A Low Complexity Downlink Beamforming Scheme for DS-CDMA System

The downlink capacity of frequency division duplex (FDD) based DS-CDMA system can be improved if multielement antenna array is equipped at the base station. In this paper, a novel two-path downlink beamforming (TPDB) scheme is proposed to reduce multiple access interference as well as providing two-order path diversity in downlink. An analysis model is presented for the capacity evaluation of multirate DS-CDMA system with base station antenna array, and the capacity performance of the TPDB is compared with other schemes based on this model. The comparison results show that the TPDB would be a promising candidate for the downlink transmission if both performance and implementation complexity are considered. Moreover, a simple algorithm is proposed for the steering vector estimation in the TPDB, and the robustness of this estimation algorithm in the presence of fading and interference is also confirmed by computer simulations.     

Beamforming for Downlink Multiuser MIMO Time‐Varying Channels Based on Generalized Eigenvector Perturbation

A beam design method based on signal‐to‐leakage‐plus‐noise ratio (SLNR) has been recently proposed as an effective scheme for multiuser multiple‐input multiple‐output downlink channels. It is shown that its solution, which maximizes the SLNR at a transmitter, can be simply obtained by the generalized eigenvectors corresponding to the dominant generalized eigenvalues of a pair of covariance matrices of a desired signal and interference leakage plus noise. Under time‐varying channels, however, generalized eigendecomposition is required at each time step to design the optimal beam, and its level of complexity is too high to implement in practical systems. To overcome this problem, a predictive beam design method updating the beams according to channel variation is proposed. To this end, the perturbed generalized eigenvectors, which can be obtained by a perturbation theory without any iteration, are used. The performance of the method in terms of SLNR is analyzed and verified using numerical results.     

一种下行多用户MIMO系统中的鲁棒波束形成算法

提出了一种下行多用户MIMO系统中的鲁棒性线性处理算法.该算法利用了信道均值和天线相关矩阵等信道统计信息,在总发射功率不大于目标值的约束条件下,能够使所有用户的均方误差(total mean square error,TMSE)在随机信道上的平均值最小.该算法不明显依赖瞬时信道信息(channel state information,CSI),当信道估计得到的CSI不准确时,它能够有效降低由CSI偏差带来的性能损失.仿真结果表明提出的算法能够有效地降低由于不准确CSI带来的误码率和平均MSE的损失.     

CDMA系统下行链路容量研究

本文从基本的码分多址(CDMA)理论出发,根据WCDMA系统建立系统模型,从基站发射功率受限和小区间的相互干扰与影响的角度入手,结合计算机仿真,对CDMA系统的下行链路的容量特性作了分析与计算,分析了传播环境、小区半径、切换门限等参数对下行容量的影响,并使用计算机仿真对分析结果作了验证.对比表明,该分析结果与计算机仿真所得结果吻合的较好,可以作为分析、设计CDMA网络的基础.     

无线通信中基于线性预测和参数反馈的下行波束形成方法

本文基于最大信号噪声比准则(MSNR，Maximum Signal Noise Ratio)提出一种新的下行波束形成方法，即根据天线收发的互易性原理，通过上行波束形成得到的上行天线阵列矢量，变换而得到下行天线阵列矢量，再通过移动端Rake接收机的合作，反馈回每一径的衰落系数，考虑到存在传输和处理时延并且在此时间内信道有明显变化时，反馈的衰落系数存在误差。因此，本文采用了信道预测的方法，估计即时衰落系数，这样求得期望信号的相关矩阵，计算相应的最大广义特征值所对应的特征矢量，进行下行波束形成。     

MISO系统下行波束赋形及仿真

研究了基于TD-SCDMA系统的下行波束赋形,利用最大信干噪比准则计算出天线的加权系数,在发送端进行赋形,并做了仿真,结果表明下行波束赋形能明显降低接收端误码率,进而降低了基站发射功率。     

