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Diffusion PSO-LMS Adaptation over Networks 网络上的扩散PSO-LMS自适应
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443530
S. H. Arastu, Naveed Iqbal, M. O. B. Saeed, A. Zerguine
{"title":"Diffusion PSO-LMS Adaptation over Networks","authors":"S. H. Arastu, Naveed Iqbal, M. O. B. Saeed, A. Zerguine","doi":"10.1109/IEEECONF51394.2020.9443530","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443530","url":null,"abstract":"A hybrid diffusion scheme, PSO-LMS, combining a particle swarm optimization (PSO) strategy and the least-mean square (LMS) algorithm, is developed here to optimize cost functions in a cooperative manner over networks, with a specific focus on channel estimation. The PSO component, through its built-in diffusion process, enhances the proposed scheme’s ability to quickly locate the region containing the global minimum, thus enabling the LMS to take over and exploit both the temporal and spatial diversity of the data so as to quickly hone in on the global minimum. Simulation results illustrate the improved performance of this hybrid scheme over both non-cooperative and other hybrid strategies.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"109 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":"115267765","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
Handling PA Nonlinearity in Massive MIMO: What are the Tradeoffs Between System Capacity and Power Consumption 处理大规模MIMO中的PA非线性:系统容量和功耗之间的权衡
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443341
Sidra Muneer, Liang Liu, O. Edfors, H. Sjöland, L. Perre
{"title":"Handling PA Nonlinearity in Massive MIMO: What are the Tradeoffs Between System Capacity and Power Consumption","authors":"Sidra Muneer, Liang Liu, O. Edfors, H. Sjöland, L. Perre","doi":"10.1109/IEEECONF51394.2020.9443341","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443341","url":null,"abstract":"Massive MIMO enables a very high spectral efficiency by spatial multiplexing and opens opportunities to reduce transmit power per antenna. On the other side, it also introduces new challenges in tackling the power amplifier nonlinearity due to the increased number of antennas. The behavior of Out-of-Band radiation from PAs in Massive MIMO is non-trivial depending upon the applied precoding scheme, propagation environment, and how the users are distributed spatially. In this paper, we analyze the in-band and Out-of-Band power distribution in space for a Massive MIMO base station with nonlinear power amplifiers. We also study the tradeoff between amplifier power consumption and system performance (in terms of error vector magnitude at intended receivers) for PAs with different backoff operating levels. The spatial analysis of Out-of-Band under more realistic channel conditions is more reflective of the situation, to determine system emission requirements. The tradeoff between performance and power consumption will provide a basis for future investigations into the design of efficient Massive MIMO systems, taking nonlinearities into account.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"1 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":"115673561","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
MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation 基于深度学习和贪婪自适应的MIMO接收天线选择
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443510
Cong Shen, Donghao Li, Jing Yang
{"title":"MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation","authors":"Cong Shen, Donghao Li, Jing Yang","doi":"10.1109/IEEECONF51394.2020.9443510","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443510","url":null,"abstract":"Computationally efficient optimal solutions for selecting a subset of antennas to maximize the mutual information of a MIMO channel have eluded the practitioners due to its combinatorial nature, and the performance gap is widened with massive MIMO. In this work, recent advances in deep learning are leveraged to develop a deep neural network (DNN) based receive antenna selection solution for a given problem dimension. We detail the neural network structure and evaluate several relevant figures of merit via numerical simulations. This data-driven solution is shown to achieve near optimal mutual information in simple settings, but does not scale naturally with the problem dimension. For the practical scenario where the number of selected antennas is unknown a priori, hybrid greedy solutions are proposed which build on the DNN-based solution for a given dimension and then greedily increase or decrease the number of antennas to approximate the optimal solution of the new problem dimension. Numerical simulations demonstrate the effectiveness of the hybrid solutions.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"16 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":"127542762","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
On the Mutual Coupling Matrix in Array Signal Processing 阵列信号处理中互耦矩阵的研究
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443338
B. Friedlander
