TDD系统中非完美信道信息条件下双流波束赋形吞吐量分析

在时分双工多天线系统中,由于上行信道估计误差和上下行传输时延,上下行链路信道的互易性并不完美;且终端也存在信道估计误差.针对包含这些因素的非完美信道信息条件下的双流波束赋形,导出了吞吐量准确值及其下界的表达式.分析表明,当下行链路信噪比趋于无穷大时,由终端信道估计误差导致的每一路数据流的吞吐量损失几乎不超过lb 3 b...     

天线校准误差建模及对开环波束赋形技术的影响

时分双工系统中上下行无线信道具有互易性,使得基站可以利用获得的上行信道信息实施开环波束赋形技术.但是基站天线口与基带处理模块之间的射频通道并不对称,在进行校准后由于硬件精度所限会有天线校准误差.为此,根据实测数据对天线校准误差进行建模,通过仿真得出,射频通道校准幅度误差标准差在1 dB、角度误差在20°以内时,开环波束赋形技术在误码率为10-5时性能损失小于1 dB.并由此给出了对天线校准误差的要求.     

自适应TDD MIMO-OFDM系统中一种补偿干扰不对称的改进方法

在时分双工(TDD)系统中,由于信道的对称性,发射端无需通过反馈即能得到信道状态信息,并可以用来显著提高多输入多输出(MIMO)系统的频谱利用率.但是,上下行的干扰结构根本不相关.如果上下行干扰差别很大,利用反向测量决定的调制编码参数可能导致较大的误帧率.提出一种发射端能动态跟踪接收端实际干扰值简单的闭环反馈干扰自适应新方法,并研究其在具有HARQ的自适应TDD MIMO-OFDM系统中的性能.仿真结果表明,干扰估计值能很好地跟踪实际值,系统能始终满足误帧率指标要求.     

TDD系统中非理想互易条件下双流波束赋形的容量分析

在时分双工(TDD)多天线系统中,由于上行信道估计误差和上下行传输时延,上下行链路信道的互易性并不理想.针对非理想互易条件下基于最小均方误差线性接收准则的双流波束赋形,通过推导其后验信干噪比,得到了容量上界的闭合表达式.数值和仿真结果表明:所得上界与准确值较为接近;且与理想互易情形相比,非理想互易性对系统的复用增益没有影响,而只会降低系统的阵列增益.     

一种基于信道特征参数的无线通信密钥生成方法

无线通信由于自身传输信道的开放性,其安全问题相对于有线通信更为突出。物理层安全技术利用无线通信信道天然的多径时变特性,可为无线传输提供物理层加密,因而近年来得到快速发展。针对传统物理层安全中密钥生成速率低、频分双工系统不适用等问题,提出了一种基于信道特征参数的无线通信密钥生成方法。基于宽带信号对多径的辨识力,利用各径间相对时延生成初始密钥,结合码本进行密钥长度扩展,从而生成最终密钥。通过数值分析证明,相对于传统物理层密钥生成方式,所提方法能显著提高密钥生成速率,同时,基于时延信道特征的互易性,该方法可适用于时分双工和频分双工无线通信系统的物理层加密。     

TDD的关键技术及其应用前景

时分双工（TDD）是一种现代通信系统常用的双工方式，在移动通信系统中用于分离接收与发送信道（或上下行链路）。如图1所示，在TDD方式的移动通信系统中，接收和发送使用同一频率载波的不同时隙作为信道的承载，用时间来保证接收与发送信道的分离。而传统的频分双工（FDD）方式的移动通信系统的接收和发送使用分离的两个对称频率信道承载，用频段来保证接收与发送信道的分离。[第一段]     

时分双工系统波束赋形块长优化

提出了一种优化时分双工系统波束赋形块长的方案.在该系统中,由于上下行链路的信道互易性,基站可以通过上行导频估计出当前时刻的信道状态信息,从而计算出下一时刻的发射波束赋形向量或矩阵.当给定归一化导频开销时,不同的波束赋形块长对应不同的上行信道估计误差和上下行传输时延,进而导致不同的系统性能.以块平均后验信噪比为目标函数,...     

