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2019 53rd Asilomar Conference on Signals, Systems, and Computers最新文献

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Dynamic Distributed Antenna Systems with Wireless mmWave Fronthaul 无线毫米波前传动态分布式天线系统
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048836
Stefan Schwarz, Stefan Pratschner
{"title":"Dynamic Distributed Antenna Systems with Wireless mmWave Fronthaul","authors":"Stefan Schwarz, Stefan Pratschner","doi":"10.1109/IEEECONF44664.2019.9048836","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048836","url":null,"abstract":"Cloud radio access network (CRAN) architectures promise improved scalability of mobile networks, both in terms of network capacity as well as capital expenditure for mobile network operators. Yet, the transition towards CRAN with fully virtualized base band units (BBUs) implemented in the cloud is a significant investment for network operators, since most of the existing base band processing hardware in already deployed macro base stations (BSs) becomes outdated. A gradual transition towards CRAN can be facilitated by initially reusing existing BBUs in macro BSs and augmenting them with additional remote radio units (RRUs), which are spatially distributed in the network coverage area and can be freely associated to any macro BS over reconfigurable fron-thaul connections. In this work, we consider wireless mmWave fronthaul links between BSs and RRUs that are dynamically established on-demand, to form so-called dynamic distributed antenna systems (dDAS), which support distributed MIMO transmission. This architecture stands in-between a fully virtualized CRAN architecture and conventional distributed antenna systems, in which fronthaul links are static. We consider optimization of the RRU allocation of the dDAS under realistic wireless fronthaul limitations.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"40 1","pages":"569-575"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79545275","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
Low Complexity Static and Dynamic Sparse Bayesian Learning Combining BP, VB and EP Message Passing 结合BP、VB和EP消息传递的低复杂度静态和动态稀疏贝叶斯学习
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048860
C. Thomas, D. Slock
{"title":"Low Complexity Static and Dynamic Sparse Bayesian Learning Combining BP, VB and EP Message Passing","authors":"C. Thomas, D. Slock","doi":"10.1109/IEEECONF44664.2019.9048860","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048860","url":null,"abstract":"Sparse Bayesian Learning (SBL) provides sophisticated (state) model order selection with unknown support distribution. This allows to handle problems with big state dimensions and relatively limited data by exploiting variations in parameter importance. The techniques proposed in this paper allow to handle the extension of SBL to time-varying states, modeled as diagonal first-order auto-regressive (DAR(1)) processes with unknown parameters to be estimated also. Adding the parameters to the state leads to an augmented state and a non-linear (at least bilinear) state-space model. The proposed approach, which applies also to more general non-linear models, uses a combination of belief propagation (BP), Variational Bayes (VB) or mean field (MF) techniques, and Expectation Propagation (EP) to approximate the posterior marginal distributions of the scalar factors. We propose Fisher Information Matrix analysis to determine the variable split between the use of BP and VB allowing to stay optimal in terms of Laplace approximation.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"25 1","pages":"685-689"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83624285","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: 11
Real-time Performance Evaluation of Relative Calibration on the OAI 5G testbed 基于OAI 5G试验台的相对校准实时性能评估
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048761
Theoni Magounaki, F. Kaltenberger, R. Knopp
{"title":"Real-time Performance Evaluation of Relative Calibration on the OAI 5G testbed","authors":"Theoni Magounaki, F. Kaltenberger, R. Knopp","doi":"10.1109/IEEECONF44664.2019.9048761","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048761","url":null,"abstract":"In this paper we describe the OpenAirInterface (OAI) C-RAN testbed deployed at Eurecom and present the real-time implementation and performance evaluation of a channel calibration scheme. The distributed MIMO operation in dense Time Division Duplex (TDD) radio networks requires accurate time and frequency synchronization and calibration for precoding. We achieve this by using a common reference and over-the-air (OTA) synchronization between remote radio units (RRUs), which is a much cheaper alternative to distributed synchronization using PTPv2-like protocols and special clock regeneration circuitry. Furthermore we perform channel measurements between the RRUs without interrupting the real-time operation in order to perform distributed channel reciprocity calibration which is required to exploit uplink (UL) channel estimates to infer the precoder performed on the downlink (DL) channel.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"1 1","pages":"564-568"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90898504","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
Enhanced Classification of Individual Finger Movements with ECoG 用ECoG增强单个手指运动的分类
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048649
