2020 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第10页

On Optimizing Signaling Efficiency of Retransmissions for Voice LTE 语音LTE重传信令效率优化研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120735

Chia-An Hsu, K. Lin, Yi Ren, Y. Tseng

{"title":"On Optimizing Signaling Efficiency of Retransmissions for Voice LTE","authors":"Chia-An Hsu, K. Lin, Yi Ren, Y. Tseng","doi":"10.1109/WCNC45663.2020.9120735","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120735","url":null,"abstract":"The emergence of voice over LTE enables voice traffic transmissions over 4G packet-switched networks. Since voice traffic is characterized by its small payload and frequent transmissions, the corresponding control channel overhead would be high. Semi-persistent scheduling (SPS) is hence proposed in LTE-A to reduce such overhead. However, as wireless channels typically fluctuate, tremendous retransmissions due to poor channel conditions, which are still scheduled dynamically, would lead to a large overhead. To reduce the control message overhead caused by SPS retransmissions, we propose a new SPS retransmission protocol. Different from traditional SPS, which removes the downlink control indicators (DCI) directly, we compress some key fields of all retransmissions’ DCIs in the same subframe as a fixed-length hint. Thus, the base station does not need to send this information to different users individually but just announces the hint as a broadcast message. In this way, we reduce the signaling overhead and at the same time, preserve the flexibility of dynamic scheduling. Our simulation results show that, by enabling DCI compression, our design improves signaling efficiency by $2.16times$, and the spectral utilization can be increased by up to 60%.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"24 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":"133725451","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

A Secure Session Key Negotiation Scheme in WPA2-PSK Networks WPA2-PSK网络中的安全会话密钥协商方案

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120510

J. Guo, Miao Wang, Hanwen Zhang, Yujun Zhang

{"title":"A Secure Session Key Negotiation Scheme in WPA2-PSK Networks","authors":"J. Guo, Miao Wang, Hanwen Zhang, Yujun Zhang","doi":"10.1109/WCNC45663.2020.9120510","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120510","url":null,"abstract":"Wi-Fi Protected Access II Pre-Shared Key (WPA2-PSK) is a hot way to wireless security in public Wi-Fi networks. It works on a pre-configured passphrase shared with all stations in the same Wi-Fi network. Session keys (e.g., Pairwise Transient Key, PTK) between stations and the access point (AP) are derived from the passphrase. The WPA2-PSK networks can authenticate external stations, however, they fail to guarantee confidential communication if internal attackers own the passphrase in the network since all stations derive their PTK using the same passphrase. To prevent internal stations from eavesdropping the PTK, a secure session key negotiation scheme in WPA2-PSK Networks (SSKNS) is proposed. We introduce a temporary session key (TSK), which is encrypted using elliptic curve cryptography (ECC) and exchanged securely between the station and the AP in the Wi-Fi association process. Through AES algorithm with TSK, the station encrypts its own nonce used to generate the unique PTK in the 4-way process. Our scheme neither modifies the legacy process related to PTK generation nor adds plethoric overhead on excessive protection of all messages. Security analysis and simulations performed in NS-3 demonstrate that by consuming a few computation overheads, SSKNS can effectively provide security level, compared with the existing schemes.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"6 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":"116785790","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

Studies of Flatness of LiFi Channel for IEEE 802.11bb IEEE 802.11bb的LiFi通道平坦度研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120811

A. A. Purwita, H. Haas

{"title":"Studies of Flatness of LiFi Channel for IEEE 802.11bb","authors":"A. A. Purwita, H. Haas","doi":"10.1109/WCNC45663.2020.9120811","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120811","url":null,"abstract":"A task group named IEEE 802.11 Light Communications Amendment-Task Group “bb” (TGbb) was established in July 2018. By bringing light-fidelity (LiFi) technology into the WiFi ecosystem, LiFi can take advantage of the globally recognized WiFi brand, while also improving its capability due to the fact that LiFi does not interfere with WiFi. Early discussions in the task group focused on the physical (PHY) layer. There are two major proposals for the PHY layer. The first one is to use the existing IEEE 802.11 chipsets with LiFi analog front-ends. This is done by means of the frequency up and down-conversions and adding a DC bias. The second proposal is to redefine a whole PHY layer and optimize it by means of adopting adaptive bit loading in order to combat the low-pass filter characteristics of the non-line-of-sight wireless optical channels. Each approach has advantages in terms of the low-entry barrier to the mass market and better performance, respectively. The root question in determining the common mode PHY between the two approaches is how frequent LiFi encounters flat channels. That is, if the channel is flat, then the gain of the adaptive bit loading is not significant. Therefore, this paper aims to investigate the flatness of many samples from the reference channel models defined in the TGbb. We find that the majority of the channels are flat if the signal bandwidth is 20 MHz.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"79 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":"131083418","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