大规模MIMO时分双工系统的基站天线互易校准算法

对于采用大规模MIMO技术的时分双工系统,基站天线的互易误差会破坏上下行基带信道互易特性,大幅降低系统下行传输性能。考虑到大规模MIMO技术所带来的基站天线间的耦合效应,该文设计了基于总体最小二乘估计的基站天线互易校准算法,以实现对基站的天线互易误差的补偿。该算法以增加计算复杂度为代价,以及通过增加信道测量样本,克服了上下行信道估计误差对现有天线互易误差校准算法的影响。同时,该文通过瑞利商迭代求解降低了该算法的复杂度。若忽略用户天线互易误差,计算机仿真结果表明,该算法相对于现有的基站天线互易误差校正算法,具有1.8 dB左右的性能增益。若考虑用户天线互易误差,该算法相对于已有的算法,具有随信道估计误差方差减小而增大的增益。     

基于天线互耦影响的大规模MIMO TDD系统信道互易性校准算法

射频器件的非理想性和信道的时变特性影响大规模多输入多输出（multiple-input multiple-output，MIMO）系统时分双工（time division duplex，TDD）模式的信道互易性，天线阵列的耦合效应影响信道矩阵的相关性.文中提出一种基于互耦影响的大规模MIMO互易性联合校准算法，将天线之间的互耦效应引入信道矩阵，采用OTA（over-the-air）校准算法和基于自回归（auto-regression，AR）模型预测信道矩阵相结合的方案实现同时校准射频非理想性和信道时变特性引起的互易性损失.仿真结果表明，该算法能够提高系统容量，降低误码率，有效地补偿互易性损失.本文算法可以为大规模MIMO系统的多因素联合校准提供参考.     

GT800数字集群拓展TD-SCDMA的应用空间

GT800数字集群是拥有我国自主知识产权、基于时分多址的专业数字集群新技术,TDMA和TD—SCDMA技术为基础并进行了大量创新。GT800数字集群向专业用户提供高性能、大容量的集群业务和功能,具有系统稳定和良好的可持续发展能力。TD-SCDMA是具有我国自主知识产权的下一代移动通信主流技术之一,其突出特点是时分双工和高频谱利用率。时分双工的好处是上下行信道可以不对称分配,满足上下行数据量不对称的业务;高频谱利用率可以满足人口密集地区大业务量的需求。     

Capacity Improvement for TDD-MIMO Systems via AR Modeling Based Linear Prediction

The quality of channel state information (CSI) affects the performance of multiple input multiple output (MIMO) systems which employ multi-elements antenna arrays at both the transmitter and the receiver. In a time division duplex (TDD) systems, the CSI for downlink can be obtained from uplink channel using reciprocity principal. However, the performance of a MIMO system can be degraded due to channel impairments especially in fast fading scenarios when the CSI obtained from uplink is used for downlink transmission. In this paper, we study performance of autoregressive (AR) modeling based MIMO channel prediction under varying channel propagation conditions (mobile speed, multipath number and angle spread) and prediction filter order. Our simulation results show that using the predicted CSI for downlink provides capacity improvement compared to conventional method.     

MUSIC-Based Pilot Decontamination and Channel Estimation in Multiuser Massive MIMO System

This paper addresses the problem of channel estimation in a multiuser multi-cell wireless communications system in which the base station (BS) is equipped with a very large number of antennas (also referred to as “massive multiple-input multiple-output (MIMO)”). We consider a time-division duplexing (TDD) scheme, in which reciprocity between the uplink and downlink channels can be assumed. Channel estimation is essential for downlink beamforming in massive MIMO, nevertheless, the pilot contamination effect hinders accurate channel estimation, which leads to overall performance degradation. Benefitted from the asymptotic orthogonality between signal and interference subspaces for non-overlapping angle-of arrivals (AOAs) in the large-scale antenna system, we propose a multiple signals classification (MUSIC) based channel estimation algorithm during the uplink transmission. Analytical and numerical results verify complete pilot decontamination and the effectiveness of the proposed channel estimation algorithm in the multiuser multi-cell massive MIMO system.     

一种改进的信号泄露噪声比多用户预编码算法

时分复用(TDD)系统通过信道互异性可以在发送端得到下行信道矩阵。由于上下行信道存在着处理延时,时变信道下,延时带来的信道误差会降低多用户MIMO预编码的系统性能。信道预测在某些情况下能够较好地改善信道误差,但预测误差又会给系统性能带来损失。该文针对预测误差带来的性能损失,提出了一种基于预测误差改进的预编码算法。改进算法根据预测误差的方差对预编码向量进行修正,能够进一步提高系统误码率性能。仿真结果表明,在高车速情况下,该算法比传统的预测预编码算法能带来更大的性能增益。     

多小区多用户TDD MIMO下行链路干扰抑制预编码算法

针对多小区多用户TDD MIMO下行链路,提出了一种基于预编码的联合干扰抑制算法。首先,利用广义MMSE信道逆的QR分解设计预编码矩阵抑制下行链路的多用户干扰(MUI)。然后,从信号能量泄露的角度设计第二个预编码矩阵抑制小区间干扰(ICI)和残留的多用户干扰。该算法能够利用TDD MIMO信道的互易性,不需要用户端的反馈。在市区微小区组成的多用户TDD MIMO系统中的仿真结果表明,该算法能有效地提高系统容量和用户端平均信干噪比(SINR)。     

