2010 44th Annual Conference on Information Sciences and Systems (CISS)最新文献_第3页

Cost-constrained transmit processing in wireless cellular networks with universal frequency reuse 通用频率复用无线蜂窝网络中成本约束的传输处理

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464842

R. Bendlin, Yih-Fang Huang, M. Ivrlac, J. Nossek

引用次数: 3

High resolution channel quantization rules for multiuser spatial multiplexing systems 多用户空间复用系统的高分辨率信道量化规则

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464829

B. Khoshnevis, Wei Yu

{"title":"High resolution channel quantization rules for multiuser spatial multiplexing systems","authors":"B. Khoshnevis, Wei Yu","doi":"10.1109/CISS.2010.5464829","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464829","url":null,"abstract":"This paper addresses the optimal channel quantization codebook design for limited feedback multiple-antenna multiuser channels. The base station is equipped with M antennas and serves M single-antenna users, which share a total feedback rate B. We assume real space channels for convenience; the extension of the analysis to complex space is straightforward. The codebook optimization problem is cast in form of minimizing the average downlink transmission power subject to the users' outage probability constraints. This paper adopts a product codebook structure for channel quantization comprising a uniform (in dB) channel magnitude quantization codebook and a spatially uniform channel direction quantization codebook. We first formulate a robust power control problem that minimizes the sum power subject to the worst-case SINR constraints over the channel quantization regions. By using an upper bound solution to this problem, we then optimize the quantization codebooks given the target outage probabilities and the target SINR's. In the asymptotic regime of B → ∞, the optimal number of channel direction quantization bits is shown to be M-1 times the number of channel magnitude quantization bits. It is further shown that the users with higher requested QoS (lower target outage probabilities) and higher requested downlink rates (higher target SINR's) should receive larger shares of the feedback rate. The paper also shows that, for the target parameters to be feasible, the total feedback bandwidth should scale logarithmically with γ̄, the geometric mean of the target SINR values, and 1/q̄, the geometric mean of the inverse target outage probabilities. Moreover, the minimum required feedback rate increases if the users' target parameters deviate from the average parameters γ̄ and q̄. Finally, we show that, as B increases, the multiuser system performance approaches the performance of the perfect channel state information system as 1 over q̄ times 2 raise to minus B over M raise to 2.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"98 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121015198","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

Joint scheduling and dynamic power spectrum optimization for wireless multicell networks 无线多蜂窝网络联合调度与动态功率谱优化

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464889

Wei Yu, T. Kwon, Changyong Shin

{"title":"Joint scheduling and dynamic power spectrum optimization for wireless multicell networks","authors":"Wei Yu, T. Kwon, Changyong Shin","doi":"10.1109/CISS.2010.5464889","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464889","url":null,"abstract":"This paper proposes a joint proportionally fair scheduling and dynamic power spectrum adaptation algorithm for wireless multicell networks. The proposed system allows multiple base-stations in a multicell network to be coordinated by exchanging interference pricing messages among each other. The messages summarize the effect of intercell interference, and they are functions of transmit power spectra, signal-to-noise ratios, direct and interfering channel gains, and the proportional fairness variables for each user. The use of interference pricing allows the transmit power spectra and user schedule within each base-station to be optimized jointly, while taking into consideration both the intercell interference and the fairness among the users in multiple cells. This paper proposes two power spectrum optimization methods, one based on the Karush-Kuhn-Tucker (KKT) condition of the optimization problem, and another based on the Newton's method. The proposed methods can achieve a throughput improvement of 40%–55% for users at the cell edge as compared to a conventional per-cell optimized system, while maintaining proportional fairness.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121804879","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: 57

Investigating symmetric and asymmetric stereoscopic compression using the PSNR image quality metric 使用PSNR图像质量度量研究对称和非对称立体压缩

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464938

Paul W. Gorley, N. Holliman

引用次数: 4

Double overrelaxation thresholding methods for sparse signal reconstruction 稀疏信号重构的双过松弛阈值法

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464879

Kun Qiu, Aleksandar Dogandzic

{"title":"Double overrelaxation thresholding methods for sparse signal reconstruction","authors":"Kun Qiu, Aleksandar Dogandzic","doi":"10.1109/CISS.2010.5464879","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464879","url":null,"abstract":"We propose double overrelaxation (DORE) and automatic double overrelaxation (ADORE) thresholding methods for sparse signal reconstruction. The measurements follow an underdetermined linear model, where the regression-coefficient vector is a sum of an unknown deterministic sparse signal component and a zero-mean white Gaussian component with an unknown variance. We first introduce an expectation-conditional maximization either (ECME) algorithm for estimating the sparse signal and variance of the random signal component and then describe our DORE thresholding scheme. The DORE scheme interleaves two successive overrelaxation steps and ECME steps, with goal to accelerate the convergence of the ECME algorithm. Both ECME and DORE algorithms aim at finding the maximum likelihood (ML) estimates of the unknown parameters assuming that the signal sparsity level is known. If the signal sparsity level is unknown, we propose an unconstrained sparsity selection (USS) criterion and show that, under certain conditions, maximizing the USS objective function with respect to the signal sparsity level is equivalent to finding the sparsest solution of the underlying underdetermined linear system. Our ADORE scheme demands no prior knowledge about the signal sparsity level and estimates this level by applying a golden-section search to maximize the USS objective function. We employ the proposed methods to reconstruct images from sparse tomographic projections and compare them with existing approaches that are feasible for large-scale data. Our numerical examples show that DORE is significantly faster than the ECME and related iterative hard thresholding (IHT) algorithms.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382048","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: 20

UWB MIMO cooperative relay systems: BER analysis and relay regions 超宽带MIMO合作中继系统:误码率分析和中继区域

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464739

K. Maichalernnukul, Feng Zheng, T. Kaiser

引用次数: 9

An information theoretic performance bound for passive sonar localization of a moving source 被动声呐运动源定位的信息论性能界

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464728

C. Jemmott, R. L. Culver, B. Bissinger, C. Gaumond

引用次数: 3

Fast robust reconstruction of large-scale environments 大规模环境的快速鲁棒重建

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464819

Jan-Michael Frahm, M. Pollefeys, S. Lazebnik, Brian Clipp, D. Gallup, R. Raguram, Changchang Wu

引用次数: 9

Partitioned one-bit feedback for cooperative beamforming 分块位反馈协同波束形成

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464769

Gubong Lim, L. Cimini

引用次数: 5

On the symmetric capacity of the K-user symmetric cyclic Gaussian interference channel k -用户对称循环高斯干涉信道的对称容量

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464891

Lei Zhou, Wei Yu

引用次数: 10