Multiuser MIMO Systems with Random Transmit Beamforming

This paper considers the wireless downlink transmissions in a single cell environment, for which the base station (BS) is assumed to schedule its transmission to each mobile station (MS) on a time-slot basis. Only one MS is selected for transmission during each time-slot and the selected MS possibly changes from one time-slot to another. This transmission scheme is thus referred to as dynamic time-division multiple-access (D-TDMA). Random transmit beamforming with the feedback of effective signal-to-noise ratio (ESNR) was proposed by Viswanath and Tse [IEEE Transactions on Information Theory, Vol. 48, No. 6, pp. 1277–1294, 2002] for D-TDMA-based systems in which multiple transmit antennas are equipped at the BS but only single receive antenna is equipped at each MS, or the so-called “MISO” systems. It was also shown in [Viswanath and Tse, 2002] that when the number of MSs in the system becomes large, the system throughput achieved by random transmit beamforming converges to that by coherent transmit beamforming which, however, requires the complete channel state information (CSI) of each MS at the BS. This paper extends upon the work in [Viswanath and Tse, 2002] to a more general scenario for which multiple transmit antennas and multiple receive antennas are equipped at the BS and each MS, respectively, or the so-called “MIMO” systems. We also consider several linear and nonlinear receiver structures and propose novel power allocation schemes to further improve the achievable system throughput. The throughput performance of the proposed receivers and power allocations schemes is compared through computer simulations and their fast convergence to the system throughput by coherent transmit beamforming is demonstrated.

Performance of a Digital Beamforming Concept in a GSM1800 Downlink: A Simulation Study

A smart antenna concept was studied in the context of a GSM1800 downlink. In practice, it is not possible to estimate the actual downlink channel when using frequency division duplexing (FDD). Therefore, the current approach is based on uplink direction-of-arrival (DoA) estimation. The downlink beam is then directed to the DoA obtained from the uplink. The purpose was to study the dependence of downlink performance on the angular and delay distribution of the desired signal. The downlink beamforming was studied in this work using simulations with 2D channel models for different test environments. The probability of error in DoA estimation of the desired mobile station was evaluated in conjunction with DoA averaging. In addition, downlink BER performance was examined in a noise-limited situation and compared to the results of the corresponding uplink and a conventional 2-branch GSM receiver. With a 1*8-element antenna configuration, downlink performance degradation compared to the corresponding uplink case was approximately 1.3 dB, 2.4 dB, and 0 dB in typical Urban, Suburban, and Rural environments. The losses were greater in environments with very large angular spread. It was also found that increasing accuracy in uplink DoA estimation does not necessarily correspond to improved downlink performance.     

Space-Time Coded Beamforming for DS CDMA Downlink

1　Introduction　 In 3G mobile system, Code Division Multiple Access(CDMA) is a promising multiple access techniques. It iswell know that BeamFormin ( BF), Space Time Coding(STC) and Multiuser Detection(MUD) techniques in CDMAsystem can effectively resist Multi Path Interference (MPI),MAI and near far effects. So the system capacity will be im proved greatly by employing these techniques[1,2,8]. In Ref.[3] introduces Water Filling(WF) theory into STC to assignth…     

LTE-Advanced中的下行8天线码本设计

LTE-Advanced在LTE下行MIMO4天线的基础上引入8天线的设计,预编码码本的设计是很重要的一项内容,影响到上行反馈模式和反馈开销等,因此需要针对8天线的配置优先场景,设计出性能和开销均为最优的码本。本文讨论了3GPP对8天线配置场景的优先级,分析了3种具体的码本设计方案,包括基于波束扫描的码本（GoB码本）、差分码本和自适应码本,并从性能、开销等方面比较了3种码本设计方案,最后对3GPP最终采用的8天线码本设计方案原理进行了介绍。     

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.     

智能天线非理想波束赋形对TD-SCDMA系统性能的影响

在实际的无线网络中,由于无线信道的复杂性以及DOA估计的误差,会导致智能天线系统的波束赋形出现一定程度的偏差。该文通过分析智能天线系统的原理,提出了非理想波束赋形智能天线对系统性能影响的研究方法,研究了智能天线系统的鲁棒性以及不理想波束赋形的智能天线对TD-SCDMA系统性能的影响。理论和仿真结果表明,波束赋形的准确度直接影响移动通信系统的性能,系统所能容忍的波束赋形偏差有一个固定的门限值,该门限值随着系统负载的增加而减小。     

