(论坛）加入信道估计误差的 MIMO双向中继最大和速率的研究

本文主要研究一个中继和两个用户,用户和中继都是多天线的系统信道模型。双向中继相比于单向中继可以提高系统的频谱效率。本文我们在信道估计中引入了误差,然后利用梯度下降迭代算法计算基于最大和速率下的权值矩阵F。运用公式计算最大和速率和误码性能,仿真结果表明,在信道误差达到一定大的情况下,在高信噪比的时候系统的性能受到较大影响。     

加入信道估计误差的MIMO双向中继最大和速率的研究

主要研究一个中继和两个用户,用户和中继都是多天线的系统信道模型。双向中继相比于单向中继可以提高系统的频谱效率。我们在信道估计中引入了误差,然后利用梯度下降迭代算法计算基于最大和速率下的权值矩阵F。运用公式计算最大和速率和误码性能,仿真结果表明,在信道误差达到一定大的情况下,在高信噪比的时候系统的性能受到较大影响。     

MIMO广播信道中联合多用户速率和延迟约束调度的研究

该文给出了一种多入多出高斯广播信道中具有延迟约束的多用户无线数据包的传输方案。首先,在信道的QR分解及脏纸编码基础上,通过贪婪算法获取多用户分集与包延迟约束之间的有效结合。其次,将包到达速率、可达服务速率、用户数以及传输天线数构成一优化问题,得到最佳的用户组合及调度周期。最后,在不同用户数及发射天线数情况下对该方案进行了性能仿真,仿真结果表明：在满足包传递最小延迟等待要求的同时,得到了传输容量的最大化。     

获取高斯MIMO广播信道和容量域的一种方法

针对脏纸编码方法很难直接计算广播信道和容量域边界值问题,提出了一种计算多接入信道和容量的迭代注水算法以及获取最大和容量的次优传输策略,利用广播信道与多接入信道的对偶性,将该和容量结果和传输策略通过简单的映射关系转换成广播信道和容量的边界值和优化传输策略。数值结果表明所提的迭代算法简单有效,给出的传输策略可以有效逼近广播信道理论和容量边界,在MIMO下行链路中可得到应用。     

MIMO信道中衰落信号的空域相关性评估

将MIMO(多输入多输出)信道建立为Nakagami衰落信道,进一步推导单元天线接收多径衰落信号的空域相关系数的通用解析式,并在均匀分布、余弦分布、高斯分布和拉式分布的来波功率角谱下分别进一步评估接收信号的空域相关性,分析各参数对相关系数的影响,比较各种来波功率角谱下相关性的数值结果,这些对于准确分析MIMO系统性能与设计MIMO多天线系统是十分必要的.     

高斯和衰落信道下BICM系统的截止速率

重点研究了基于相干检测条件下的比特交织编码(B it-Interleaved Coded M odu la-tion-B ICM)系统,针对16-QAM、8-PSK和QPSK调制方式,仿真比较了高斯信道和频率非选择性瑞利信道下的截止速率。发现在发送端与接收端已知和未知信道特性时,相应的截止速率也不同。这可以为系统设计提供性能参考。     

复合衰落信道下分布式MIMO系统下行中断概率分析

针对复合衰落信道模型下分布式MIMO系统下行中断概率问题,首先建立了一个综合考虑Nakagami-m衰落、路径损耗和阴影衰落的复合衰落信道模型;然后针对存在中心基站的分布式MIMO系统,提出了一种更符合实际应用环境的准均匀小区移动台分布模型;接着利用矩生成函数、Gauss-Hermite积分公式和Simpson积分公式等数学手段推导了任意移动台分布下、单小区内系统平均下行中断概率闭合表达式;最后将准均匀移动台分布模型应用到该中断概率闭合表达式,并通过MATLAB仿真证明了所推导得到的闭合表达式及小区分布模型的合理性。     

隐含训练序列信道估计中的功率分配

与传统时分发送训练序列的信道估计算法相比,隐含训练序列信道估计算法将训练序列与信息序列直接相加后通过天线发送,从而节约了信道带宽。然而,在天线发送总功率一定时,训练序列的功率越大,信息序列的功率便越小,从而导致信道均衡器的信噪比减小。本文研究了基于MIMO系统的隐含训练序列信道估计算法,分析了信道均衡器信噪比与训练序列功率的关系,并根据均衡器信噪比最大原则推导出训练序列与信息序列的最佳功率分配。分析和仿真结果表明：在训练序列的最佳功率点上,信道均衡器的信噪比最高;随着接收天线信噪比的增加,训练序列的最佳功率增大。     

