ICC 2020 - 2020 IEEE International Conference on Communications (ICC)最新文献_第4页

A Blockchain-Based Decentralized Composition Solution for IoT Services 基于区块链的物联网服务分散式组合解决方案

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149031

I. A. Ridhawi, M. Aloqaily, A. Boukerche, Y. Jararweh

{"title":"A Blockchain-Based Decentralized Composition Solution for IoT Services","authors":"I. A. Ridhawi, M. Aloqaily, A. Boukerche, Y. Jararweh","doi":"10.1109/ICC40277.2020.9149031","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149031","url":null,"abstract":"Diversified Internet of Things services are becoming more complex and strictly user-defined. Traditional cloud solutions proved to be both costly in terms of resources and time efficiency. To overcome such a burden, researchers developed fog solutions for faster service responsiveness. Fog-to-Fog communication and cooperation was then introduced to compose services on-the-go for user-specific requests with the aid of mobile edge devices. This paper introduces a blockchain-based decentralized service composition solution for complex multimedia service delivery to cloud subscribers. The proposed work dynamically creates user-defined services without requiring any intermediary service or network provider entities to authenticate and deliver composite services. The composition process uses a reinforcement learning technique to construct secure and reliable composition paths. Participants are rewarded by cloud and fog entities for solving complex composition processes. Simulation results conducted on the system show that by adapting the proposed technique, fog and cloud entities require less resources and reduced power usage with increased service delivery success rates to cloud subscribers.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"49 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":"124757990","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: 30

Malware Classification Method Based on Word Vector of Bytes and Multilayer Perception 基于字向量和多层感知的恶意软件分类方法

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149143

Yanchen Qiao, Bin Zhang, Weizhe Zhang

引用次数: 6

A Lightweight Attribute Based Encryption Scheme with Constant Size Ciphertext for Internet of Things 一种物联网中基于轻量级属性的恒大小密文加密方案

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149294

Wenti Yang, Ruimiao Wang, Zhitao Guan, Longfei Wu, Xiaojiang Du, M. Guizani

引用次数: 11

Regulating Molecular Interactions Using Terahertz Communication 利用太赫兹通信调节分子相互作用

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148708

Hadeel Elayan, A. Eckford, R. Adve

{"title":"Regulating Molecular Interactions Using Terahertz Communication","authors":"Hadeel Elayan, A. Eckford, R. Adve","doi":"10.1109/ICC40277.2020.9148708","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9148708","url":null,"abstract":"Nanosized devices operating inside the human body open up new prospects in the healthcare domain. On the one hand, molecular communication enables biological nanomachines to communicate by exchanging molecules and performing application-dependent tasks. On the other hand, electromagnetic (EM) nano-communication points to the Terahertz Band (0.1-10 THz) as the frequency range for communication among nano-biosensors. In this paper, we propose a stimuli-responsive paradigm which integrates EM and molecular communication by stimulating proteins in the human body. Our model capitalizes on the fact that proteins act as an interface between both mediums, in which triggering proteins by THz waves changes their conformational structure. This allows biochemical and biomechanical activities to be carried out in a controlled manner. The stochasticity involved in the folding and unfolding of proteins is modeled using a Markov chain. A closed form expression for the mutual information rate by which proteins receive information is derived and maximized to find the capacity. By illustrating the information rates theoretically achievable, we hope to spark research into the EM-based control of protein networks.","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":"130392590","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

Robust Deep Learning for Wireless Network Optimization 鲁棒深度学习无线网络优化

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149445

Shuai Zhang, Bo Yin, Suyang Wang, Y. Cheng

{"title":"Robust Deep Learning for Wireless Network Optimization","authors":"Shuai Zhang, Bo Yin, Suyang Wang, Y. Cheng","doi":"10.1109/ICC40277.2020.9149445","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149445","url":null,"abstract":"Wireless optimization involves repeatedly solving difficult optimization problems, and data-driven deep learning techniques have great promise to alleviate this issue through its pattern matching capability: past optimal solutions can be used as the training data in a supervised learning paradigm so that the neural network can generate an approximate solution using a fraction of the computational cost, due to its high representing power and parallel implementation. However, making this approach practical in networking scenarios requires careful, domain-specific consideration, currently lacking in similar works. In this paper, we use deep learning in a wireless network scheduling and routing to predict if subsets of the network links are going to be used, so that the effective problem scale is reduced. A real-world concern is the varying data importance: training samples are not equally important due to class imbalance or different label quality. To compensate for this fact, we develop an adaptive sample weighting scheme which dynamically weights the batch samples in the training process. In addition, we design a novel loss function that uses additional network-layer feature information to improve the solution quality. We also discuss a post-processing step that gives a good threshold value to balance the trade-off between prediction quality and problem scale reduction. By numerical simulations, we demonstrate that these measures improve both the prediction quality and scale reduction when training from data of varied importance.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":"126890431","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

Service Completion Probability Enhancement and Fairness for SUs using Hybrid Mode CRNs 基于混合模式crn的服务完成概率增强与服务公平性

