多用户MIMO下行链路线性收发机设计

该文提出一种以最小化系统总均方误差(Sum MSE)为准则,迭代设计线性收发机的方案。该方案通过对接收机的改进设计,能够有效地避免传统MMSE设计过程中出现的拉格朗日乘子不易计算的缺点,大大降低设计复杂度。由于拉格朗日乘子有解析解,发射预编码矩阵也有闭式解,并且可以通过定点迭代算法有效解出。收端的接收机也不用基站下发,只要各自采用MMSE均衡即可。仿真结果证明该方法的有效性。     

基于上下行对偶性的多用户MIMO下行链路鲁棒收发机设计

针对多用户多天线(MIMO)下行链路信道状态信息(CSI)非理想的条件,该文研究SINR平衡问题及功率最小化问题的收发机设计。在信道误差受限情况下,该文建立worst-case SINR上下行链路对偶性,并基于该对偶性,为两种鲁棒收发机提出新的设计策略。该策略避免了凸优化内点迭代算法,从而大大降低复杂度。仿真结果显示,所提算法与现有的凸优化算法性能一致。     

SINR约束下的MIMO多用户下行链路预编码

基于SINR约束下的MIMO多用户下行链路的预编码设计准则,给出了一虚拟上行链路的构造方法,同时利用该虚拟上行链路和下行链路之间的对偶性,提出了对发射端和接收端的线性处理进行优化的迭代算法。该算法可以交替优化各路数据分配的功率、发射权向量和接收权向量,直至算法收敛。     

多用户下行链路收发机鲁棒性优化算法

该文提出了一种多用户MIMO系统中预矩阵及其匹配接收矩阵的鲁棒性优化算法。针对信道估计误差构造均方误差代价函数,在发射功率受限的约束条件下联合设计发射和接收矩阵,推导出了采用线性多用户MMSE接收时的最优收发机迭代算法。仿真表明,系统具有良好的鲁棒性。     

MIMO下行链路中的多用户调度算法

针对采用随机波束成形的MIMO下行链路,提出了一种多用户调度算法。在接收端利用每个用户在各个波束方向上的比例公平性参数来得到容量门限。仿真结果显示,这种调度算法相比其他门限调度算法,在系统性能无明显损失的情况下,有效地减小了反馈量。     

多用户MIMO系统下行传输技术研究

对下一代无线通信系统的热点研究问题即多用户多输入多输出(MIMO)系统的各种下行传输技术进行了归纳和总结。从发射和接收信号线性预处理和非线性处理的角度,深入分析了多用户MIMO系统下行传输技术中各种信号处理算法的优点和局限性,并进一步给出了未来极具潜力的研究方向,为选择合适的多用户MIMO系统下行传输技术提供了很好的参考和借鉴。     

多用户MIMO下行链路中线性预编码器/译码器设计

研究多用户MIMO下行链路中最小和均方误差意义下线性预编码器/译码器的设计问题.针对该非线性、非凸性的优化问题,传统的联合优化算法性能有限且复杂度较高.提出一种新的设计方案.该方案首先利用信道正交化技术将MIMO下行信道分解成多个并行的等效单用户MIMO信道,然后通过解这些等效MIMO信道上的单用户均方误差最小化问题来获得和均方误差最小问题的近似解.仿真结果显示,该方案的性能要优于传统的联合优化算法.     