Lin Yao, Mahsa Shoaran
{"title":"Enhanced Classification of Individual Finger Movements with ECoG","authors":"Lin Yao, Mahsa Shoaran","doi":"10.1109/IEEECONF44664.2019.9048649","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048649","url":null,"abstract":"Motor decoding at the level of individual finger movements is critical for high-performance brain-machine interface (BMI) applications. In this work, we propose to exploit the temporal dynamics of the multi-channel electrocorticography (ECoG) signal from human subjects and modern machine learning algorithms to improve the finger-level movement classification accuracy. Using a decision tree ensemble as the classifier and the temporally-concatenated features of ECoG as input, we achieved an average classification accuracy of 71.3%±7.1% on 3 subjects, 6.3% better than the state-of-the-art approach based on conditional random fields (CRF) on the same dataset. Our proposed method could enable a high-performance and minimally invasive cortical BMI for paralyzed patients.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"8 1","pages":"2063-2066"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89708981","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: 15
Crystal centering using deep learning in X-ray crystallography x射线晶体学中使用深度学习的晶体定心
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048793
Jonathan Schurmann, Isaak Lindhè, J. Janneck, G. Lima, Z. Matěj
{"title":"Crystal centering using deep learning in X-ray crystallography","authors":"Jonathan Schurmann, Isaak Lindhè, J. Janneck, G. Lima, Z. Matěj","doi":"10.1109/IEEECONF44664.2019.9048793","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048793","url":null,"abstract":"A key challenge in X-ray crystallography is to find a good point on the crystal on which to center the beam because the crystal takes radiation damage after a number of shots which significantly distort the measurements. Therefore, the beam needs to be aimed manually by an operator, which results in significant additional effort and time.This paper presents an approach toward automating the beam aiming using machine learning, training a neural network with labeled data, resulting in a more efficient system that does not rely on manual supervision to determine where to aim the beam. A range of different neural network architectures are evaluated based on the accuracy of their predictions.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"31 1","pages":"978-983"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73534487","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
Cramér-Rao Lower Bounds for Positioning with Large Intelligent Surfaces using Quantized Amplitude and Phase 基于量子化幅度和相位的大型智能曲面定位的cram<s:1> - rao下界
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048973
Juan Vidal Alegría, F. Rusek
{"title":"Cramér-Rao Lower Bounds for Positioning with Large Intelligent Surfaces using Quantized Amplitude and Phase","authors":"Juan Vidal Alegría, F. Rusek","doi":"10.1109/IEEECONF44664.2019.9048973","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048973","url":null,"abstract":"We envision the use of large intelligent surface (LIS) technology, which is a promising concept that goes beyond massive multiple-input multiple-output (MIMO), for positioning applications due to its ability to focus energy in the 3D space. The Cramér-Rao lower bounds (CBLBs) for positioning using a LIS which can resolve amplitude and phase with full resolution have already been determined in the previous literature. However, in real applications, and specially if we consider cheap hardware components to enable the deployment of LIS at reasonable costs, the phase and amplitude have to be quantized before any information can be extracted from them. Furthermore, the phase information is more difficult to resolve due to phase noise, non-coherence, etc. In this paper we compute the CRLBs for positioning using LIS with quantized phase and amplitude. We also derive analytical bounds for the CRLB for positioning with LIS when all phase information is disregarded and amplitude is measured with full resolution. We present numerical results in the form of tables including the CRLB loss due to the different quantization resolutions, which can serve as a design guideline for hardware developers.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"311 1","pages":"10-14"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76890085","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: 19
Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation 具有功率分配的大规模MIMO系统下行链路URLLC中断分析
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9049046
Alexandru-Sabin Bana, L. Sanguinetti, E. Carvalho, P. Popovski
