空时编码在瑞利衰落信道下的性能分析

以正交空时分组码为例讨论了空时编码技术的性能特征。给出了各种STC-OFDM系统的BER性能。理论分析和仿真结果表明,STBC-OFDM系统在频率选择性的瑞利衰落信道下,性能优于其它STC-OFDM系统。     

空间相关衰落信道下结合空时编码的自适应调制系统

研究了空间相关衰落信道下结合空时分组码的自适应调制系统（STBC-AM）的性能,推导出平均频谱效率和误码率的表达式。理论分析和数值计算结果表明,自适应调制提高了系统的频谱效率。空间相关虽然会造成系统性能的下降,但是当相关系数小于0.5时影响很小。即使相关系数为0.8时,STBC-AM还是远优于一般的自适应调制系统。     

频率选择性衰落信道中的空时分组编码系统性能研究

空时分组码（STBC）由于具有较高的分集增益和简单的编译方法，从而得到普遍关注。但是它只适于频率平坦信道，而实际的信道多为频率选择性信道。丈中将考虑两种适用于频率选择性信道的空时分组码系统方案：OFDM-STBC和SC／FDE-STBC方案，即考虑空时分组码与正交频分复用或单载波频域均衡结合。通过对OFDM-STBC和SC／FDE-STBC系统性能仿真结果的比较和分析，表明SC／FDE-STBC方案要优于OFDM-STBC方案。此外，文中也给出一些细致的仿真性能的观察。     

瑞利快衰落信道下STBC的译码器设计

Alamouti提出的空时分组码(STBC)发射分集技术,其优良性能及低复杂性的译码方案是限制在准静态衰落信道的情况下的,通过研究发现此系统在时变快衰落信道时性能会有严重的损失。为了改善系统在快衰落信道下的性能,提出一种最小均方误差(MMSE)线性译码器,该译码器能够同时抑制噪声和干扰。理论及计算机仿真证明,MMSE译码器用于空时分组码发射分集系统中可以有效地改善无线信道的时变快衰落对系统性能的影响。     

基于天线选择的自适应OFDM-STBC发射分集

基于空时分组码的正交频分复用技术(OFDM-STBC)是多天线多载波技术,将自适应功率分配技术用于OFDM-STBC,如何在载波和天线间分配能量是个关键问题.将待发射的信息分配到最有利的天线上传输接着利用载波间功率分配的算法进行载波间的功率分配,该算法的目标是使误码率最小.通过量化信道衰落简化了功率分配算法实现;通过量化功率分配因子的方式提高了无线链路的利用率.仿真结果显示:在误码率取0.1%时,对于有4个子载波的系统,较传统的算法,此算法能带来5dB的增益;随着系统载波数目的啬,性能进一步得到提高.     

空时码在Nakagami衰落信道下性能分析

基于Alamouti提出的BPSK调制下空时分组码在Rayleigh衰落信道中的简单分集方案。推导出多发射和多接收天线系统中正交空时分组码在Nakagami衰落信道的BPSK调制下的比特差错率的最小距离球界,并推广到在高阶调制下衰落信道中系统符号差错率的性能。仿真分析和比较了空时分组码的多天线系统中发射和接收天线分集增益,以及信道相关参数的变化对系统误比特性能的影响。     

在频率选择性相关信道中的空频分组编码技术

本文提出了频率选择性瑞利衰落信道中的对角空频分组码(DSF)，研究了码的性能。分析表明，在各天线对间的信道相互独立，系统有NT个发射天线，NR个接收天线和信道冲击响应长度是L时，DSF码可实现分集增益NRNTL。此外，相关的发射天线阵列会使DSF码分集增益下降，但是对码的性能影响不大，特别是在较长的多路径信道上。因此，DSF码对于相关的衰落信道显示出优越的鲁棒性能。最终仿真结果证实了本文的分析。     

基于STBC的MB-OFDM系统性能研究

在对多带（MB）OFDM UWB通信系统进行研究分析的基础上,提出一种基于空时分组码（STBC）的多输入多输出（MIMO）MB-OFDM超宽带通信系统,并详细介绍了系统模型和空时码的编译码原理,对系统性能进行了仿真。仿真结果表明,在改进的S-V多径信道环境下,和传统空时分组码相结合的MB-OFDM系统不仅具有更高的信道容量和分集增益,而且误码性能有所提高。     

