2020 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第2页

Identifying Cell Sector Clusters Using Massive Mobile Usage Records 使用大量移动使用记录识别蜂窝扇区集群

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120809

Zhe Chen, Emin Aksehirli

引用次数: 0

A No-Reference Video Streaming QoE Estimator based on Physical Layer 4G Radio Measurements 基于物理层4G无线电测量的无参考视频流QoE估计

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120504

D. Moura, M. Sousa, P. Vieira, A. Rodrigues, Tiago Rosa Maria Paula Queluz

{"title":"A No-Reference Video Streaming QoE Estimator based on Physical Layer 4G Radio Measurements","authors":"D. Moura, M. Sousa, P. Vieira, A. Rodrigues, Tiago Rosa Maria Paula Queluz","doi":"10.1109/WCNC45663.2020.9120504","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120504","url":null,"abstract":"With the increase in consumption of multimedia content through mobile devices (e.g., smartphones), it is crucial to find new ways of optimizing current and future wireless networks and to continuously give users a better Quality of Experience (QoE) when accessing that content. To achieve this goal, it is necessary to provide Mobile Network Operator (MNO) with real time QoE monitoring for multimedia services (e.g., video streaming, web browsing), enabling a fast network optimization and an effective resource management. This paper proposes a new QoE prediction model for video streaming services over 4G networks, using layer 1 (i.e., Physical Layer) key performance indicators (KPIs). The model estimates the service Mean Opinion Score (MOS) based on a Machine Learning (ML) algorithm, and using real MNO drive test (DT) data, where both application layer and layer 1 metrics are available. From the several considered ML algorithms, the Gradient Tree Boosting (GTB) showed the best performance, achieving a Pearson correlation of 78.9%, a Spearman correlation of 66.8% and a Mean Squared Error (MSE) of 0.114, on a test set with 901 examples. Finally, the proposed model was tested with new DT data together with the network’s configuration. With the use case results, QoE predictions were analyzed according to the context in which the session was established, the radio transmission environment and radio channel quality indicators.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128204576","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

Impact of Packet Routing Scheme on Post-Failure Industrial Wireless Sensor Networks 分组路由方案对故障后工业无线传感器网络的影响

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120839

Bandarage Rajith D. K. Madduma, G. Messier, A. Fapojuwo

引用次数: 0

Transmit laser selection for dual hop decode and forward UOWC cooperative communication 发送激光选择双跳解码和转发UOWC合作通信

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120482

A. Bhowal, R. S. Kshetrimayum

引用次数: 2

End-Edge Coordinated Inference for Real-Time BYOD Malware Detection using Deep Learning 基于深度学习的实时BYOD恶意软件检测的端到端协调推理

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120765

Xinrui Tan, Hongjia Li, Liming Wang, Zhen Xu

{"title":"End-Edge Coordinated Inference for Real-Time BYOD Malware Detection using Deep Learning","authors":"Xinrui Tan, Hongjia Li, Liming Wang, Zhen Xu","doi":"10.1109/WCNC45663.2020.9120765","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120765","url":null,"abstract":"Bring-Your-Own-Device (BYOD) has been widely viewed as a definite trend among enterprises in which employees bring and use their personal smartphones for work. Despite the perceived opportunities of increasing productivity and reducing costs, BYOD raises severe security and privacy concerns: the corporate networks and data are directly exposed to malware apps running on the personal smartphones. This highlights the necessity for performing real-time mobile malware detection in BYOD environments. Deep learning seems to be a natural choice to handle such detection, due to its state-of-the-art detection effectiveness. However, deep learning inference is usually too computationally complex for resource-constrained smartphones, and the communication overhead of cloud-based inference may be unacceptable. As a result, it is hard to seek the tradeoff between the real-time demand and optimality of detection accuracy. In this paper, we tackle this issue by proposing an endedge coordinated inference approach that can support highlyaccurate and average latency guaranteed malware detection. Our proposed approach integrates the early-exit and model partitioning methods to allow fast, correct and smartphonelocalized inference to occur frequently. Extensive evaluations are carried out, demonstrating that our proposed approach offers a good compromise between detection accuracy and efficiency.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129018910","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: 8

Channel Correlation Cancelation-Based Hybrid Beamforming for Massive Multiuser MIMO Systems 基于信道相关抵消的大规模多用户MIMO系统混合波束形成

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120651

Xinbo Wang, Li Guo, Chao Dong, Xidong Mu

{"title":"Channel Correlation Cancelation-Based Hybrid Beamforming for Massive Multiuser MIMO Systems","authors":"Xinbo Wang, Li Guo, Chao Dong, Xidong Mu","doi":"10.1109/WCNC45663.2020.9120651","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120651","url":null,"abstract":"In millimeter-wave (mmWave) communication systems, hybrid beamforming is regarded as an effective way to increase the spectral efficiency of the massive multiple-input multiple-output (MIMO) system. Assuming perfect channel state information (CSI) is known at the transmitter, we focus on a downlink massive multi-user MIMO system which supports multi-stream per user. In the above scenario, we investigate the hybrid beamforming problem with strong correlation between users’ channels, where the existing schemes have performance loss. To tackle this problem, this paper proposes the channel correlation cancelation-based hybrid beamforming (CCCHB) algorithm which considers the correlation between channels and decomposes the optimization of overall spectrum efficiency of the users to a series of sub-rate optimization problems. And the block diagonalization (BD) technique is used in the equivalent channel to eliminate inter-user interference. Simulation results illustrate that the performance of the proposed scheme outperforms the existing algorithm, especially significant when there exists high correlation between users’ channels.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124736217","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