考虑收发机损耗的多小区多用户下行链路波束成形算法

在现有收发机损耗模型基础上以最小化最差用户均方误差或者最小化用户均方误差之和为优化目标,设计一种考虑收发机残留损耗的多小区多用户下行链路波束成形算法。通过将优化问题转化成二阶锥规划的标准形式,并设计分层优化迭代算法来求解原始问题。数值仿真表明,相对于传统收发机的波束成形算法而言,所提算法将极大地减小收发机损耗对系统性能的影响,进而显著提高系统性能。     

多用户MIMO—CDMA系统下行链路设计及MATLAB仿真

MIMO(Multi-Input Multi-Output)技术是最可能应用到未来无线通信系统中的关键技术之一,多用户MIMO-CDMA是MIMO技术领域研究的最新发展。文章概述了多用户MIMO-CDMA下行链路的系统结构,提出了一种基于帧结构的可供DSP实现的多用户MIMO-CDMA全系统的仿真模型,接收端采用MRC最大似然接收提高了系统的接收分集增益,最后对不同用户数和不同PN长度条件下的多用户MIMO-CDMA系统进行了性能分析和评价。     

多用户MIMO系统下行链路的随机多波束复用技术

该文提出了一种随机多波束多用户复用技术,充分利用多用户分集以及基站多天线的空间自由度来提高系统吞吐量。不同于传统的随机波束形成技术,该技术首先在给定预编码码本内随机选取一个码字,然后调度多个空分复用用户以及其余预编码矩阵。该文采用了一种逐次调度的方式,第一次训练调度一个主发送用户并确定一个次发送预编码矩阵,通过第二次训练选择次发送用户,这种方式能以很小的反馈开销有效控制复用用户之间的相互干扰。同时,该文所提技术能进一步推广到用户具有不同天线配置的异构情形。仿真结果表明,该文技术在具有不同相关性的信道环境下都能获得较优的系统吞吐量。     

Linear transceiver design for multi-user MIMO downlink

An iterative linear transceiver design scheme under sum mean squared error minimisation criterion is proposed. By modifying the structure of the transceiver, the complex computation of the Lagrangian multiplier within the traditional MMSE transceiver design can be effectively obviated, and thus the whole system complexity can be greatly reduced. Because the Lagrangian multiplier has an analytical solution, the transmit precoding matrix also has a closed-form solution, and can be solved easily with fixed-point iterations.     

Linear transmitter precoding design for downlink of multiuser MIMO systems

Presented is the design of a set of linear transmitter precoding vectors for the downlink of a multiuser MIMO system, using the maximum signal-to-jamming and noise ratio for each user criterion, subject to a transmit power constraint. The proposed scheme does not impose any restrictions on the number of transmit antennas as do many conventional methods. Simulation results have shown the superiority of the proposed scheme compared to the conventional transmitter precoding schemes.     

On transceiver design and channel quantization for downlink multiuser MIMO systems with limited feedback

We consider a MIMO broadcast channel where both the transmitter and receivers are equipped with multiple antennas. Channel state information at the transmitter (CSIT) is obtained through limited (i.e., finite-bandwidth) feedback from the receivers that index a set of precoding vectors contained in a predefined codebook. We propose a novel transceiver architecture based on zero-forcing beamforming and linear receiver combining. The receiver combining and quantization for CSIT feedback are jointly designed in order to maximize the expected SINR for each user. We provide an analytic characterization of the achievable throughput in the case of many users and show how additional receive antennas or higher multiuser diversity can reduce the required feedback rate to achieve a target throughput.We also propose a design methodology for generating codebooks tailored for arbitrary spatial correlation statistics. The resulting codebooks have a tree structure that can be utilized in time-correlated MIMO channels to significantly reduce feedback overhead. Simulation results show the effectiveness of the overall transceiver design strategy and codebook design methodology compared to prior techniques in a variety of correlation environments.     

