2017 51st Asilomar Conference on Signals, Systems, and Computers最新文献_第2页

State-of-the-art in cache-aided combination networks 最先进的缓存辅助组合网络

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-29 DOI: 10.1109/ACSSC.2017.8335420

Kai Wan, Daniela Tuninetti, Mingyue Ji, P. Piantanida

引用次数: 5

Analyzing the approximation error of the fast graph Fourier transform 快速图傅里叶变换的近似误差分析

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-29 DOI: 10.1109/ACSSC.2017.8335133

Luc Le Magoarou, Nicolas Tremblay, R. Gribonval

引用次数: 5

Adaptive algorithm based on a new hyperbolic sine cost function 基于新的双曲正弦代价函数的自适应算法

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-29 DOI: 10.1109/ACSSC.2017.8335459

Ahmad Khalifi, Qadri Mayyala, Naveed Iqbal, A. Zerguine, K. Abed-Meraim

引用次数: 3

On the relative error of computing complex square roots in floating-point arithmetic 浮点运算中复数平方根计算的相对误差

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-29 DOI: 10.1109/ACSSC.2017.8335442

C. Jeannerod, J. Muller

引用次数: 1

Time-decentralized DOA estimation for electronic surveillance 电子监视的时间分散DOA估计

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335528

S. Sirianunpiboon, S. Howard, S. D. Elton

{"title":"Time-decentralized DOA estimation for electronic surveillance","authors":"S. Sirianunpiboon, S. Howard, S. D. Elton","doi":"10.1109/ACSSC.2017.8335528","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335528","url":null,"abstract":"Due to high data rates necessary in multi-channel Electronic Surveillance systems, the full multi-channel data collected on each radar pulse is data compressed to a pulse descriptor word (PDW), which conventionally contains a DOA estimate for the pulse. It is only in down stream processing that the PDWs are clustered into groups identified as originating from single radar. A combined DOA estimate for the radar is conventionally achieved by some form of averaging over the individual pulse DOAs. If one could retain all of the multi-channel IQ data for all of the pulses in a cluster, one could optimally estimate a DOA for the radar using, for example, a maximum likelihood (ML) estimate. In this paper we propose a modification to the initial data compression and subsequent processing which, while adding only a modest amount of data to each PDW, allows estimation of the radar's DOA with performance approaching that which could be achieved by ML estimation using the full multi-channel data records for all the pulses in the cluster. The method is computationally efficient and also allows the optimal beamforming of each pulse without the need to explicitly estimate its DOA.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979131","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

Intelligent data filtering in constrained IoT systems 受限物联网系统中的智能数据过滤

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335485

Igor Burago, Davide Callegaro, M. Levorato, Sameer Singh

{"title":"Intelligent data filtering in constrained IoT systems","authors":"Igor Burago, Davide Callegaro, M. Levorato, Sameer Singh","doi":"10.1109/ACSSC.2017.8335485","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335485","url":null,"abstract":"The expansion of complex autonomous sensing and control mechanisms in the Internet-of-Things systems clashes with constraints on computation and wireless communication resources. In this paper, we propose a framework to address this conflict for applications in which resolution using a centralized architecture with a general-purpose compression of observations is not appropriate. Three approaches for distributing observation detection workload between sensing and processing devices are considered for sensor systems within wireless islands. Each of the approaches is formulated for the shared configuration of a sensor-edge system, in which the network structure, observation monitoring problem, and machine learning-based detector implementing it are not modified. For every approach, a high-level strategy for realization of the detector for different assumptions on the relation between its complexity and the system's constraints is considered. In each case, the potential for the constraints' satisfaction is shown to exist and be exploitable via division, approximation, and delegation of the detector's workload to the sensing devices off the edge processor. We present examples of applications that benefit from the proposed approaches.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114662999","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

Two-stage LASSO ADMM signal detection algorithm for large scale MIMO 大规模MIMO的两级LASSO ADMM信号检测算法

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335641

Anis Elgabli, Ali A. Elghariani, A. Al-Abbasi, M. Bell

引用次数: 12

SNR threshold region prediction via singular value decomposition of the Barankin bound kernel 基于Barankin界核奇异值分解的信噪比阈值区域预测

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335448

John S. Kota, A. Papandreou-Suppappola

{"title":"SNR threshold region prediction via singular value decomposition of the Barankin bound kernel","authors":"John S. Kota, A. Papandreou-Suppappola","doi":"10.1109/ACSSC.2017.8335448","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335448","url":null,"abstract":"Engineers are often interested in characterizing estimator performance for all possible SNR operating points. The Crámer-Rao lower bound (CRLB) is known to provide a tight lower bound on estimator mean-squared error (MSE) under asymptotic conditions associated with high SNR and/or large data lengths. The maximum likelihood estimator (MLE), a compact function, is known to exhibit the so-called threshold phenomenon in non-linear estimation problems. This threshold region is associated with the MLE selecting side-lobes over the main-lobe with high probability. Therefore, it is important to be able to determine the threshold SNR value past which the performance of the MLE rapidly deviates from the CRLB where small changes in SNR can produce large changes in MSE. One approach for predicting the SNR threshold is based on the computation of the Barankin bound (BB) that can provide a tighter bound than the CRLB on estimator performance. In this paper, we propose a threshold prediction algorithm based on the effective rank of the BB kernel matrix computed via singular value decomposition (SVD). We demonstrate the proposed prediction technique for the time-delay, frequency, and angle of arrival sensing problems and compare to other known prediction techniques from the literature.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116994085","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

Leveraging massive MIMO spatial degrees of freedom to reduce random access delay 利用大规模MIMO空间自由度来减少随机访问延迟

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335719

Fatima Ahsan, A. Sabharwal

引用次数: 3

Exploring spatial motifs for device-to-device network analysis (DNA) in 5G networks 探索5G网络中设备对设备网络分析(DNA)的空间基元

2017 51st Asilomar Conference on Signals, Systems, and Computers Pub Date : 2017-10-01 DOI: 10.1109/ACSSC.2017.8335591

Tengchan Zeng, Omid Semiari, W. Saad

{"title":"Exploring spatial motifs for device-to-device network analysis (DNA) in 5G networks","authors":"Tengchan Zeng, Omid Semiari, W. Saad","doi":"10.1109/ACSSC.2017.8335591","DOIUrl":"https://doi.org/10.1109/ACSSC.2017.8335591","url":null,"abstract":"Device-to-device (D2D) communication is a promising approach to efficiently disseminate critical or viral information across 5G cellular networks. Reaping the benefits of D2D-enabled networks is contingent upon choosing the optimal dissemination policy and resource allocation strategy subject to resource, topology, and user distribution constraints. In this paper, a resource allocation problem within a single-cell orthogonal frequency division multiple-access (OFDMA) network has been formulated to optimize the system throughput. The problem is cast as a mixed binary integer programming problem, which is challenging to solve. Therefore, in order to obtain a sub-optimal solution, the optimization problem is decomposed into two subproblems: seed selection and subchannel allocation. For the seed selection sub-problem, a novel D2D network analysis (DNA) framework is proposed to explore frequent communication patterns across D2D users, known as spatial motifs, to determine the optimal number of devices which can disseminate contents. Furthermore, to solve the second sub-problem, a heuristic algorithm is introduced. Simulation results show the effectiveness of exploring motifs to design D2D dissemination policies, and show that the proposed algorithm can achieve a performance gain of up to 40% compared with a baseline scheme that selects subchannels randomly.","PeriodicalId":296208,"journal":{"name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346909","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