{"title":"On the Mutual Coupling Matrix in Array Signal Processing","authors":"B. Friedlander","doi":"10.1109/IEEECONF51394.2020.9443338","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443338","url":null,"abstract":"We discuss some of the issues associated with the Mutual Coupling Matrix (MCM) which is used extensively to model the antenna array manifold. We show that the MCM does not have the correct structure to provide an accurate mathematical model of the true array manifold. The MCM is not based on physical parameters and this makes it difficult to determine its numerical values for a given antenna array. The MCM is usually treated as an unknown quantity which needs to be estimated. Numerical examples in array processing papers use arbitrary values of the MCM which do not correspond to any physical array. Consequently the observations and conclusions presented in those papers must be treated with some care.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"2 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":"123447899","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
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks 揭示属性网络的异常边和标称连通性
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443464
Konstantinos D. Polyzos, Costas Mavromatis, V. N. Ioannidis, G. Giannakis
{"title":"Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks","authors":"Konstantinos D. Polyzos, Costas Mavromatis, V. N. Ioannidis, G. Giannakis","doi":"10.1109/IEEECONF51394.2020.9443464","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443464","url":null,"abstract":"Uncovering anomalies in attributed networks has recently gained popularity due to its importance in unveiling outliers and flagging adversarial behavior in a gamut of data and network science applications including the Internet of Things (IoT), finance, security, to list a few. The present work deals with uncovering anomalous edges in attributed graphs using two distinct formulations with complementary strengths, which can be easily distributed, and hence efficient. The first relies on decomposing the graph data matrix into low rank plus sparse components to markedly improve performance. The second broadens the scope of the first by performing robust recovery of the unperturbed graph, which enhances the anomaly identification performance. The novel methods not only capture anomalous edges linking nodes of different communities, but also spurious connections between any two nodes with different features. Experiments conducted on real and synthetic data corroborate the effectiveness of both methods in the anomaly identification task.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"271 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":"122510575","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
How the Discrete Hirschman Transform Inherits its Eigenstructure from the DFT 离散Hirschman变换如何从DFT继承其特征结构
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443556
R. Thomas, V. DeBrunner, L. DeBrunner
{"title":"How the Discrete Hirschman Transform Inherits its Eigenstructure from the DFT","authors":"R. Thomas, V. DeBrunner, L. DeBrunner","doi":"10.1109/IEEECONF51394.2020.9443556","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443556","url":null,"abstract":"Following the earlier work, the discrete Hirschman transform (DHT) structure is extended to other transforms: the cosine, sine, Walsh-Hadamard and the wavelet transforms. The eigenstructure of the discrete Hirschman transforms are derived, and in fact we show that they are inherited directly from the DFT eigenstructure. Two properties of the discrete Hirschman transforms, invertibility and unitarity, are proven.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"38 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":"121910753","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
Internet of Buoys: An Internet of Things Implementation at Sea 浮标互联网:海上物联网实施
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443538
Michiel Sandra, Sara Gunnarsson, A. Johansson
{"title":"Internet of Buoys: An Internet of Things Implementation at Sea","authors":"Michiel Sandra, Sara Gunnarsson, A. Johansson","doi":"10.1109/IEEECONF51394.2020.9443538","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443538","url":null,"abstract":"Internet of Things (IoT) applications are emerging in many different areas, including maritime environments. One of the applications in this area is the monitoring of buoys at sea. To realize wireless tracking of buoys, an accurate prediction of the path loss in an open-sea environment is essential. So far, channel measurements at sea have mainly been conducted with antennas placed a couple of meters above the sea surface, which is higher than the buoys themselves. Therefore, we investigated the validity of the published channel models at sea by means of path loss measurements using a LoRa link with a transmitter antenna height of 0.35 m and a base station antenna height of 2.65 m and 5.2 m. Our results show that the round earth loss model is not accurate at these antenna heights. The ITU-R P.2001-3 model and a model by Bullington show a better agreement with our measurements. However, the difference between our two measurement campaigns shows that more investigation is needed on the dependence of the path loss on the sea state. Additionally, the availability of Sigfox, Narrowband Internet of Things and The Things has been explored. We found that that these can be used for IoT applications in the tested area at low antenna heights.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"30 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":"114725723","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
