Multi-criteria user selection scheme for learning-based multiuser MIMO cognitive radio networks

For multiuser multiple-input-multiple-output (MIMO) cognitive radio (CR) networks a four-stage transmiision structure is proposed. In learning stage, the learning-based algorithm with low overhead and high flexibility is exploited to estimate the channel state information (CSI) between primary (PR) terminals and CR terminals. By using channel training in the second stage of CR frame, the channels between CR terminals can be achieved. In the third stage, a multi-criteria user selection scheme is proposed to choose the best user set for service. In data transmission stage, the total capacity maximization problem is solved with the interference constraint of PR terminals. Finally, simulation results show that the multi-criteria user selection scheme, which has the ability of changing the weights of criterions, is more flexible than the other three traditional schemes and achieves a tradeoff between user fairness and system performance.     

A new control method for MIMO first order time delay non-square systems

This paper proposes a new method using internal model control (IMC) to design Smith delay compensation decoupling controller for multivariable non-square systems with transfer function elements consisting of first order + time delay. This proposed method is applied to a shell control problem in multiple-input-multiple-output (MIMO) first order plus dead time non-square systems in which the number of input variables exceeds the number of output variables, with input and output variables being 3 and 2 respectively. This method does not only dynamically compensate for shortcoming caused by static decoupling but also overcomes the impact of model error on system performance caused by model approximation and uncertainty. In other words, the design method proposed in this paper is capable of significantly improving dynamic quality and robustness of the control system as can be seen from the simulation results. Moreover, this new method is simple and easy to implement. Integral of squared error (ISE) performance criterion is employed to quantitatively evaluate the design method.     

RCPC编码MIMO系统的性能分析

摘要：研究相关Nakagami—m衰落信道上宽带MIMO WCDMA系统下行链路使用2D—RAKE接收机和码率兼容删除卷积码(RCPC)的误码性能。假定宽带MIMO信道可用抽头延迟线来模拟并具有指数型多径强度轮廓。使用Q(x)的另一种数学表达式和特征函数，推导RCPC编码系统的精确成对差错概率和误码性能联合限。数值计算结果表明组合编码和空问路径分集技术能显著改善MIMO WCDMA系统的误码件能。     

光多输入多输出系统信道容量的研究

提出了一种发射端不同偏置入射、接收端由多段检测器(MSD)构成检测器阵列的多模光纤多输入多输出(MIMO)系统.通过对MIMO信道矩阵的计算,研究了这种系统的信道容量随激光器和MSD的数目、距离、光束宽度和接收信噪比(SNR)等参数的变化情况.结果表明:光MIMO信道容量随激光器和MSD数目的增加而线性增加,增加入射光斑的尺寸会使信道容量增加的斜率变大并逐渐趋于饱和;入射光斑间的距离和MSD的构成对MIMO信道容量也有较大影响,尤其是当激光器和MSD数目较大时,需要足够大的距离才能提供信道响应在空间的差异性;对于模式足够丰富的N×N的MIMO系统,SNR每增加3 dB,信道容量会增加Nbps/Hz.     

基于天线波束成形的OFDMA系统的自适应资源分配

对正交频分复用接入系统在多用户多天线传输情况下的自适应资源分配策略进行了研究,提出了一种基于天线波束成形的,包括动态子载波分配、自适应调制、比特加载的无线资源分配方案.算法的优化设计目标是在满足总的恒定传输比特数和误比特率性能要求的情况下,使得系统总的发射功率最小.仿真结果表明,由于多天线阵列增益和多用户分集增益,系统整体性能得到了明显的优化.     

大气光通信中迭代检测算法研究

基于对数正态(L-N)湍流信道模型,研究了LDPC编码大气光通信多输入多输出(FSO-MIMO)系统迭代检测算法。分析了内迭代与外迭代次数对系统性能及计算复杂度的影响,并针对PDA检测算法复杂度高的问题,提出了一种基于反馈阈值的M-PDA迭代检测算法。改进的算法利用译码输出的比特先验信息对发送比特进行分类,从而降低检测复杂度,并通过选取合适的阈值,可以获得更好的检测性能。仿真结果表明,实验时需要综合考虑计算复杂度和性能,选取合适的内外迭代次数,仿真条件下,误码率为10-5、反馈阈值为0.7时,可以获得0.15dB的性能增益。     

简化的固定复杂度球型译码算法

提出一种适用于多输入多输出通信系统的简化的固定复杂度球型译码算法.研究多天线接收信号的概率分布,根据接收信号满足卡方分布的特性,提出利用累计分布函数,结合检测错误上限,确定裁剪半径,将检测过程中大于该裁剪半径的节点裁剪掉.仿真结果表明,简化的固定复杂度球型译码算法在高信噪比的情况下,可以有效降低计算复杂度.     

频率选择性MIMO衰落信道中基于导频的软均衡算法

MIMO无线传输技术的有效应用有赖于高效的空时干扰抑制策略.针对频率选择性衰落MIMO信道特点,本文提出一种联合判决反馈干扰抵消和粒子滤波的软均衡方案.首先利用导频,确定了各发送信号最强径与接收天线之间的对应关系以及基于信干噪比的判决反馈干扰抵消顺序;其次,依据后验估计准则,充分利用径强度及接收信号结构信息,构造了接收信号的重要性分布函数,采用粒子滤波算法对感兴趣用户信号实施最优判决并进行干扰抵消.仿真结果表明:相比于其他均衡方法,本算法可以有效抑制均衡误差的传播,同时具有较低的计算复杂度.     

Nakagami衰落信道上编码MIMO WCDMA系统性能分析

研究了多址干扰下,MIMO WCDMA系统发射端采用空时分组码和卷积码、接收端采用最大比合并天线分集和软判决译码方案的误码性能。使用Q(x)的另一种数学表达式和信干噪比的矩生成函数,推导了Nakagami-m衰落信道上存在多址干扰以及发射端发射不等功率下,卷积编码系统的成对差错概率和误码性能联合限。讨论了在各种编码方案下空间路径分集接收机的误码性能。数值计算结果表明组合空间分集和卷积编码能显著改善MIMO WCDMA系统的误码性能。分析结果适用于MIMO WCDMA系统的上下行链路。     

Performance analysis of uplink MIMO MC-CDMA systems based on linear zero-forcing V-BLAST algorithm

A structure was proposed for multiple-input-multiple-output multicarrier code divi- sion multiple access （MIMO MC-CDMA） uplink transmission system. Linear zero- forcing V-BLAST （ZF V-BLAST） algorithm and maximum ratio combining （MRC） scheme was applied to the receivers. The average bit error rate （BER） expression was derived on condition that the number of receive antennas was larger than that of transmit antennas and it was verified by simulations. Numerical results show that the number of transmit and receive antennas, as well as the number of sub- carriers, all exert significant effects on the BER performance. The space diversity and frequency diversity show different abilities to improve the BER performance. The MIMO MC-CDMA system based on linear ZF V-BLAST algorithm is capable of achieving better BER performance than that of the conventional MC-CDMA system by reducing the number of transmit antennas or increasing the number of receive antennas.