2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)最新文献_第2页

Sparse Bayesian Learning for Multiple Sources Localization with Unknown Propagation Parameters 传播参数未知的多源定位稀疏贝叶斯学习

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904415

Kangyong You, Wenbin Guo, Peiliang Zuo, Yueliang Liu, Wenbo Wang

引用次数: 2

EVM Prediction for Massive MIMO 大规模MIMO的EVM预测

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904437

Wael Boukley Hasan, A. Doufexi, G. Oikonomou, M. Beach

{"title":"EVM Prediction for Massive MIMO","authors":"Wael Boukley Hasan, A. Doufexi, G. Oikonomou, M. Beach","doi":"10.1109/PIMRC.2019.8904437","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904437","url":null,"abstract":"Signal to interference plus noise ratio (SINR) is a widely common performance metric used in the majority of massive multiple-input, multiple-output (Ma-MIMO) research. This metric requires prior knowledge of the user channel vectors and the interference caused by inaccurate channel state information (CSI). However, the interference caused by inaccurate CSI can’t be calculated for real-world scenarios. On the other hand, a comprehensive performance indicator can be achieved by the Error Vector Magnitude (EVM) metric in real-world scenarios. This considers all impairments upon the transmitted symbol as seen at the receiver. However, measuring the EVM values for a subset of users requires each user to retransmit data symbols. This paper presents an estimation method with high accuracy by associating EVM to SINR values for Ma-MIMO with zero-forcing (ZF) and Minimum Mean Square Error (MMSE). Also introduced is a novel EVM prediction method for subset of users taken from the original set of simultaneous users in a single cell Ma-MIMO. This method jointly relies on the channel correlation between users and the EVM performance to predict the EVM values for a subset of the available users without the need to retransmit data symbols. This method considers the user channel vector and the interference caused by inaccurate CSI, which makes it suitable for Ma-MIMO algorithms, such as user grouping and power control. Real-world experimental data-sets with real-time results are carried out to validate the EVM prediction method using software-defined radio Ma-MIMO testbed.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129060741","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

Indoor WLAN Intrusion Detection Using Intra-class Transfer Learning with Low Effort 基于班内迁移学习的低费力室内无线局域网入侵检测

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904445

Mu Zhou, Yaoping Li, Xiaoge Huang, Q. Pu, Hui Yuan

{"title":"Indoor WLAN Intrusion Detection Using Intra-class Transfer Learning with Low Effort","authors":"Mu Zhou, Yaoping Li, Xiaoge Huang, Q. Pu, Hui Yuan","doi":"10.1109/PIMRC.2019.8904445","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904445","url":null,"abstract":"With the widespread adoption of Wireless Local Area Network (WLAN) in indoor environment, indoor WLAN intrusion detection has become a key technique in various fields with the advantage of accomplishing intrusion detection without any requirement of special device or collaboration from the target. However, this technique is suffered by a serious problem that the offline database construction normally leads to high manpower and time cost especially for the large-scale indoor environment. To address this problem, a new indoor WLAN intrusion detection approach with low effort is proposed in this paper. Specially, first of all, the difference between the Received Signal Strength (RSS) data in source and target domains at the same locations is reduced by intra-class transfer learning with the purpose of applying the relations between the offline RSS data and their labels to the online RSS data. Second, the RSS data in target domain are classified by using the classifier trained from the relations of RSS data and the corresponding labels in source domain. Third, the iterative transfer learning between source and target domains is conducted to obtain the labels of RSS data in target domain. Finally, the experimental results demonstrate that the proposed approach is able to achieve high detection accuracy as well as the strong robustness to the number of RSS data used for database construction.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660674","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 Channel Estimation Errors on the Capacity of Space Modulation Techniques 信道估计误差对空间调制技术容量的影响

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904254

R. Mesleh, Abdelhamid Younis

{"title":"Impact of Channel Estimation Errors on the Capacity of Space Modulation Techniques","authors":"R. Mesleh, Abdelhamid Younis","doi":"10.1109/PIMRC.2019.8904254","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904254","url":null,"abstract":"Capacity analysis of space modulation techniques (SMTs) multiple–input multiple–output (MIMO) systems were recently derived and significant enhancements were reported assuming perfect channel knowledge at the receiver. It was illustrated that SMTs achieve higher theoretical capacity than spatial multiplexing (SMX) MIMO system, which can be attained through designing signal symbols such that their distribution multiplied by the channel distribution leads to complex Gaussian distribution. Yet, perfect channel knowledge is impractical and channel estimation techniques must be considered, which cause channel estimation errors (CSE). Such errors are shown in previous literature to severely impact the performance of SMX MIMO system and prevent achieving the theoretical capacity of these systems. Therefore, the impact of CSE on the capacity of SMTs are studied in this paper. It is shown that Space modulation techniques (SMTs), and unlike SMX, can achieve the capacity in the presence of CSE and the conditions under which this can be obtained are derived over variant fading channels. Also, the impact of CSE on the overall capacity is discoursed. Validating the derived theoretical capacity formula through Monte Carlo simulation of the mutual information are presented over wide range of system and channel parameters.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127609577","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

