基于有限反馈的数据流数自适应SDMA

针对目前绝大部分有限反馈自适应SDMA由于使用固定满波束发送策略而导致在稀疏网络中严重的用户间干扰的问题,该文提出了一种基于有限反馈的数据流数自适应SDMA,该方案能通过自适应地选择并行发送波束的数目来达到有效控制用户间干扰的目的。具体实现如下：通过用户的有限反馈信息,以及信道的二阶统计信息,基站端使用约束最大似然估计的方法估计出使用不同数目发送波束的发送模式所支持的最大和吞吐量,从而自适应地选择最优的发送模式。仿真结果表明：该文提出的方案能在增加很少反馈量的前提下显著改善现有SDMA方案的性能。     

Intelligent MBWIMA/UMTS Protocol Using SDMA Scheduling in UTRA TDD Mode

The intelligent medium access control (MAC) protocol based on cascade fuzzy logic control (CFLC) using the first-duplicated space division multiple access (SDMA) scheduling for UTRA TDD mode is presented in this paper. Voice, data and video are integrated for transmission using CFLC-based movable boundary wireless multiple access in the UMTS (MBWIMA/UMTS) protocol. The CFLC-based MBWIMA/UMTS protocol performance with data rate control is optimized using the CFLC to generate the proper maximum number of voice/video slots and a suitable data rate. The first-duplicated SDMA scheduling, which provides the SDMA scheduling management, can increase the wireless mobile system capacity and reduce the voice-video dropping probability. The simulation results demonstrate that the CFLC-based MBWIMA/UMTS protocol using the first-duplicated SDMA scheduling can greatly improve both the voice-video dropping probability and data packet delay, compared with the MBWIMA/UMTS and GPRS/UMTS protocols using the first-duplicated SDMA scheduling at the expense of a small decrease in data packet throughput. Jeich Mar received the M.S. degree in electrical engineering from the National Taiwan University, Taiwan, R.O.C., in 1974 and the Ph.D. degree in electrical engineering from the University of Southern California, Los Angeles, in 1981. From 1981 to 1991, he worked as a Scientist in the Chung-Shang Institute of Science and Technology, Taiwan, where the worked on the development of a signal processor for phased array radar. He is currently a Professor in the Department of Communications Engineering, Yuan-Ze University, Taoyuan, Taiwan. His research interests include mobile communication and ap-plications of signal processing in Radar and Communication. Chih-Yang Kao was born in Hualien, Taiwan, Republic of China, 1974. He received the B.S., M.S. and Ph.D degree in electrical engineering from Yuan-Ze University, Taiwan in 1996, 1998 and 2004, respectively. He is now with Computer & Communications Research Laboratories, Industrial Technology Research Institute (CCL-ITRI). His current research interests include digital video broadcasting and wireless medium access control of next-generation mobile communication systems.     

基于信道跟踪的异步多用户OFDM系统接收机

本文针对空分多址接入OFDM系统上行链路提出了一种基于信道跟踪的异步多用户OFDM系统接收机,在每帧数据的开头设置导频符号得到初始信道估计,然后针对每一个数据符号在逐子载波的MMSE检测器、干扰抵消和信道估计之间迭代,得到最终的符号输出.仿真和分析结果表明这种接收机在保留了逐子载波处理简单结构的同时可以有效地跟踪信道.同时,用户在一定的移动速度下,异步时延越小,用户间干扰越弱,系统性能越好;帧长越短,信道跟踪能力越强.     