Novel MultiPipe QUIC Protocols to Enhance the Wireless Network Performance 提高无线网络性能的新型多管道QUIC协议

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120821

G. Choudhary, M. Kanagarathinam, Harikrishnan Natarajan, K. Arunachalam, Sujith Rengan Jayaseelan, Gaurav Sinha, D. Das

{"title":"Novel MultiPipe QUIC Protocols to Enhance the Wireless Network Performance","authors":"G. Choudhary, M. Kanagarathinam, Harikrishnan Natarajan, K. Arunachalam, Sujith Rengan Jayaseelan, Gaurav Sinha, D. Das","doi":"10.1109/WCNC45663.2020.9120821","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120821","url":null,"abstract":"To improve the performance of the Transmission Control Protocol (TCP), the Quick UDP Internet Connections (QUIC) was introduced. However, from the recent literature, in the wireless networks, QUIC does not fully utilize the link capacity, because of varying network wireless medium characteristics for an application. To the best of our knowledge, for the first time, this paper has proposed two novel protocols to overcome the wireless network’s challenges, by MultiPipe (multi sessions) QUIC protocol (MP-QUIC). The two MP-QUIC’s novel protocols are (i) Round Robin MP-QUIC (RR-MP-QUIC) and (ii) Cross-Layer Burst Aware MP-QUIC (CBA-MP-QUIC). In RR-MP-QUIC, multiple pipes are created between source as well as destination and assign a pipe to each object in a round-robin manner. We set up the testbed over live air commercial network. The experimental results reveal that the RR-MP-QUIC Page Load Time (PLT) of a web page decreases by 76% with respect to QUIC. Furthermore, to improve the performance of RR-MPQUIC, we proposed CBA-MP-QUIC, which optimally creates pipes, efficiently schedules the objects and understands with respect to cross-layer (wireless channel characteristics and load in data link layer) parameters. Hence this adapts dynamically to the network conditions and maintains fairness between the applications in User Equipment (UE) and within the same application. Experimental result of CBA-MP-QUIC on live air improves the web page PLT by 143% with respect to QUIC.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883181","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

Distributed Video Analysis for Mobile Live Broadcasting Services 面向移动直播业务的分布式视频分析

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120783

Yuanqi Chen, Yongjie Guan, Tao Han

引用次数: 0

MF-based Dimension Reduction Signal Compression for Fronthaul-Constrained Distributed MIMO C-RAN 基于mf的前约束分布式MIMO C-RAN降维信号压缩

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120669

Fred Wiffen, M. Z. Bocus, A. Doufexi, W. Chin

{"title":"MF-based Dimension Reduction Signal Compression for Fronthaul-Constrained Distributed MIMO C-RAN","authors":"Fred Wiffen, M. Z. Bocus, A. Doufexi, W. Chin","doi":"10.1109/WCNC45663.2020.9120669","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120669","url":null,"abstract":"In this work we propose a fronthaul compression scheme for distributed MIMO systems with multi-antenna receivers, in which, prior to signal quantisation, dimension reduction is performed at each receiver by matched filtering the received signal with a subset of the local user channel vectors. By choosing these matched filter vectors based on global channel information, a high proportion of the potential capacity may be captured by a small number of signal components, which can then be compressed efficiently using local signal compression. We outline a greedy algorithm for selecting the matched filtering vectors for each receiver, and a local transform coding approach for quantising them, giving expressions for the resulting system sum and user capacities. We then show that the scheme is easily modified to account for imperfect CSI at the receivers. Numerical results show that with a low signal dimension the scheme is able to operate very close to the cut-set bound in the fronthaul limited regime, and demonstrates significant improvements in rate-capacity trade-off versus local compression at all operating points, particularly at high SNR.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129173592","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

LiSCAN: Visible Light Uni-Directional Control Channel for Uplink Radio Access 用于上行无线接入的可见光单向控制信道

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120511

Sharan Naribole, E. Knightly

{"title":"LiSCAN: Visible Light Uni-Directional Control Channel for Uplink Radio Access","authors":"Sharan Naribole, E. Knightly","doi":"10.1109/WCNC45663.2020.9120511","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120511","url":null,"abstract":"Contention-based uplink radio access might lead to significant degradation in airtime efficiency and energy efficiency as the time spent “awake” by the radio is dependent on the network traffic conditions. In this paper, we design and evaluate LiSCAN, a visible light uni-directional control channel for contention-free uplink radio access. LiSCAN enables a virtual full-duplex operation by broadcasting polling frames (light-polls) across distributed LED luminaires concurrently with data reception over radio. In LiSCAN, each client consists of an additional low-power light sensor, which upon hearing a light-poll directed to it by Access Point (AP), wakes up the radio module only if there is backlogged traffic. To maximize the airtime efficiency, LiSCAN transmits light-polls successively until it detects an uplink radio transmission. LiSCAN’s pipelined polling enables clients to detect failure in uplink packet reception and accordingly abort their transmissions to eliminate collisions at the AP. We simulate LiSCAN and alternate strategies in ns3 network simulator to analyze LiSCAN’s performance under varying traffic conditions. Our results show that LiSCAN can provide significant improvements in the radio airtime efficiency, the sessions delivered with pre-defined service quality requirements and energy savings.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116331774","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