On the Feasibility of Location-based Discovery and Vertical Handover in IEEE 802.11ah IEEE 802.11ah中基于位置发现和垂直切换的可行性研究

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120464

S. Santi, Filip Lemic, J. Famaey

{"title":"On the Feasibility of Location-based Discovery and Vertical Handover in IEEE 802.11ah","authors":"S. Santi, Filip Lemic, J. Famaey","doi":"10.1109/WCNC45663.2020.9120464","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120464","url":null,"abstract":"Multi-Radio Access Technology (RAT) IoT devices are able to combine the high coverage of Low-Power Wide-Area (LPWA) technologies with the higher data-rates of shorter range technologies such as IEEE 802.11ah. In such scenarios, a discovery procedure has to be used for detecting the availability of a IEEE 802.11ah network. Currently, these procedures consume substantial energy, as the discovery has to be periodically performed, even if the IEEE 802.11ah technology is not available, which is undesirable for low-power Internet of Things (IoT) devices. We propose using the device’s location information for making more optimized discovery and handover decisions. We demonstrate the feasibility of this approach in performing energy efficient handovers between various LPWA technologies and IEEE 802.11ah based on estimated location. We carry out our evaluation in terms of the energy consumption of the procedure and the duration of the device’s association to IEEE 802.11ah. We show that the location-based procedure substantially reduces the energy consumption of the mobile device compared to the traditional discovery based on periodical listening for beacons.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"36 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":"128606304","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

Capacity Analysis of Time-Indexed Media-based Modulation 基于时间索引的媒体调制的容量分析

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120838

Bharath Shamasundar, L. N. Theagarajan, A. Chockalingam

引用次数: 2

A Differentially Private Classification Algorithm With High Utility for Wireless Body Area Networks 一种实用的无线体域网络差分私有分类算法

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120495

Xianwen Sun, Lingyun Shi, Longfei Wu, Zhitao Guan, Xiaojiang Du, M. Guizani

{"title":"A Differentially Private Classification Algorithm With High Utility for Wireless Body Area Networks","authors":"Xianwen Sun, Lingyun Shi, Longfei Wu, Zhitao Guan, Xiaojiang Du, M. Guizani","doi":"10.1109/WCNC45663.2020.9120495","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120495","url":null,"abstract":"The advancement of the wireless body area networks (WBAN) and sensor technologies allows us to collect a variety of physiological and behavioral data from human body. And appropriate application of machine learning methods can greatly promote the development of e-health. Nevertheless, the collected data contains personal privacy information. When using the machine learning methods to analyze the collected data, some information of the training data will be stored in the learning models unconsciously. To handle such information disclosure problem, we propose a differentially private classification algorithm based on ensemble decision tree with high utility for wireless body area networks. In order to improve the accuracy and stableness of classification, the bagging framework of ensemble learning is used in our algorithm. We aggregate the results of multiple private decision trees as the final classification in a weight-based voting way. For each private decision tree trained on the bootstrap samples, we offer a novel privacy budget allocation strategy that allows the nodes in larger depth to get more privacy budget, which can mitigate the problem of excessive noise introduced to leaf nodes to some extent. The better classification accuracy and stableness of this new algorithm, especially on small dataset, are demonstrated by simulation experiments.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"598 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":"134435118","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

Deep Adaptation Networks Based Gesture Recognition using Commodity WiFi 基于深度适应网络的商用WiFi手势识别