空时频互相关MIMO衰落信道仿真及其性能分析

本文针对频率选择性MIMO信道,提出扩展的抽头延迟线模型,推导出各抽头之间的互相关函数,得出了抽头之间相互独立的条件,并且针对MIMO信道的抽头延迟线模型,给出了AR模型仿真实现算法,最后用文献资料中的数据验证了仿真算法的准确性。     

MIMO的反馈信道研究

该文提出了在闭环MIMO容量研究中引入了率失真理论的研究方法,推导出了反馈信道速率和闭环MIMO容量之间的数学关系。通过理论分析和仿真结果,得出了有关反馈信道速率与信噪比,天线数,闭环MIMO容量之间变化关系的四个重要结论。为实际的闭环MIMO系统设计提供了折衷反馈信道开销和闭环MIMO容量的依据,对系统设计有重要的指导意义.     

Simulation Models for Investigation of Multiuser Scheduling in MIMO Broadcast Channels

Spatial correlation is a result of insufficient antenna spacing among multiple antenna elements, while temporal correlation is caused by Doppler spread. This paper compares the effect of spatial and temporal correlation in order to investigate the performance of multiuser scheduling algorithms in multiple‐input multiple‐output (MIMO) broadcast channels. This comparison includes the effect on the ergodic capacity, on fairness among users, and on the sum‐rate capacity of a multiuser scheduling algorithm utilizing statistical channel state information in spatio‐temporally correlated MIMO broadcast channels. Numerical results demonstrate that temporal correlation is more meaningful than spatial correlation in view of the multiuser scheduling algorithm in MIMO broadcast channels. Indeed, the multiuser scheduling algorithm can reduce the effect of the Doppler spread if it exploits the information of temporal correlation appropriately. However, the effect of spatial correlation can be minimized if the antenna spacing is sufficient in rich scattering MIMO channels regardless of the multiuser scheduling algorithm used.     

QoS‐Guaranteed Multiuser Scheduling in MIMO Broadcast Channels

This paper proposes a new multiuser scheduling algorithm that can simultaneously support a variety of different quality‐of‐service (QoS) user groups while satisfying fairness among users in the same QoS group in MIMO broadcast channels. Toward this goal, the proposed algorithm consists of two parts: a QoS‐aware fair (QF) scheduling within a QoS group and an antenna trade‐off scheme between different QoS groups. The proposed QF scheduling algorithm finds a user set from a certain QoS group which can satisfy the fairness among users in terms of throughput or delay. The antenna trade‐off scheme can minimize the QoS violations of a higher priority user group by trading off the number of transmit antennas allocated to different QoS groups. Numerical results demonstrate that the proposed QF scheduling method satisfies different types of fairness among users and can adjust the degree of fairness among them. The antenna trade‐off scheme combined with QF scheduling can improve the probability of QoS‐guaranteed transmission when supporting different QoS groups.     

UWB系统MIMO传输的功率分配算法

针对目前多输入多输出(MIMO)系统功率分配中只考虑在奇异值分解(SVD)前提下运用注水原理进行功率分配的缺点,采用满足一定性能的(QoS)服务质量,在奇异值分解和注水原理的基础上,根据是否满足服务质量来关闭某些子信道以节约发射功率和减少信道间的干扰,根据发射速率和发射功率的关系,将发射速率归一化到离散传输速率并在此基础上计算发射该速率所用的功率,将剩余功率按注水原理分配给各个子信道以提高信道性能。     

Joint precoding and power allocation for multiuser transmission in MIMO relay networks

This paper proposes a joint precoding and power allocation strategy to maximize the sum rate of multiuser multiple‐input multiple‐output (MIMO) relay networks. A two‐hop relay link working on amplify‐and‐forward (AF) mode is considered. Precoding and power allocation are designed jointly at the base station (BS). It is assumed that there are no direct links between the BS and users. Under individual power constraints at the BS and relay station, precoders designed based on zero forcing, minimum mean‐square error and maximum ratio transmission are derived, respectively. Optimal power allocation strategies for these precoders are given separately. To demonstrate the performance of the proposed strategies, we simulate the uncoded bit error rate performance of the underlined system. We also show the difference of the sum rate of the system with the optimal power allocation strategies and with average power transmission. The simulation results show the advantages of the proposed joint precoding and power allocation strategies as expected. Copyright © 2011 John Wiley & Sons, Ltd.     