多用户MIMO系统中基于快速匹配调度的有限反馈SDMA

提出了一种能高效利用多用户分集和空分复用增益的有限反馈空分多址(SDMA,space division multiple access)方法。首先利用子空间扰动的方法构造了一种具有分簇结构的多用户预编码码本。基于该码本,进一步给出了一种新型的多用户机会调度算法,该算法利用码本的簇结构实现对信道条件匹配的用户组进行快速的机会调度,同时确定被调度用户的首选码字。仿真结果表明,在蜂窝网络中,与传统的有限反馈SDMA方法相比,所提方法可以在不明显增加反馈开销的前提下显著提高系统吞吐量。     

Teletraffic Analysis of SDMA-Systems with Inhomogeneous MS Location Distribution and Mobility

One of the most widely used buzzwords in mobile communications of the recent years is Space Division Multiple Access (SDMA). The introduction of an additional space domain multiple access component is likely to boost system capacity, due to the spatial reuse of physical channels within one cell. While early approaches of SDMA system modelling show capacity to be gained in the order of 300 to 400%, there remains some more in depth system analysis to be done, as inhomogeneities in the user distribution are expected to likely cause dramatic drops in the additional capacity gained by SDMA. The spatial distribution of terminals directly influences the number of channels to be gained by spatial multiplexing. Therefore, it is not until detailed models for user distribution, user mobility and the traffic load generated by users are combined with a model of the SDMA radio subsystem, that realistic approximations for these capacity gains are possible. In this paper, we discuss the issues in modelling and simulation of SDMA systems. We present an approach for integrated SDMA system modelling, discuss analytic teletraffic dimensioning methods for macro- and microcellular environments and their relevance to SDMA systems, and present some early simulation results.     

应用于CDMA系统的智能天线的波束形成技术

为了在复杂的电磁传播环境中保证信号传输的可靠性，智能天线技术成为近年来移动通信领域中的一个研究热点，而波束形成是智能天线中的关键技术之一。文中着重分析了自适应波束形成技术在码分多址系统中的应用，并讨论了目前波束形成技术中需要面临的挑战。     

A review of recent trends in electrospray ionisation-mass spectrometry for the analysis of metal-organic ligand complexes

Background

Asymmetric dimethylarginine (ADMA), an endogenous nitric oxide (NO) formation inhibitor, has emerged as a promising biomarker of NO-associated endothelial dysfunction in cardiovascular diseases as well in chronic renal failure. The interest in potentially fundamental role of this metabolite, in basic and clinical research, led to the development of numerous analytical methods for the quantitative determination of ADMA and dimethylarginines in biological systems, notably plasma, serum and urine.

Objectives

The aim of this work was to present a simple, fast and accurate UPLC-tandem-MS-based method for the simultaneous determination and quantification of arginine, ADMA, SDMA, NMMA, homo-arginine and citrulline. This method is designed for high sample throughput of only 10 μL of human plasma, serum or urine.

Methods

The analysis time is reduced to 1.9 min by an ultrahigh-performance liquid chromatography run coupled with electrospray ionization (ESI) in the positive mode tandem mass spectrometry detection.

Results

The method was validated in plasma, serum and urine. Correlation coefficients (r²) of the calibration curves in all matrices considered ranged from 0.9810 to 0.9993. Inter- and intra-assay precision, accuracy, recovery and carry-over were evaluated for validation. The LOD was 0.01 μM for all compounds in water, plasma and serum and 0.1 μM in urine. The LOQ was 0.05 μM for ADMA, SDMA, NMMA and H-Arg and 0.5 μM for Arg and Cit in water, plasma and serum; while in urine was 0.1 μM for ADMA, SDMA, NMMA and H-Arg and 0.5 μM for Arg and Cit.The precision was ranged from 1% to 15% expressed as CV% and the accuracy (bias %) was <±7% for all added concentrations with the exception of NMMA (−10%).ADMA mean plasma levels, measured in healthy adults and newborns, were in accord with literature data published: (M ± SD) 0.56 ± 0.10 μM and 0.84 ± 0.21 μM, respectively, showing that ADMA levels in plasma decreased with age. In serum we have similar data (0.54 ± 0.18 μM and 1.14 ± 0.36 μM), while in neonatal urine ADMA was 11.98 ± 7.13 μmol mmol⁻¹ creatinine.

Conclusions

Data from calibration curves and method validation reveal that the method is accurate and precise. The fast run time, the feasibility of high sample throughput and the small amount of sample required make this method very suitable for routine analysis in the clinical setting.