{"title":"Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation","authors":"Alexandru-Sabin Bana, L. Sanguinetti, E. Carvalho, P. Popovski","doi":"10.1109/IEEECONF44664.2019.9049046","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9049046","url":null,"abstract":"Massive MIMO is seen as a main enabler for low- latency communications, thanks to its high spatial degrees of freedom. The channel hardening and favorable propagation properties of Massive MIMO are particularly important for multiplexing several URLLC devices. However, the actual utility of channel hardening and spatial multiplexing is dependent critically on the accuracy of channel knowledge. When several low- latency devices are multiplexed, the cost for acquiring accurate knowledge becomes critical, and it is not evident how many devices can be served with a latency-reliability requirement and how many pilot symbols should be allocated. This paper investigates the trade-off between achieving high spectral efficiency and high reliability in the downlink, by employing various power allocation strategies, for maximum ratio and minimum mean square error precoders. The results show that using max-min SINR power allocation achieves the best reliability, at the expense of lower sum spectral efficiency.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"102 1","pages":"1394-1398"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78536128","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
Localization of Emotional Affect in Electrocorticography Using a Model Based Discrimination Measure 基于模型的区分方法在皮质电图中定位情绪影响
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048944
A. Kaplan, Qi Cheng, P. Karande, Elizabeth Tran, M. Bijanzadeh, Heather E. Dawes, E. Chang
{"title":"Localization of Emotional Affect in Electrocorticography Using a Model Based Discrimination Measure","authors":"A. Kaplan, Qi Cheng, P. Karande, Elizabeth Tran, M. Bijanzadeh, Heather E. Dawes, E. Chang","doi":"10.1109/IEEECONF44664.2019.9048944","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048944","url":null,"abstract":"Detailed recordings of brain activity acquired using Electrocorticography (ECoG) sensors offer an opportunity to explore the activity of the human brain. We study the information content of ECoG array data with respect to the emotional affect of the subject. Lognormal spectral models are estimated on data from patients undergoing monitoring for intractable epilepsy. A model based approach for mapping discriminative locations is developed for this problem. Differing spatial sensitivity in the ECoG array allows for retrospective analysis of localized brain activity. Our discriminability measure evaluates the information content at each sensor location relative to Positive and Negative displays of emotional affect. This measure can be approximated by a symmetrized Kullback-Leibler divergence between the estimated models.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"32 1","pages":"1709-1713"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74989807","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
The Extended Manifold for Diversely Polarized Antenna Arrays 分集极化天线阵列的扩展流形
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048956
B. Friedlander
{"title":"The Extended Manifold for Diversely Polarized Antenna Arrays","authors":"B. Friedlander","doi":"10.1109/IEEECONF44664.2019.9048956","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048956","url":null,"abstract":"The paper investigates a general parametric model for the manifold of polarization sensitive arrays based on representing each antenna by a collection of short dipoles. The manifold has a simple form consisting of an extended isotropic manifold, vertical and horizontal direction vectors and a constant non-square coupling matrix. The resulting manifold captures the effects of coupling, polarization and antenna characteristics. It provides an arbitrarily accurate representation of the analytic manifold which is based on electromagnetic theory. The Coupling Matrix can be determined from the current distributions in the antennas or calculated by other means such as the least-squares fit of the analytic and extended manifolds. The accuracy of the extended manifold is illustrated by numerical examples.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"52 1","pages":"1262-1266"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74668412","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
Fractional spectrogram for characterizing and classifying vibrating objects in SAR images 用于SAR图像中振动目标表征和分类的分数谱图
2019 53rd Asilomar Conference on Signals, Systems, and Computers Pub Date : 2019-11-01 DOI: 10.1109/IEEECONF44664.2019.9048937
Francisco Pérez, Balasubramaniam Santhanam, Bipesh Shrestha, W. Gerstle, M. Hayat
{"title":"Fractional spectrogram for characterizing and classifying vibrating objects in SAR images","authors":"Francisco Pérez, Balasubramaniam Santhanam, Bipesh Shrestha, W. Gerstle, M. Hayat","doi":"10.1109/IEEECONF44664.2019.9048937","DOIUrl":"https://doi.org/10.1109/IEEECONF44664.2019.9048937","url":null,"abstract":"A recently developed improved spectrogram that uses the discrete fractional Fourier transform (DFRFT) is used to retrieve the vibration signature that represents targets in synthetic aperture radar (SAR) data. The retrieved signature is used as input to a feature extraction process, which characterizes the vibration waveform using the DFRFT as well as histograms and statistics. The study of the performance of two classifiers, one trained with features extracted from vibration measurements and the other trained with feature extracted from simulated SAR data generated from the same vibration measurements, validates the suitability of the DFRFT-based spectrogram for retrieving and characterizing the dynamics of vibrating objects in SAR images.","PeriodicalId":6684,"journal":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","volume":"13 1","pages":"153-157"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74202680","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
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