Generalized Polarization-Space Modulation in Reconfigurable Intelligent Surfaces 可重构智能曲面中的广义极化空间调制
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443333
J. Hodge, K. Mishra, Quang M. Nguyen, A. Zaghloul
{"title":"Generalized Polarization-Space Modulation in Reconfigurable Intelligent Surfaces","authors":"J. Hodge, K. Mishra, Quang M. Nguyen, A. Zaghloul","doi":"10.1109/IEEECONF51394.2020.9443333","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443333","url":null,"abstract":"The recently proposed generalized polarization-space modulation (GPSM) for multiple-input multiple-output (MIMO) communications systems incorporates a limited number of radio frequency chains. It is a novel index modulation technique that has a potential for use in sixth-generation wireless communications. The conventional GPSM activates multiple dual-polarized transmit (Tx) antennas in the spatial domain and uses combinations of these indices to encode information bits. For each active DP antenna, the GPSM then selects one polarization state to transmit information. In this paper, we employ reconfigurable intelligent surfaces (RIS) to implement the GPSM transmitter to yield more than two polarization states while using a low-cost reconfigurable electromagnetic (EM) metasurface with a reduced form-factor compared to traditional MIMO antenna arrays. The method-of-moment full-wave simulations of our design of RIS-based Tx for GPSM using Barium Strontium Titanate film suggest feasibility and EM-compliance. Our numerical experiments using maximum likelihood detector at the receiver demonstrate that the BER performance of our RIS-aided GPSM is as good as or better than the conventional MIMO systems. The RIS-GPSM retains the same spectral efficiency as conventional MIMO but has a higher energy efficiency.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"33 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":"114872542","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
A decision theoretic approach for waveform design in joint radar communications applications 联合雷达通信中波形设计的决策理论方法
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443402
Shammi A. Doly, A. Chiriyath, H. Mittelmann, D. Bliss, Shankarachary Ragi
{"title":"A decision theoretic approach for waveform design in joint radar communications applications","authors":"Shammi A. Doly, A. Chiriyath, H. Mittelmann, D. Bliss, Shankarachary Ragi","doi":"10.1109/IEEECONF51394.2020.9443402","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443402","url":null,"abstract":"In this paper, we develop a decision theoretic approach for radar waveform design to maximize the joint radar communications performance in spectral coexistence. Specifically, we develop an adaptive waveform design approach by posing the design problem as a partially observable Markov decision process (POMDP), which leads to a hard optimization problem. We extend an approximate dynamic programming approach called nominal belief-state optimization to solve the waveform design problem. We perform a numerical study to compare the performance of the proposed POMDP approach with the commonly used myopic approaches.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"45 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":"126340826","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
Quadric-based Traffic Sign Landmarks Initialization for Object-oriented EKF-SLAM 面向对象EKF-SLAM的二次型交通标志地标初始化
2020 54th Asilomar Conference on Signals, Systems, and Computers Pub Date : 2020-11-01 DOI: 10.1109/IEEECONF51394.2020.9443297
Emir Hrustic, Damien Vivet
{"title":"Quadric-based Traffic Sign Landmarks Initialization for Object-oriented EKF-SLAM","authors":"Emir Hrustic, Damien Vivet","doi":"10.1109/IEEECONF51394.2020.9443297","DOIUrl":"https://doi.org/10.1109/IEEECONF51394.2020.9443297","url":null,"abstract":"Visual Simultaneous localization and mapping (vS-LAM) are estimation problems in which a vehicle is localizing itself while reconstructing a map of the environment. Such approaches are usually solved using handcrafted 2D features resulting as simple geometrical shape landmarks. The main problems of such features are: (1) they are not robust enough and (2) are often lost or incorrectly matched over consecutive frames and (3) they do not carry any semantic information. In this paper, we propose to consider higher level semantic objects as landmarks. We focus on Traffic Signs that are excellent candidates for this role: they have a simple geometrical shape, can be easily detected and carry a strong semantic information. We propose to include such new high level landmarks into an EKF-SLAM framework. For this purpose, we developed an efficient way to estimate the 7 degrees of freedom of polygonal and circular traffic signs from a single stereo-vision observation to initialize such landmarks in a very accurate way so it can be easily used in the EKF based estimation process.","PeriodicalId":248190,"journal":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","volume":"1 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":"130285239","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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