Cooperative power allocation with partial channel information in multi‐cell multi‐user dual‐hop MIMO relay systems

This paper considers cooperative power allocation with the use of partial channel state information (CSI) in a multi‐user dual‐hop relay system with multiple antennas. The end‐to‐end capacity can be improved by dynamically allocating the transmit power of the base station and relay according to co‐channel interference caused by the adjacent relays. The proposed scheme allocates the transmit power in association with the eigenvalues and angle difference between the eigenvectors of transmit correlation matrices of the desired and interference channel. It is shown by means of upper‐bound analysis that the end‐to‐end capacity of the proposed scheme can be maximized in highly correlated channel environments when the principal eigenvectors of transmit correlation matrices of the desired and interference channel are orthogonal to each other. It is also shown that the proposed scheme is robust to the channel estimation error. Finally, the performance of the proposed scheme is verified by the computer simulation. Copyright © 2010 John Wiley & Sons, Ltd.     

采用辅助转动装置的MIMO 系统双目标DPD 实验研究

文中介绍了一种双目标数字预失真(DPD)方案,并进行了实验研究。不增加系统复杂度的情况下, 可以有效地扩展MIMO 系统的线性化波束宽度。在发射机附近增设一个发射低功率信号的线性辅助转动装置,该 架构实现了MIMO 系统主波束线性化。实验平台由发射机系统和一个辅助转动装置组成,发射机天线阵列为1×4。 输入信号采用两个20 MHz 带宽峰均比分别为5. 7 dB 和5. 6 dB 的正交频分复用(OFDM)信号。实验研究结果表明, 采用了辅助转动装置的双目标DPD 方法后,邻信道功率比(ACPR)达到-50 dBc 以下的主波束线性化宽度可以扩展 到22°,同时信号归一化均方误差(NMSE)平均数值为-40 dB。该方案有效地拓宽了MIMO 系统线性化波束宽度。     

DSSS通信系统中干扰环境下码捕获 和阵列权值联合捕获

提出了空时相关器(STC)方法,同时实现干扰环境下使用自适应阵列的直接序列扩谱(DSSS)通信系统的码捕获和自适应阵列波束形成权值捕获,在码捕获时通过波束形成抑制干扰提高检测性能.对干扰环境下空域最优合并方式的检测性能进行了理论分析,仿真结果与理论预测一致,分析结果表明STC可同时有效的捕获码定时和自适应阵列权值,最优合并方式的虚警概率与干扰和背景噪声功率无关,可实现恒虚警检测.     

MIMO BC中新的TH预编码方法

针对多用户MIMO广播信道下预编码技术提出了发射端配置两根天线的改进TH预编码方案。该方法突破了传统TH预编码方案发射天线与接收天线数量的限制,并且得到了很好的分集和复用增益。仿真结果表明,所提算法在容量上接近理论容量界,且当误码率为10-2时,所提方案相比单天线THP有9 dB的增益。     

Achievable sum‐rate analysis of correlated two‐antenna MIMO uplink channels

This paper analyzes the achievable sum‐rate of correlated two‐antenna multiple‐input multiple‐output (MIMO) uplink channels. Most of previous works have considered the case when a single user has multiple transmit antennas (i.e. multi‐antenna single‐user scenario). This paper considers the case when two‐antenna MIMO uplink channels comprise two users with a single transmit antenna (i.e. single‐antenna two‐user scenario). The analytic and simulation results show that the achievable sum‐rate of correlated single‐antenna two‐user MIMO uplink channels highly depends on the angle difference between the receive correlation coefficients of two users. It is also shown that the achievable sum‐rate of correlated single‐antenna two‐user MIMO uplink channels is larger than that of correlated two‐antenna single‐user MIMO uplink channels and can even be larger than that of independent and identically distributed Rayleigh two‐antenna MIMO uplink channels. Copyright © 2009 John Wiley & Sons, Ltd.