多用户MIMO下行收发联合波束成形

针对随机波束成形(RBF)只有在包含大量用户的系统中才能获得较好性能的局限性,提出了一种新的收发联合波束成形方案,用于多用户多入多出(MIMO)下行链路传输。该方案有效地结合了RBF与接收天线合并技术。分析及仿真结果表明,即使在用户数为中等甚至较小时仍然能获得较高的和速率性能。由于每个用户的反馈开销没变,从而使获得同样和速率时系统的总反馈开销明显减少。仿真结果还显示,所提方案的和速率性能不仅优于原RBF,也比RBF结合最大比合并或者等增益合并的性能有明显改善,同时还保持了最优的随用户数变化的增长速度。     

Penalty function-based precoding for downlink multiuser MIMO systems

In this paper, a novel linear precoding scheme is proposed for downlink multiuser multiple-input multiple-output (MIMO) systems. The new algorithm uses the penalty function method to mitigate the co-channel interference and is formulated as a convex problem with general linear constraints. The constraints can be sum power, per-antenna power or per-antenna-group power constraints, hence the new algorithm is general and can be used in both single-cell and fully cooperative multi-cell scenarios. Moreover, the famous block diagonalization (BD) precoding can be considered as a special case of our method when a very large penalty factor is used. We study the optimal solution of this convex problem and propose an iterative algorithm to obtain the optimum based on the Lagrange dual method. Simulation results show that the proposed method significantly outperforms the BD method at low and moderate SNR values in terms of the weighted sum rate.     

Joint linear transmitter and receiver design for the downlink of multiuser MIMO systems

In this letter, we address the problem of designing jointly the linear transmitter and receiver for the downlink of Multiuser MIMO system, using minimum total mean square error criterion (T-MMSE), subject to a total transmit power constraint. We show that transmitter and receiver under such criterion could be realized through a joint iterative algorithm. The convergence of the proposed algorithm is proved. Simulation results have also been provided to demonstrate the feasibility of this new method.     

MMSE multiuser downlink multiple antenna transmission for CDMA systems

In this paper, we propose a new downlink transmit antenna processing (TAP) technique for code division multiple access (CDMA) equipped with multiple transmit antennas. In order to find the weight vectors for downlink signals, a minimum mean square error (MMSE) performance criterion is used. Since the multiuser interference is taken into account in the calculation of the weighting vectors for TAP, the proposed method is a multiuser downlink TAP method. It is assumed that the downlink channels are known by the downlink TAP. For given channel conditions, the optimal weight vectors are found with a closed-form expression under both flat and frequency-selective fading channel assumptions.     

MIMO系统下行多用户线性疏散空时编码设计方案

针对使用了MIMO传输技术的单小区下行移动通信系统,在基站只能以有限个数据速率下传数据给移动台的条件下,给出了使得每个移动台接收信噪比达到最大的多用户线性疏散码所对应的组合优化问题,并给出求解该组合优化问题的低复杂度次最优算法.所给出的线性疏散码的设计方案,克服了前人连续数据传输速率的限制,更加接近实际系统.仿真结果表明,此算法性能较前人算法有所改进.     

Coordinated beamforming with reduced overhead for the downlink of multiuser MIMO systems

We consider the coordinated beamforming for the downlink of multiuser multiple-input multiple-output (MIMO) systems. Since each mobile needs to obtain effective channel parameters by using dedicated pilots each beamformed by a user-specific transmit beamformer, the pilot overhead increases linearly with the number of users. In this paper, we propose a novel technique that reduces the pilot overhead using the orthogonal property of effective channels. Simulation results show that the proposed approach achieves higher sum-rate, because unused pilot tones can be utilized to transmit additional data instead.     

MIMO中继下行通信系统中的多目标优化设计

针对通信系统中系统功率消耗和接收信号均方误差(MSE)存在冲突关系,无法同时达到性能最优的情况,采用多目标优化(MOO)框架联合优化系统功率消耗和接收信号MSE.文中考虑两跳的多入多出(MIMO)放大转发(AF)中继下行通信系统.联合优化形成的多目标优化问题是非凸且难以直接求解的,为此,提出一种基于帕累托最优策略的资源分配方法,该方法采用加权切比雪夫法,并引入中继预编码矩阵的一般结构和Schur补引理将优化问题转化为SDP问题.仿真结果验证了所提出方法的有效性,表明其具有更好的性能,同时也给出了系统功耗和MSE性能之间的帕累托最优边界.