simple interpolation based on single technology and 16% compared to the case where no interpolation strategy is applied.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"57 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":"121246603","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
Ultrasonic Index Modulation and Multiple Access for Intra-Body Networks 体内网络的超声索引调制和多址
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145074
Qianqian Wang, Q. Guan, Julian Cheng, Biyun Ma
{"title":"Ultrasonic Index Modulation and Multiple Access for Intra-Body Networks","authors":"Qianqian Wang, Q. Guan, Julian Cheng, Biyun Ma","doi":"10.1109/ICCWorkshops49005.2020.9145074","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145074","url":null,"abstract":"Intra-body communication (IBC) plays an significant role in future health care. This paper proposes a pulse-based ultrasonic index modulation (UsIM) to enable high data rate and low power IBCs. Two grouping-based UsIM strategies with a maximum likelihood receiver, including ultrasonic grouped-chip index modulation (UsCIM) and ultrasonic chip-group index modulation (UsGIM), are proposed to implement multiple access for intra-body networks. UsCIM uses the chip indices in a group to convey additional information bits for a user, while UsGIM uses the group indices and each user occupies one chip in a group. The performance of the proposed system in terms of bit-error rate (BER), throughput, and energy efficiency are analyzed. Both the analysis and simulation results reveal that UsGIM achieves a lower BER than UsCIM with channel fading and multipath effect. Both UsCIM and UsGIM achieve higher throughput and lower energy consumption than the existing IBC system, which is important for energy-constrained implanted systems.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"14 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":"121269559","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
Continuous Incentive Mechanism for D2D Content sharing: A Deep Reinforcement Learning Approach D2D内容共享的持续激励机制:一种深度强化学习方法
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145226
Min Chen, Haibo Wang, Xiaoli Chu
{"title":"Continuous Incentive Mechanism for D2D Content sharing: A Deep Reinforcement Learning Approach","authors":"Min Chen, Haibo Wang, Xiaoli Chu","doi":"10.1109/ICCWorkshops49005.2020.9145226","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145226","url":null,"abstract":"Device-to-device (D2D) communication-based content sharing is regarded as a promising way to offload traffic from cellular networks, where incentive mechanisms are required to motivate mobile user equipment (UE) to participate in content sharing. In this paper, we firstly propose an improved scoring mechanism to provide continuous incentive and then study the impact of historical behavior on continuous motivation. Furthermore, to maintain continuous motivation while keeping the service quality of content sharing, we investigate the weights setting of historical behavior and current status in scores calculating, which is formulated as a stochastic dynamic programming (SDP) problem due to the long-term performance and the randomness of the network. To tackle the curse of dimensionality, a deep reinforcement learning (DRL) algorithm is employed for optimization. Simulation results show that with DRL, the mechanism is effective in motivating content-sharing continuously, improving the quality of service (QoS), and cutting down the sharing cost as well.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"12 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":"126727128","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
Resource Allocation for Power-Efficient IRS-Assisted UAV Communications 高效功率irs辅助无人机通信的资源分配
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145224
Yuanxin Cai, Zhiqiang Wei, Shaokang Hu, D. W. K. Ng, Jinhong Yuan
{"title":"Resource Allocation for Power-Efficient IRS-Assisted UAV Communications","authors":"Yuanxin Cai, Zhiqiang Wei, Shaokang Hu, D. W. K. Ng, Jinhong Yuan","doi":"10.1109/ICCWorkshops49005.2020.9145224","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145224","url":null,"abstract":"In this paper, an intelligent reflection surface (IRS) is introduced to assist an unmanned aerial vehicle (UAV) for serving multiple ground users. We aim to minimize the average total power consumption of the system by jointly optimizing the resource allocation strategy, UAV's trajectory and velocity, as well as phase control at the IRS. To this end, a non-convex optimization problem is formulated taking into account the individual minimum data rate requirement and the limited energy budget of the IRS. The problem is generally intractable. As a compromise approach, we propose an alternating optimization algorithm to obtain an effective suboptimal solution. Numerical results evaluate that the enormous power saving can be achieved by the proposed algorithm for different energy budgets of the IRS compared with other baseline schemes.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"25 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":"121397470","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: 43
Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications 飞行学习:基于rnn的无人机通信在线吞吐量预测框架
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145220
Yuxuan Jiang, Koichi Nihei, Junnan Li, H. Yoshida, Dai Kanetomo
{"title":"Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications","authors":"Yuxuan Jiang, Koichi Nihei, Junnan Li, H. Yoshida, Dai Kanetomo","doi":"10.1109/ICCWorkshops49005.2020.9145220","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145220","url":null,"abstract":"This paper presents learning on the fly (LoF), a two-stage online framework to predict the achievable application-layer throughput in the downlink data communication from an unmanned aerial vehicle (UAV) to a ground access point. LoF is based on a recurrent neural network (RNN). While the UAV is flying, LoF trains the RNN with constantly observed throughput and in the meantime, makes throughput predictions for the near future. Both the training and prediction can concurrently run on a non-GPU device at the network edge (e.g., on the UAV). To this end, we design LoF with a lightweight RNN architecture and a customized training process by weighted sampling on a sliding window. We implement LoF using PyTorch. Numerical results show that LoF is able to achieve an average prediction accuracy of 87.65%, outperforming existing approaches in the literature.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"84 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":"127850021","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: 4
On 5G Support of Cross-Border UAV Operations 5G对无人机跨界作战的支持
2020 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2020-06-01 DOI: 10.1109/ICCWorkshops49005.2020.9145262
Lechosław Tomaszewski, Robert Kołakowski, Pawel Korzec
{"title":"On 5G Support of Cross-Border UAV Operations","authors":"Lechosław Tomaszewski, Robert Kołakowski, Pawel Korzec","doi":"10.1109/ICCWorkshops49005.2020.9145262","DOIUrl":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145262","url":null,"abstract":"The paper is devoted to 5G System (5GS) architecture enhancements enabling cross-border Unmanned Aerial Vehicle (UAV) operations. The proposed architecture provides integration of 5GS with UAV Traffic Management (UTM) system, incorporates both Home Routed (HR) and Local Breakout (LBO) roaming scenarios and describes specific UAV service enablers. The requirements relevant to ensuring safe and secure cross-border UAV operations have been identified and the implementation of two typical roaming scenarios within the outlined architecture along with corresponding procedures and interactions between the entities have been presented. Further research, development and standardization directions have been also outlined.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"65 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":"127337547","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: 9
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