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120726

Zijun Han, Lingchao Guo, Zhaoming Lu, X. Wen, Wei Zheng

{"title":"Deep Adaptation Networks Based Gesture Recognition using Commodity WiFi","authors":"Zijun Han, Lingchao Guo, Zhaoming Lu, X. Wen, Wei Zheng","doi":"10.1109/WCNC45663.2020.9120726","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120726","url":null,"abstract":"Device-free gesture recognition plays a crucial role in smart home applications, setting human free from wearable devices and causing no privacy concerns. Prior WiFi-based recognition systems have achieved high accuracy in a static environment, but with limitations in adapting changes in environments and locations. In this paper, we propose a fine-grained deep adaptation networks based gesture recognition scheme (DANGR) using the Channel State Information (CSI). DANGR applies wavelet transformation for amplitude denoising, and conjugate calibration to remove CSI time-variant random phase offsets. A Generative Adversarial Networks (GAN) based data augmentation approach is proposed to reduce the large consumptions of data collection and the over-fitting risks caused by incomplete dataset. The distribution of CSI in various environments may be biased. In order to shrink these domains discrepancies in environments, we adopt domain adaptation based on multikernel Maximum Mean Discrepancy scheme, which matches the mean-embeddings of abstract representations across domains in a reproducing kernel Hilbert space. Extensive empirical evidence shows that DANGR yields mean 94.5% accuracy of gesture recognition confronting environmental variations, providing a promising scheme for practical and long-run implementation.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"35 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":"132932373","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: 13

Zero-touch coordination framework for Self-Organizing Functions in 5G 5G自组织功能的零接触协调框架

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120799

Diego Fernando Preciado Rojas, Faiaz Nazmetdinov, A. Mitschele-Thiel

{"title":"Zero-touch coordination framework for Self-Organizing Functions in 5G","authors":"Diego Fernando Preciado Rojas, Faiaz Nazmetdinov, A. Mitschele-Thiel","doi":"10.1109/WCNC45663.2020.9120799","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120799","url":null,"abstract":"Traditional mobile network services are built by chaining together multiple functional boxes on which creation of new services is rather static. With the advent of 5G technology the ability to offer agile on-demand services to the users is mandatory. Therefore lifecycle operations such as service initial deployment, configuration changes, upgrades, scale-out, scale-in, optimization, self-healing etc. should be fully automated steps. Self-Organized Networks Functions (SF) were proposed to provide self-adaptation capabilities to mobile networks on different fronts: configuration, optimization and healing and somehow reduce the error-prone human intervention.Nevertheless, conventional design of these SFs was based on single objective optimization approaches where SFs were considered as standalone agents aiming at one very specific local objective (e.g. reduce the interference or increase the coverage). Thus, complex inter-dependencies between SFs were at some extent unattended, so when more than one function is acting on the network, conflicts are inevitable. A well-studied conflict happens when Mobility Load Balancing (MLB) and Mobility Robustness optimization (MRO) functions are simultaneously set up: without coordination, performance degradation is expected because of the cross-dependencies between both SFs. To cope with these underlying conflicts, we propose a zero-touch coordination framework based on Machine Learning (ML) to automatically learn the dynamics between the selected SFs and assist the network optimization task.","PeriodicalId":415064,"journal":{"name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"63 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":"133083586","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

Advanced Hardware Architectures for Turbo Code Decoding Beyond 100 Gb/s Turbo码解码超过100 Gb/s的先进硬件架构

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120779

Stefan Weithoffer, Oliver Griebel, Rami Klaimi, C. A. Nour, N. Wehn

{"title":"Advanced Hardware Architectures for Turbo Code Decoding Beyond 100 Gb/s","authors":"Stefan Weithoffer, Oliver Griebel, Rami Klaimi, C. A. Nour, N. Wehn","doi":"10.1109/WCNC45663.2020.9120779","DOIUrl":"https://doi.org/10.1109/WCNC45663.2020.9120779","url":null,"abstract":"In this paper, we present two new hardware architectures for Turbo Code decoding that combine functional, spatial and iteration parallelism. Our first architecture is the first fully pipelined iteration unrolled architecture that supports multiple frame sizes. This frame flexibility is achieved by providing a set of interleavers designed to achieve a hardware implementation with a reduced routing overhead. The second architecture efficiently utilizes the dynamics of the error rate distribution for different decoding iterations and is comprised of two stages. First, a fully pipelined iteration unrolled decoder stage applied for a pre-determined number of iterations and a second stage with an iterative afterburner-decoder activated only for frames not successfully decoded by the first stage. We give post place & route results for implementations of both architectures for a maximum frame size of K = 128 and demonstrate a throughput of 102.4 Gb/s in 2S nm FDSOI technology. With an area efficiency of 6.19 and 7.15 Gb/s/m$m^{2}$ our implementations clearly outperform state of the art.","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":"133423267","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

Filter Bank Multicarrier Transmission Based on the Discrete Hartley Transform 基于离散哈特利变换的滤波器组多载波传输

2020 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2020-05-01 DOI: 10.1109/WCNC45663.2020.9120467

Chin-Liang Wang, Hong Pan, Chia-Tung Tuan

引用次数: 1