2020 54th Asilomar Conference on Signals, Systems, and Computers最新文献_第5页

A Dual Approach to Graph CNNs cnn图的双重方法

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443440

John Shi, Mark Cheung, Wendy Summer, J. Moura

{"title":"A Dual Approach to Graph CNNs","authors":"John Shi, Mark Cheung, Wendy Summer, J. Moura","doi":"10.1109/IEEECONF51394.2020.9443440","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443440","url":null,"abstract":"Convolutional neural networks (CNNs) have been very successful with learning on grid-based data such as time series and images. However, traditional CNNs do not perform well on irregular-structured data defined on a graph. Graph convolutional neural networks (graph CNNs) define convolutional layers using graph signal processing (GSP) concepts. They perform well on data defined on a graph such as citation networks and NYC taxi pickup data. Polynomial filter graph CNNs use a polynomial of the graph adjacency matrix A in the convolutional layer. However, they have been shown to fail on graph classification problems when the convolutional layer produces the same output for non-isomorphic graphs and identical graph signals.Recently, a spectral domain shift, M, has been proposed in GSP as the dual to the vertex domain shift and adjacency matrix, A. This has led to a spectral domain theory, dual to the existing vertex domain theory. In this paper, we redefine and dualize the convolutional layer for graph CNNs using M in the spectral domain. In doing so, we solve the problem of graph CNNs failing when applied to certain graph inputs. We show theoretically and experimentally the advantages of our solution on both synthetic and real datasets.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115308021","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

Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming 混合波束形成的毫米波大规模MIMO试验台

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443518

MinKeun Chung, Liang Liu, O. Edfors, F. Tufvesson

引用次数: 8

Energy-Neutral Devices: Can Hybrid RF-Acoustic Signals Point Them Out? 能量中性设备:混合射频声信号能指出它们吗?

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443432

Bert Cox, Chesney Buyle, L. Perre, L. D. Strycker

{"title":"Energy-Neutral Devices: Can Hybrid RF-Acoustic Signals Point Them Out?","authors":"Bert Cox, Chesney Buyle, L. Perre, L. D. Strycker","doi":"10.1109/IEEECONF51394.2020.9443432","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443432","url":null,"abstract":"We present a hybrid signaling approach to position energy-neutral devices. Our method combines the best of two worlds: instant RF signals for both communication and energy transfer, and slower propagating acoustic waves for accurate distance measurements. We introduce advanced energy loading of an ’E-buffer’ through beamformed RF signals. The scientific contribution of our approach is twofold, advancing both the positioning performance and the energy harvesting efficiency. On the one hand, we overcome current distance limitations in RF backscattering-based indoor localization. On the other hand, it enhances the energy harvesting by using the calculated position and beamforming a higher amount of directed RF energy into the mobile node. We provide a functional architecture for both sides of the system and present a proof-of-concept. Practical measurements in representative use cases show an update rate of 10 positions per hour within the regulatory constraints in the 868MHz band for distances up to 4.5 m. An energy and power model are drawn up to provide insights into the performance trade-offs.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465818","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

On the Performance of Power Splitting-Based SWIPT in Self-Energy Recycling Full-Duplex Relaying Networks 自能量回收全双工中继网络中基于功率分裂的SWIPT性能研究

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443296

I. Silva, D. M. Osorio, E. Olivo, O. A. López, H. Alves, M. Latva-aho

{"title":"On the Performance of Power Splitting-Based SWIPT in Self-Energy Recycling Full-Duplex Relaying Networks","authors":"I. Silva, D. M. Osorio, E. Olivo, O. A. López, H. Alves, M. Latva-aho","doi":"10.1109/IEEECONF51394.2020.9443296","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443296","url":null,"abstract":"This paper investigates the outage performance of a cooperative relaying network, where the relay node is considered to be an energy-constrained device so that a power splitting-based simultaneous wireless information and power transfer scheme is employed. The relay is considered to operate in full-duplex (FD) mode so that both energy recycling and information decoding can be performed. For this purpose, the relay is assumed to be provided with two batteries which switch between the power supplying mode and charging mode at each transmission block. In particular, we assume that the self-interference inherent to FD mode is not completely suppressed; it is subject only to passive interference cancellation for self-energy recycling, while it is subject to both passive and active cancellation for information decoding. We derive a tight closed-form approximation to the outage probability for the considered FD mode-based scheme, as well as for the HD mode-based counterpart. We validate the obtained expressions via Monte Carlo simulations. The impact of self-energy recycling in FD mode on the system performance is assessed.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127694533","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

Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity 非统一文件流行度下非编码放置缓存的内存率权衡

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443377

Yong Deng, Min Dong

引用次数: 3

On Reducing Module Activities in Online Arithmetic Operations 在线算术运算中减少模块活动的研究

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443576

M. Ercegovac

{"title":"On Reducing Module Activities in Online Arithmetic Operations","authors":"M. Ercegovac","doi":"10.1109/IEEECONF51394.2020.9443576","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443576","url":null,"abstract":"Online and left-to-right arithmetic process operands and results digit-serially, most significant digit first. An online operation needs only a small number of input digits to begin producing the result digits. This property allows overlap between successive operations thus reducing data dependencies. It also enables digit-level massive parallelism and allows variable precision computations with unbiased truncation. In this paper we are exploring the property that the digits are used only when available and needed thus reducing module (signal) activities and consequently the energy consumed. We analyze a general online algorithm model and relations of input patterns on module activities in basic organizations. The two basic organizations are considered: a linear array (1D) with sequential execution, and a 2D array with combinational execution. Both organizations consist of repeated digit slices (modules). Reduction of active modules has two sources due to online mode of computation: gradual use of input digits and possibility to truncate working precision to p < n full precision. As a case study we analyze online scheme for 3D vector normalization. The results presented are analytical and the reductions in module activities are estimates. In general, the module activities are reduced by about 50% with respect to conventional arithmetic sequential and linear array implementations. Implementation is needed to obtain actual energy savings. This analysis may motivate further study of module activities as a function of arithmetic modes.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133426853","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

A Novel Approach for Combining Local Estimates for Fully Decentralized Feedforward Massive MIMO Equalization: The Multistep Fusion 一种结合局部估计的全分散前馈大规模MIMO均衡新方法:多步融合

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443483

Pascal Seidel, Ludwig Karsthof, S. Paul

引用次数: 2

Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling 动态无线调度的模型辅助深度强化学习

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443367

Arjun Anand, Ravikumar Balakrishnan, V. Somayazulu, R. Vannithamby

{"title":"Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling","authors":"Arjun Anand, Ravikumar Balakrishnan, V. Somayazulu, R. Vannithamby","doi":"10.1109/IEEECONF51394.2020.9443367","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443367","url":null,"abstract":"Recently Deep Reinforcement Learning (DRL) based techniques have been applied to scheduling algorithms at wireless Base Stations (BS) with promising results. The Deep Neural Networks (DNN) used in the DRL approaches have a fixed size input, and this poses a problem in real usage scenarios where the system state that includes number of users can be variable. In this paper we address this important problem by proposing a model-assisted DRL approach, which combines a model based solution with DRL based scheduling and can address both the variable input size and the DNN complexity issues. We show that this approach can achieve performance comparable to a DRL algorithm where a larger DNN trained for the worst-case scenario of the maximum number of users in the system. From a practical perspective our approach of using a model-assisted DRL has the following advantages: 1) There is no strict upper bound on the maximum number of users that can be supported by the system as opposed to the case when we train for the worst case number of users, 2) Training is faster and more energy efficient, and 3) leads to low-complex DNNs achieve comparable performance.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131888519","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

A Mismatched Bound for Stochastic DOA Estimation 随机DOA估计的不匹配界

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443348

Gerald LaMountain, P. Closas

{"title":"A Mismatched Bound for Stochastic DOA Estimation","authors":"Gerald LaMountain, P. Closas","doi":"10.1109/IEEECONF51394.2020.9443348","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443348","url":null,"abstract":"Model misspecification occurs when the assumed model on which an estimator is derived differs from the true underlying model for a given set of data. This often occurs when, for reasons of practicality, it is not reasonable to account for all of the real-world factors affecting a given signal. In the context of radio direction-of-arrival (DOA) estimation this can occur due to interference, multipath or other unanticipated phenomena, or due to modelling assumptions that are made in order to utilize computationally efficient array processing algorithms. In this contribution we address the problem of model misspecification in the context of multi-antenna stochastic direction-of-arrival estimation. We present this problem as an application for the Misspecified Cramér-Rao lower bound (MCRB) and derive a set of general models and expressions for computing the MCRB for the misspecified stochastic DOA problem. These models are compared against the convergent results of the stochastic maximum-likelihood (ML) estimation to show that the performance of an asymptotically optimal unbiased estimator does converge to the value predicted by the MCRB.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134146747","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

Deep Optics: Learning Cameras and Optical Computing Systems 深度光学:学习相机和光学计算系统

2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443575

Gordon Wetzstein, H. Ikoma, Christopher A. Metzler, Yifan Peng

引用次数: 1