大规模MIMO系统中基于溢出概率的鲁棒协作波束设计

大规模多输入多输出(Massive MIMO)技术通过在基站端配置大规模天线能有效提升5G蜂窝系统容量。考虑信道估计误差对系统性能的影响,该文在多小区大规模MIMO系统中形成了用户信干噪比的非溢出概率约束下最小化系统功率的优化问题。针对非凸概率约束中下行波束难于求解的问题,该文根据矩阵迹的性质将优化问题中的非凸约束缩放,进而提出上下行对偶算法求解波束矢量。为进一步减少多小区系统中信令开销,基于大系统分析,提出了仅采用大尺度信息的分布式算法。仿真结果表明,所提的分布式算法与对偶算法相比,在保证用户信干噪比的概率约束时,降低了大规模MIMO系统中传输瞬时信道状态信息的开销,同时具有良好的鲁棒性。     

5G下行CoMP技术研究及测试验证

对于同频干扰严重的重叠覆盖场景,CoMP可提高边缘用户SINR,降低小区间干扰,提高边缘用户的吞吐率.对下行CoMP技术进行介绍,并重点介绍了5G下行CoMP与技术与LTE下行CoMP的主要差异,5G下行CoMP JT的基本原理以及具体的实现流程.针对2种场景,对5G下行CoMP JT技术进行了性能验证及分析.测试结果...     

多入多出正交频分复用多播波束成形优化

为保证多播服务质量(QoS)要求,建议一种所有组成员满足信号与干扰加噪声比(SINR)门限的功率约束下多输入多输出-正交频分复用(MIMO-OFDM)波束成形优化模型,提出在最大化多播MIMO分集策略下接收波成形算法,并得到发射波成形和接收波成形矢量及满足QoS要求所需最小发射功率。通过仿真与性能分析,证明满足最小SINR要求的波成形优化方法不仅能得到最小发射功率,同时具有改善多播用户间公平性的特性,并得到一些重要结论。     

TD-SCDMA系统中基于上行参数的下行波束赋形算法

在TD－SCDMA系统中，我们在基站发送端进行波束赋形来提高下行链路的性能。以最优准则－最大信干噪比特征分解算法为例，我们分析基于上行参数进行下行赋形的基本原理，模拟了不同环境下赋形算法的性能，并与全向情况进行比较，得出了相应的结论。     

针对循环频率误差的稳健CAB算法

当循环频率估计存在误差时,循环自适应波束形成算法的性能会显著下降。针对这一不足,本文提出了对循环频率误差稳健的循环自适应波束形成算法。仿真实验表明,当存在循环频率误差时,本文提出的算法性能接近没有循环频率误差时循环自适应波束形成算法的性能。     

基于GGASA算法优化信号互相关的MIMO雷达波束形成技术

MIMO(Multiple-input Multiple-output)雷达系统的单元或子阵辐射互不相同的波形,提供了足够的自由度用于天线波束的灵活成形和捷变,可以作为常规相控阵和正交雷达信号MIMO体制的通用化推广。在研究分析具有任意互相关特性的信号集合的选择综合波束方向图的基础上,采用全局遗传模拟退火算法对MIMO雷达的波束综合问题进行了最优化搜索,仿真结果显示,该算法获得了较好的结果。     

多用户MIMO下行链路中线性预编码器和译码器的联合优化

文章研究多用户MIMO下行链路中线性预编码器和译码器的联合优化问题。采用的优化准则是在总发射功率约束下最小化系统的和均方误差（Sum MSE,SMSE）,提出了一种启发式的迭代算法。通过在接收端引入相同的自动增益控制因子,该算法对预编码器和译码器进行交替优化,直到SMSE达到最小值。分析和仿真结果表明：该算法具有较低的复杂度和良好的收敛特性,符号差错率也优于现有算法。     

基于扩频信号的MIMO雷达波束形成研究

多输入多输出雷达使用多个发射天线发射独立的信号,使用多个天线接收回波信号,对回波信号进行分离,相当于形成一个大的虚拟阵列。这里使用二进制扩频码分多址信号作为不同发射天线的发射信号。由于编码相关产生的高旁瓣,传统距离压缩方法不能产生恰当的目标距离像。使用Capon波束形成方法来降低距离旁瓣,同时产生更高的角度分辨率,可用于对目标成像。