快衰落瑞利信道下分布式线性卷积空时码的分集增益

在无线中继网络中,中继节点间的随机传输延迟将导致显著的性能下降。因此,针对慢衰落瑞利信道提出可容忍随机时延的分布式线性卷积空时码(DLC-STC),但该类空时码在快衰落信道下的分集性能尚未明确。该文从理论上证明了DLC-STC在快衰落瑞利信道下的分集增益。分析表明,DLC-STC虽然最初是在慢衰落信道下被提出的,但它在快衰落瑞利信道下通过利用最大似然(ML)接收机,仍可获得满异步协作分集增益,仿真结果验证了该理论分析,仿真结果同时表明：在快衰落瑞利信道下,DLC-STC采用MMSE-DFE接收机能够获得与ML接收机相同的分集增益。

     

移动衰落信道中的自适应OFDM调制

在宽带移动OFDM(正交频分复用)系统中，不同的子信道经受不同的信道衰落，具有不同的传输能力。若采用固定速率调制方案，信道容量和发送功率未能获得充分应用。自适应调制技术能充分利用信道容量和信号功率，满足不同传输速率和服务质量的要求。研究了一种适用于宽带移动OFDM系统的自适应算法。在平均发送功率不变务件下，算法根据子信道的衰落特性，自适应地分配子信道中数据比特，选择不同的信号星座和发送功率，使得系统的功率和频谱效率达到最佳。首先推导了在平均发送功率受限条件下，瑞利衰落信道中最大频谱效率；其次，分析了在给定误比特率(BER)条件下，采用连续功率、连续星座MQAM(多进制正交幅度调制信号)调制的最大功率频谱效率，在此基础上提出适用于实际系统的离散功率、离散星座MQAM调制算法；最后进一步优化系统的功率密度谱。计算机模拟表明：该算法能明显地提高移动OFDM系统的频谱效率。     

空时相关复合衰落多输入多输出信道模型研究

针对多输入多输出(Multiple-Input Multiple-Output,MIMO)无线传播环境,综合考虑路径损耗、阴影衰落和多径衰落影响,提出一种基于Nakagami-Lognormal分布的相关复合衰落MIMO信道模型,推导并获得各信道自相关和互相关系数的理论表达式;提出一种基于谐波叠加思想的复合衰落MIMO信道仿真方法,并分析了该方法输出信道衰落的空时相关特性.数值仿真结果表明:仿真模型输出统计特性均与理论模型吻合;各子信道之间存在互相关性且随阴影衰落方差减小而下降,而自相关性则呈现快速起伏并缓慢下降的特性.     

BER performance of linear STBC from orthogonal designs over MIMO correlated Nakagami-m fading channels

This paper presents the evaluation of the average bit error rate (BER) performance of linear space-time block codes (STBC) from orthogonal designs over correlated identically distributed Nakagami-m fading channels. Starting from the moment-generating function (MGF) of the multipath component signals at the antenna array elements, analytical expressions of the BER performance for both integral and nonintegral Nakagami-m fading parameters are derived. Closed-form expressions of the spatial cross-correlation function for mobile nonfrequency selective Nakagami-m fading multiple-input-multiple-output (MIMO) channels are obtained, which are valid for small angle-of-arrival (AOA) spread. In this expressions, various parameters of interest, such as the mean AOA of the signal, AOA spread, and array configurations, are all taken into account. The effects of antenna array configuration and the operating environment (mean AOA, AOA spread, Nakagami fading parameter) on the BER performance of the system are illustrated by several numerical examples.     

On channel estimation in cell-free massive MIMO for spatially correlated channels with correlated shadowing under Rician fading

This work addresses channel estimation (CE) in the uplink phase for a cell-free massive multiple-input multiple-output system operating under the time division duplex protocol. Considering that, channels are spatially correlated under the Rician fading model, where the investigated model is composed of two components: deterministic and nondeterministic, with the deterministic component describing the line-of-sight paths and the nondeterministic component describing the non-line-of-sight paths. Additionally, we dealt with correlated shadow fading that represents the most realistic situation. On the other hand, this work introduces a dynamic cooperation cluster framework in which the user is not served with the whole network ( i.e., all access points [APs]) but only the APs that present the best channel conditions regarding that user. In other words, this work proposes partial CE for each user because only APs with the best channel conditions are allowed to compute channel estimates. Consequently, we proposed partial channel estimators that perform the CE process with low complexity, namely, a partial minimum mean square error estimator and a partial element-wise minimum mean square error estimator. In addition, a simple pilot assignment technique is proposed in order to reduce interference signals so that each user experiences low interference from other users. Furthermore, the computational complexity required by each estimator is derived, where it is represented by the number of complex multiplications that each estimator requires in each consistency block. Theoretical and simulated results are provided, where the performance of each estimator is evaluated and analyzed using the normalized mean-square error metric.     

