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

Offloading Network Data Analytics Function to the Cloud with Minimum Cost and Maximum Utilization 以最小的成本和最大的利用率将网络数据分析功能卸载到云端

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148665

Nazih Salhab, Rana Rahim, R. Langar, R. Boutaba

{"title":"Offloading Network Data Analytics Function to the Cloud with Minimum Cost and Maximum Utilization","authors":"Nazih Salhab, Rana Rahim, R. Langar, R. Boutaba","doi":"10.1109/ICC40277.2020.9148665","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9148665","url":null,"abstract":"Cloud computing is being embraced more and more by telecommunication operators for on-demand access to computing resources. Knowing that 5G Core reference architecture is envisioned to be cloud-native and service-oriented, we propose, in this paper, offloading to the cloud, some of 5G delay-tolerant Network Functions and in particular the Network Data Analytics Function (NWDAF). The dynamic selection of cloud resources to serve off-loaded 5G-NWDAF, while incurring minimum cost and maximizing utilization of served next generation Node-Bs (gNBs) requires agility and automation. This paper introduces a framework to automate the selection process that satisfies resource demands while meeting two objectives, namely, cost minimization and utilization maximization. We first formulate the mapping of gNBs to 5G-NWDAF problem as an Integer Linear Program (ILP). Then, we propose an algorithm to solve it based on branch-cut-and-price technique combining all of branch-and-price, branch-and-cut and branch-and-bound. Results using pricing data from a public cloud provider (Google Cloud Platform), show that our proposal achieves important savings in cloud computing costs and reduction in execution time compared to other state-of-the-art frameworks.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"20 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":"116871071","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

Learning Centric Power Allocation for Edge Intelligence 以学习为中心的边缘智能功率分配

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148872

Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Poor

引用次数: 7

OAM-NFC: A Short-Range High Capacity Transmission Scheme OAM-NFC:一种短距离高容量传输方案

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148881

Runyu Lyu, Wenchi Cheng, Wei Zhang, F. Qin

{"title":"OAM-NFC: A Short-Range High Capacity Transmission Scheme","authors":"Runyu Lyu, Wenchi Cheng, Wei Zhang, F. Qin","doi":"10.1109/ICC40277.2020.9148881","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9148881","url":null,"abstract":"Due to its low energy consumption and high security, near field communication (NFC) has been extensively used in various short-range non-contact transmission scenarios such as the proximity payment and NFC entrance guard. However, the low data rate of NFC limits its application in high rate demanded scenarios, such as high-resolution fingerprint identification and streaming media transmission. In this paper, we propose the orbital angular momentum (OAM) based NFC system to significantly increase the capacity for NFC systems. With coils circularly equipped at the transmitter and receiver, OAM signals can be transmitted, received, and detected. Then, we analyze the mutual inductances between the transmit and receive coils to derive the OAM-NFC magneto-inductive channel matrix. Based on the channel matrix, we develop the OAM-NFC transmission and detection schemes for NFC multiplexing transmission. We also compare the capacity of our proposed OAM-NFC system with those of SISO NFC system and MIMO NFC system. Simulation results validate the feasibility and capacity enhancement of our proposed OAM-NFC system. How the number of the transceiver coils impacts the capacity of OAM-NFC system is also evaluated.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":"125851472","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

ICC 2020 Commentary

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/icc40277.2020.9148747

引用次数: 0

Computation Offloading in Energy Harvesting Systems via Continuous Deep Reinforcement Learning 基于连续深度强化学习的能量收集系统计算卸载

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148938

Jing Zhang, Jun Du, Chunxiao Jiang, Yuan Shen, Jian Wang

{"title":"Computation Offloading in Energy Harvesting Systems via Continuous Deep Reinforcement Learning","authors":"Jing Zhang, Jun Du, Chunxiao Jiang, Yuan Shen, Jian Wang","doi":"10.1109/ICC40277.2020.9148938","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9148938","url":null,"abstract":"As a promising technology to improve the computation experience for mobile devices, mobile edge computing (MEC) is becoming an emerging paradigm to meet the tremendous increasing computation demands. In this paper, a mobile edge computing system consisting of multiple mobile devices with energy harvesting and an edge server is considered. Specifically, multiple devices decide the offloading ratio and local computation capacity, which are both in continuous values. Each device equips a task load queue and energy harvesting, which increases the system dynamics and leads to the time-dependence of the optimal offloading decision. In order to minimize the sum cost of the execution time and energy consumption in the long-term, we develop a continuous control based deep reinforcement learning algorithm for computation offloading. Utilizing the actor-critic learning approach, we propose a centralized learning policy for each device. By incorporating the states of other devices with centralized learning, the proposed method learns to coordinate among all devices. Simulation results validate the effectiveness of our proposed algorithm, which demonstrates superior generalization ability and achieves a better performance compared with discrete decision based deep reinforcement learning methods.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"9 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":"128574358","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: 7