Space-time communication for OFDM with implicit channel feedback

We consider wideband communication (e.g., using orthogonal frequency-division multiplexed (OFDM) systems) over a typical cellular "downlink," in which both the base station and the mobile may have multiple antennas, but the number of antennas at the mobile is assumed to be small. Implicit channel feedback can play a powerful role in such systems, especially for outdoor channels, which typically exhibit narrow spatial spreads. A summary of our findings is as follows: a) Implicit channel feedback regarding the covariance matrix for the downlink space-time channel can be obtained, without any power or bandwidth overhead, by suitably averaging uplink channel measurements across frequency. Since this approach relies on statistical reciprocity, it applies to both time-division duplex (TDD) and frequency-division duplex (FDD) systems. Using such covariance feedback yields significantly better performance at lower complexity than conventional space-time or space-frequency codes, which do not employ feedback; b) We provide guidelines for optimizing antenna spacing in systems with covariance feedback. Theoretical investigation of a hypothetical system with completely controllable channel eigenvalues shows that the optimal number of channel eigenmodes is roughly matched to the (small) number of receive antenna elements. Thus, while antenna elements in conventional systems without feedback should be spaced far apart in order to ensure uncorrelated responses, the optimal antenna spacing with covariance feedback is much smaller, thereby concentrating the channel energy into a small number of eigenmodes.     

Dynamic TDD Fixed Cellular Systems Using Smart and Sectored Antennas

There are many benefits in using time division duplex (TDD) instead of frequency division duplex (FDD) schemes in fixed wireless cellular systems. For example, channel reciprocity for a single carrier frequency used on both uplinks and downlinks will allow easy access to channel state information, reduced complexity of RF design, much higher flexibility in handling dynamic traffic, simpler frequency plan, etc. However, there exists a serious limiting factor in using dynamic TDD (D-TDD) in cellular systems. This is due to a steady interference on an uplink in any cell caused by downlink transmissions in other cells. Simulation results show in D-TDD cellular systems, performance is unacceptable, when an omnidirectional antenna is used at base stations. Simulation results also suggest great potential for smart antennas in achieving substantial performance improvement in fixed D-TDD bandwidth-on-demand wireless systems.     

Robust beamforming for multicell downlink TDD massive MIMO system based on QoS

In view of multicell downlink time division multiplexing (TDD) massive multiple-input multiple-output (MIMO) systems which had imperfect channel state information (CSI),the beamforming problem that minimized the total transmit power and signal leakage power based on quality of service (QoS) was studied.First,the objective problem was approximated as a standard convex optimization problem.Then,by using the duality of uplink and downlink,an inner and outer layer iterative algorithm was proposed.Numerical results show that,comparing with other typical downlink multicell massive MIMO beamforming algorithms,the proposed algorithm has obvious advantages in terms of complexity and energy efficiency.     

Optimum Joint Transmission (JT) Scheme in TD-SCDMA Downlink

1　Introduction　TD CDMAhasbeenselectedby 3GPPastheairin terfacestandardfortheTimeDivisionDuplexing(TDD)modeofthe 3GsystemInternationalMobileTelecommunications 2 0 0 0 (IMT 2 0 0 0 ) [1] .AlsotheChinese 3GairinterfaceTD SCDMAreliesontimeslot tedCDMAandTDDandiscloselyrelatedtoTD CD MA .TD SCDMAhasbeendecidedasthestandardforTDDmodeofthe 3rdGenerationmobileradiosystembyITU ,itisaimportantbreakthroughinacenturycom municationhistoryofChina .　InFDDmode ,Itneedawideenoughint…     

大规模MIMO时分双工系统的鲁棒预编码设计

对于采用大规模MIMO技术的时分双工系统,天线互易误差会破坏上下行信道互易特性,大幅降低预编码算法下行传输性能。由于实际系统难以完全消除天线互易误差,该文以最大化各用户平均信泄噪比为目标,根据天线互易误差的统计特性,设计了对该误差具有鲁棒性的线性预编码算法。同时为了进一步降低用户接收端的等效噪声功率,该文还将该线性鲁棒预编码算法扩展为基于矢量扰动的非线性鲁棒预编码算法,并通过减格辅助技术降低其扰动矢量求解复杂度,使其更适用于大规模MIMO系统应用。计算机仿真结果表明在存在基站天线互易误差条件下,该文所提出的线性与非线性鲁棒性预编码算法的性能均优于传统预编码算法的性能。