Capacity scaling in MIMO wireless systems under correlated fading

Previous studies have shown that single-user systems employing n-element antenna arrays at both the transmitter and the receiver can achieve a capacity proportional to n, assuming independent Rayleigh fading between antenna pairs. We explore the capacity of dual-antenna-array systems under correlated fading via theoretical analysis and ray-tracing simulations. We derive and compare expressions for the asymptotic growth rate of capacity with n antennas for both independent and correlated fading cases; the latter is derived under some assumptions about the scaling of the fading correlation structure. In both cases, the theoretic capacity growth is linear in n but the growth rate is 10-20% smaller in the presence of correlated fading. We analyze our assumption of separable transmit/receive correlations via simulations based on a ray-tracing propagation model. Results show that empirical capacities converge to the limit capacity predicted from our asymptotic theory even at moderate n = 16. We present results for both the cases when the transmitter does and does not know the channel realization     

Capacity of MIMO channels: asymptotic evaluation under correlated fading

This paper investigates the asymptotic uniform power allocation capacity of frequency nonselective multiple-input multiple-output channels with fading correlation at either the transmitter or the receiver. We consider the asymptotic situation, where the number of inputs and outputs increase without bound at the same rate. A simple uniparametric model for the fading correlation function is proposed and the asymptotic capacity per antenna is derived in closed form. Although the proposed correlation model is introduced only for mathematical convenience, it is shown that its shape is very close to an exponentially decaying correlation function. The asymptotic expression obtained provides a simple and yet useful way of relating the actual fading correlation to the asymptotic capacity per antenna from a purely analytical point of view. For example, the asymptotic expressions indicate that fading correlation is more harmful when arising at the side with less antennas. Moreover, fading correlation does not influence the rate of growth of the asymptotic capacity per receive antenna with high E/sub b//N/sub 0/.     

On spectral efficiency of low-complexity adaptive MIMO systems in Rayleigh fading channel

Adaptive MQAM modulation is used to maximize spectral efficiency of Multiple-Input Multiple-Output (MIMO) systems while keeping bit error rate (BER) under a target level. Closed-form expressions of the average spectral efficiency, coined as discrete-rate spectral efficiency (DRSE), are derived for adaptive modulation MIMO systems using different algorithms. To further enhance the spectral efficiency, a low complexity adaptation scheme is suggested to switch across different algorithms based on the DRSE. In the current letter, we investigate the adaptation scheme that switches between Orthogonal Space-Time Block Codes (OSTBC) and spatial multiplexing with zero-forcing (ZF) detection for MIMO systems with two transmit antennas. Two types of operating environment are considered: flat Rayleigh fading channel without spatial correlation and spatially correlated Rayleigh fading channel with transmit correlation.     

同信道干扰下相关多输入多输出信道容量分析

在Rayleigh衰落环境下,研究了具有同信道干扰的多输入多输出(MIMO)信道容量问题,分析了通信用户发送端带有空间相关性的情况。假设接收端完美地知道信道状态信息而发送端不知道,基于矩阵变量分布理论,推导出MIMO信道互信息之矩生成函数的精确闭式表达式。利用该表达式进一步推导出MIMO遍历信道容量的精确表达式。用数值结果验证了分析结果的正确性,并给出各种参数对遍历信道容量的影响。     

基于平均参量反馈信道模型的自适应MIMO-OFDM系统分析

该文首先分析了基于二维波束及Alamouti编码的MIMO-OFDM系统模型,针对实际情况中发射端已知部分信道状态的情况,提出了在平均参量反馈信道模型下的最优自适应比特和功率分配算法.该算法利用拉格朗日算法将约束条件下的最优化问题进行转化,并采用对分算法加快搜索最优拉格朗日乘子的收敛速度.仿真结果表明,该算法不仅可以在满足目标BER及发射功率的情况下保证较高的数据传输率,并且计算复杂度低于传统算法.     

Computing the capacity of a MIMO fading channel under PSK signaling

We study the constrained capacity of a multiple-input multiple-output (MIMO) fading channel with a phase-shift keying (PSK) input alphabet and show a uniform prior distribution is capacity achieving. An expression for the capacity is derived which requires a single expectation and can be evaluated easily through simulation. The simulations are facilitated by analytical expressions for the eigenvalues and eigenvectors of a required covariance matrix. The derived expression is used to provide good approximations to the capacity at low signal-to-noise ratios (SNRs) as well as to compare the input-constrained MIMO capacity to the unconstrained MIMO capacity.