Tensor-computing-based Spectrum Usage Framework for 6G 基于张量计算的6G频谱使用框架

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149401

Wensheng Zhang, Jingxian Wu, Chengxiang Wang

{"title":"Tensor-computing-based Spectrum Usage Framework for 6G","authors":"Wensheng Zhang, Jingxian Wu, Chengxiang Wang","doi":"10.1109/ICC40277.2020.9149401","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149401","url":null,"abstract":"In this paper, we coin a new concept of tensor-computing, which is based on tensor theory and designed for future sixth generation (6G) wireless communication systems. Two different types of tensors, namely spectrum-tensor and system-tensor, are defined and analysed to develop a new spectrum usage framework for 6G. The spectrum-tensor encapsulates high dimensional spectrum big data into the format of a compact tensor. The system-tensor summarizes key system performance, including data rate, bandwidth, delay, spectral efficiency, and energy efficiency, into a multi-dimension tensor. The concepts of spectrum-tensor and system-tensor enable unique tensor-based computing and analysis with the help of high efficiency tensor-computing tools, such as tensor completion and tensor decomposition. In the new spectrum usage framework, a value-based spectrum fusion scheme is designed. The maximum system value is achieved under the constraint that the individual value of single user should be guaranteed. The proposed tensor-computing framework builds a bridge between 6G wireless functions with real-world high dimension data processing tools, such as TensorFlow and Tensor Processing Unit (TPU). The authors hope this paper will shine a beam of tensor theory in and open a new research field of tensor-computing for future 6G wireless communications.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":"128677139","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

Adaptive Multi-Beam Arrangement for Improving Throughput in an HTS Communication System 提高HTS通信系统吞吐量的自适应多波束配置

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148622

Masaki Takahashi, Y. Kawamoto, N. Kato, A. Miura, M. Toyoshima

{"title":"Adaptive Multi-Beam Arrangement for Improving Throughput in an HTS Communication System","authors":"Masaki Takahashi, Y. Kawamoto, N. Kato, A. Miura, M. Toyoshima","doi":"10.1109/ICC40277.2020.9148622","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9148622","url":null,"abstract":"In recent years, the expectations for high throughput satellite (HTS) have diversified based on rapid increase in traffic demands. However, the Ku-band and Ka-band utilized by HTS are growing tighter. It is necessary to utilize the limited frequency ranges efficiently and share resources with other communication systems. The digital beam forming (DBF), which has a high area flexibility for allocating power resources, is being developed to adapt to the diversification of communication applications. However, it remains unclear how multi-spot beam placement is related to throughput in an HTS communication system equipped with DBF. In this study, we attempted to determine how the distances between spot beams in the same frequency band and the distances between adjacent spot beams in different frequency bands are related to overall system throughput and to derive a multi-spot beam arrangement to improve overall system throughput. The main contributions of this study are the clarification of relationships between the positions of multi-spot beams and overall system throughput and the construction of a novel mathematical model to derive multi-spot beam arrangements to enhance overall throughput. The effectiveness of our proposal is evaluated through numerical analysis.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"3 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":"129321202","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: 10

Blockchain Based Zero-Knowledge Proof of Location in IoT 物联网中基于b区块链的零知识位置证明

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149366

Wei Wu, Erwu Liu, Xinglin Gong, Rui Wang

引用次数: 10

A Reliable Semi-Supervised Intrusion Detection Model: One Year of Network Traffic Anomalies 一种可靠的半监督入侵检测模型:一年的网络流量异常

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148916

E. Viegas, A. Santin, V. Cogo, Vilmar Abreu

引用次数: 20

Successive Sub-Array Activation for Massive MIMO-NOMA Networks 大规模MIMO-NOMA网络的连续子阵列激活

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149116

A. S. D. Sena, D. B. D. Costa, Z. Ding, P. Nardelli, U. Dias, C. Papadias

引用次数: 0