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149112

A. Khan, G. Abbas, Z. Abbas, M. Waqas, Shanshan Tu, Alamgir Naushad

{"title":"Service Completion Probability Enhancement and Fairness for SUs using Hybrid Mode CRNs","authors":"A. Khan, G. Abbas, Z. Abbas, M. Waqas, Shanshan Tu, Alamgir Naushad","doi":"10.1109/ICC40277.2020.9149112","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149112","url":null,"abstract":"Cognitive radio networks (CRNs) promise to accommodate billions of Internet of Things (IoT) devices within scarce spectrum by allowing secondary users (SUs) to use licensed spectrum. However, the devices need uninterruptible communication, which the conventional CRNs cannot fulfill. This necessitates successful service completion probability (SSCP) enhancement in CRNs. Further, maintaining fairness among SUs, in terms of availing network services, is a matter of consideration for ensuring the network services to be fairly available to all SUs. In this paper, we propose a hybrid CRN (HCRN) scheme to analyze two problems. Firstly, we investigate SSCP enhancement by utilizing hybrid underlay-interweave mode of CRNs and propose a dynamic channel reservation algorithm to support interrupted users. Secondly, we propose a multi-attributes based fairness-driven channel determination (MFD) algorithm for channel interruption, which ensures fairness among SUs in availing network services. Furthermore, continuous-time Markov chain is used for modelling, and mathematical formulations are derived for SSCP. The proposed scheme is evaluated under various network traffic loads and channel failure rates. Numerical results show significant improvement in SSCP and reduction in forced termination rate as compared to the benchmark. Similarly, the MFD algorithm brings a prominent improvement in fairness.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","volume":"19 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":"126897869","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

Time-Sensitive Networking for 5G Fronthaul Networks 5G前传网络的时间敏感网络

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149161

Sushmit Bhattacharjee, Robert Schmidt, Kostas Katsalis, Chia-Yu Chang, T. Bauschert, N. Nikaein

引用次数: 10

Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios 设备到设备缓存场景中内容流行度和大小的联合考虑

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149356

G. Kollias, A. Antonopoulos

{"title":"Joint Consideration of Content Popularity and Size in Device-to-Device Caching Scenarios","authors":"G. Kollias, A. Antonopoulos","doi":"10.1109/ICC40277.2020.9149356","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149356","url":null,"abstract":"Content caching has been considered by both academia and industry as an efficient solution to tackle the problem of the back-haul becoming the bottleneck in the service of users in future heterogeneous cellular networks. Most of the related caching-oriented studies are based on the content popularity, overlooking the impact of content size on their analysis. In this context, this work studies content caching in an environment where cellular users are equipped with cache memories. In particular, we formulate the content caching as an optimization problem, where the objective is to minimize the average download latency of popular videos through self-caching and device-to-device (D2D) caching and, consequently, increase the network throughput. In addition, in order to solve this problem in real-time scenarios, we introduce a low-complexity utility-based algorithm, which accounts for parameters such as the size and the popularity of the requested contents, as well as the density of the end users. Finally, we provide extensive simulation results that validate our analysis and prove that our innovative scheme outperforms other existing solutions.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":"123537197","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

Enhancing CoAP Group Communication to Support mMTC Over Satellite Networks 增强CoAP组通信以支持卫星网络上的mMTC

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9148784

R. Soua, M. Palattella, André Stemper, T. Engel

引用次数: 0

LEO Satellite Communications with Massive MIMO 大规模MIMO的LEO卫星通信

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) Pub Date : 2020-06-01 DOI: 10.1109/ICC40277.2020.9149121

Li You, Ke-Xin Li, Jiaheng Wang, Xiqi Gao, X. Xia, Björn Otterstenx

{"title":"LEO Satellite Communications with Massive MIMO","authors":"Li You, Ke-Xin Li, Jiaheng Wang, Xiqi Gao, X. Xia, Björn Otterstenx","doi":"10.1109/ICC40277.2020.9149121","DOIUrl":"https://doi.org/10.1109/ICC40277.2020.9149121","url":null,"abstract":"Low earth orbit (LEO) satellite communications are expected to be incorporated in future wireless networks to provide global wireless access with enhanced data rates. Massive multiple-input multiple-output (MIMO) techniques, though widely used in terrestrial communication systems, have not been applied to LEO satellite communication systems. In this paper, we propose a massive MIMO downlink (DL) transmission scheme with full frequency reuse (FFR) for LEO satellite communication systems by exploiting statistical channel state information (sCSI) at the transmitter. We first establish a massive MIMO channel model for LEO satellite communications and propose Doppler and time delay compensation techniques at user terminals (UTs). Then, we develop a closed-form low-complexity sCSI based DL precoder by maximizing the average signal-to-leakage-plus-noise ratio (ASLNR). Motivated by the DL ASLNR upper bound, we further propose a space angle based user grouping algorithm to schedule the served UTs into different groups, where each group of UTs use the same time and frequency resource. Numerical results demonstrate that the proposed massive MIMO transmission scheme with FFR significantly enhances the data rate of LEO satellite communication systems.","PeriodicalId":106560,"journal":{"name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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":"114313680","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: 18