User Clustering and Scheduling in UAV Systems Exploiting Channel Correlation 利用信道相关性的无人机系统用户聚类与调度

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904135

Zhenqiao Cheng, Jianyi Yang, Zaixue Wei, Hongwen Yang

引用次数: 1

Accuracy Limits of Distance Estimation in Visible Light Systems with RGB LEDs RGB led可见光系统中距离估计的精度限制

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904457

Ilker Demirel, S. Gezici

引用次数: 2

Effects of Irregular Photodiode Configurations for Indoor MIMO VLC with Mobile Users 不规则光电二极管配置对室内MIMO VLC移动用户的影响

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904106

A. A. Purwita, Anil Yesilkaya, Iman Tavakkolnia, M. Safari, H. Haas

{"title":"Effects of Irregular Photodiode Configurations for Indoor MIMO VLC with Mobile Users","authors":"A. A. Purwita, Anil Yesilkaya, Iman Tavakkolnia, M. Safari, H. Haas","doi":"10.1109/PIMRC.2019.8904106","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904106","url":null,"abstract":"The performance of visible light communication (VLC) systems are limited by the modulation bandwidth of light emitting diodes (LEDs), despite the availability of the wide optical spectrum. A multiple-input, multiple-output (MIMO) scheme can be employed to further improve the data rate by means of harnessing the spatial multiplexing gain. Nevertheless, it is known that the MIMO VLC channel can be rank-deficient, and consequently its performance can be degraded significantly. The rank of the MIMO VLC channel is highly affected by the geometries of light emitting diodes and photodiodes (PDs). In this paper, the effects of PD configurations on the MIMO performances are investigated. It will be shown that certain PD configurations can lead to a rank-deficient channel. We propose Irregular PD configurations (IPC) to overcome this issue. Moreover, bi-objective problems are formulized to obtain the optimal IPC. A significant gain in terms of the condition number of the channel is shown with respect to regular PD configurations, which further suggests a benefit of IPC in MIMO VLC.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122244882","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

Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation 索引调制广义频分复用的深度卷积学习辅助检测器

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904193

Merve Turhan, Ersin Öztürk, H. A. Çırpan

{"title":"Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation","authors":"Merve Turhan, Ersin Öztürk, H. A. Çırpan","doi":"10.1109/PIMRC.2019.8904193","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904193","url":null,"abstract":"In this paper, a deep convolutional neural network-based symbol detection and demodulation is proposed for generalized frequency division multiplexing with index modulation (GFDM-IM) scheme in order to improve the error performance of the system. The proposed method first pre-processes the received signal by using a zeroforcing (ZF) detector and then uses a neural network consisting of a convolutional neural network (CNN) followed by a fully-connected neural network (FCNN). The FCNN part uses only two fully-connected layers, which can be adapted to yield a trade-off between complexity and bit error rate (BER) performance. This two-stage approach prevents the getting stuck of neural network in a saddle point and enables IM blocks processing independently. It has been demonstrated that the proposed deep convolutional neural network-based detection and demodulation scheme provides better BER performance compared to ZF detector with a reasonable complexity increase. We conclude that non-orthogonal waveforms combined with IM schemes with the help of deep learning is a promising physical layer (PHY) scheme for future wireless networks.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115809722","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

Vehicular Visible Light Positioning with a Single Receiver 单接收机车辆可见光定位

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904408

Burak Soner, S. Ergen

{"title":"Vehicular Visible Light Positioning with a Single Receiver","authors":"Burak Soner, S. Ergen","doi":"10.1109/PIMRC.2019.8904408","DOIUrl":"https://doi.org/10.1109/PIMRC.2019.8904408","url":null,"abstract":"Vehicle-to-vehicle (V2V) communication and positioning systems are expected to play an important role in the development of future automated and autonomous vehicle safety concepts. Visible light communication and positioning (VLC and VLP) promise high data rates and cm-level positioning accuracy, respectively, with vehicle head/tail lights. Existing methods for vehicular VLP often require multiple spatially-separated co-operating nodes with either tightly synchronized clocks or precisely known relative locations and they dictate certain modulation schemes or message content for the VLC subsystem. The proposed novel VLP method utilizes a single VLC receiver capable of measuring angle-of-arrival (AoA) on a receiving vehicle (RXV). The method dictates no modulation constraints on the VLC subsystem and no co-operation is required from the transmitting vehicle (TXV) other than disseminating its real-time speed and heading information via VLC. The method uses speed and heading data and two consecutive AoA samples from the same receiver to deduce 2D position of the TXV relative to the RXV with triangulation. Simulation results show the method performs cm-level positioning accuracy at >50Hz rates under realistic road and VLC channel conditions. With such performance, the proposed VLP method enables time-critical traffic safety applications like collision avoidance.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132491391","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

On the Secrecy Performance of the K-User Cognitive Radio Network with Iterative Interference Alignment 基于迭代干扰对准的k -用户认知无线网络保密性能研究

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) Pub Date : 2019-09-01 DOI: 10.1109/PIMRC.2019.8904114

Eylem Erdogan, Mustafa Namdar, Arif Basgumus, S. Çolak, Seda Ustunbas, Hakan Alakoca, L. Durak-Ata

引用次数: 2