接收机准确估计信道条件下MIMO系统的信道容量分析

文中考虑独立Rayleigh衰落环境下的单用户点对点多输入多输出系统,假定接收端能准确估计信道状态信息,推导出系统的容量公式,相比单天线系统,多天线系统能取得更大的容量,当输入信号是高斯分布时,系统容量随着发射天线和接收天线数目的最小值线性增加,如果发送端完全知道信道状态信息,采用注水原理的功率分配策略,可以获得更高的容量增益,最后推导出各态历经容量的数学表达式.     

一种自适应MIMO信号发射与检测方法研究

无线通信中的多天线(MIMO)技术是提高系统容量的主要方法,在慢衰落信道下可以将接收端获得的信道信息(CSI)反馈到发送端以提高系统的性能.传统的反馈-预编码方案奇异值分解(SVD)法但受空间相关特性和传统VBLAST系统对收、发天线数目要求的影响而限制了它在实际系统中的应用.该文提出一种自适应多天线传输方案,其采用了统一信道参数反馈模型和空时分组编码(STBC),实现了一种可以用于各种空间相关特性和各种收、发天线数的多天线传输方案可以克服SVD方案的以上缺点.文中仿真也验证了该系统的接收天线可以比发射天线少,并且能够在高相关性信道下工作.     

MIMO-OFDM系统无线衰落信道容量分析

推导了MIMO-OFDM系统在衰落信道下的各态历经容量、最优发送策略、使用等功率分配时的容量上界以及相对于单天线OFDM系统的容量增益。结果表明：天线数和平均接收信噪比是决定MIMO-OFDM系统信道容量的关键因素。天线数越多或者接收信噪比越大,信道的容量越大,信道容量几乎不受多径时延扩展的影响。慢衰落信道下的最大信道容量可以使用空-频两维注水算法得到,当接收信噪比足够大时,最大信道容量也可以用平均分配发送功率的方法逼近。     

时变信道下MIMO系统自适应调制与功率分配的算法性能分析

提出一种在时变衰落信道下，MIMO系统的功率分配和自适应调制方法。该方法采用空域注水定理，在发送端天线的平均功率受限的条件下，按照信道传输矩阵的奇异值对发端的多天线进行最优功率分配和自适应MQAM调制。本文从频谱效率方面对其性能进行分析，给出了信道估计的误差和反馈时延对该方法的影响。理论分析和仿真结果表明，该方法实现简单，且与传统的总功率受限的自适应调制方法相比，具有更高的频谱效率。     

一种新的时变衰落信道下MIMO系统的功率分配与自适应调制算法

本文提出一种在时变衰落信道下,MIMO系统的功率分配和自适应调制方法.该方法采用空域注水定理,在发送端天线的平均功率受限的条件下,按照信道传输矩阵的奇异值对发端的多天线进行最优功率分配和自适应MQAM调制.本文从频谱效率方面对其性能进行分析.给出了信道估计的误差和反馈时延对该方法的影响.理论分析和仿真结果表明,该方法实现简单,且与传统的总功率受限的自适应调制方法相比,具有更高的频谱效率.     

从功率分配的角度分析三种方案的MIMO信道容量

在移动通信中,空间分集是一种重要的分集方式,MIMO(多入多出)技术作为空间分集的应用得到广泛的关注.本文从功率分配的角度研究了预编码法、等功率分配法和波束成形法这三种方案所获得的MIMO信道容量的本质.在不同的发送天线和接收天线结构下对三种方案的遍历容量和中断容量进行了仿真,并得出结论:预编码法通过在发送端利用信道信...     

时延约束条件下MIMO多接入信道传输策略和功率分配

本文分析了时延约束条件下多输入多输出(MIMO)多接入信道的发送优化问题，利用标准优化方法，给出了多用户的传输策略和功率分配方案，具体分两步考虑：第一步通过应用顺序译码方法，给出每个用户基于干扰回避的分布式优化预编码字；第二步对每个用户进行单用户信道的注水功率分配．同时应用MMSE(Minimum Mean Square Error)接收结构结合串行干扰消除技术，给出了一种基于独立SINR(Signal to Interference Plus Noise Ratio)准则的次优功率分配方案．数值结果表明，给出的最优传输和次优传输策略性能非常相近，可以显著提高时延约束条件下系统的性能和容量．     

一种基于分布式发射天线的差分空时调制方法

在基于分布式发射天线的多入多出(MIMO)系统中,由于各发射天线的发射信号不同时到达接收端,用于信道估计的导引设计及发射方法存在一定困难。针对这一问题,该文提出一种无需信道估计的分布式MIMO差分编码及检测方法:发送端将发射矩阵进行相位差分调制后发射,接收端利用前后接收量判断相位信息恢复出发送端数据信息。该方法频谱效率与V-BLAST相同,适用于任意发射天线数和接收天线数,且不要求接收天线数大于发射天线数。仿真结果表明,在不同信道传播时延情况下,误码率性能不同。     

发送端已知信道均值或协方差信息的MIMO系统的功率分配

本文研究了在发送端已知信道均值或协方差信息情况下单用户多输入多输出（MIMO）系统的功率分配问题．发送端已知信道均值信息时，信道建模为非相关莱斯信道；发送端已知协方差信息时，信道建模为相关瑞利信道．通过最大化遍历（ergodic）信道容量的一个较紧的下界，针对发送端已知信道均值或协方差信息的情况分别提出了新的功率分配的方案．仿真结果验证了该功率分配方法的有效性。     

非理想信道感知下的频谱共享容量的理论分析

在现有的以理想信道感知为条件的机会频谱共享容量分析基础上,重点讨论非理想感知对机会频谱共享中次用户信道容量的影响。关注两条不同传输途径的信道,一条是从次用户发送端到次用户接收端的无线信道,另一条是次用户发送端到主用户接收端的无线信道。以主用户接收端功率受限作为约束条件,得到了关于非理想信道信号噪声比条件下机会频谱共享的次用户信道容量的关系表达式。首先分析次用户发送端到主用户接收端信道和次用户发送端到次用户接收端信道为非对称时次用户的信道容量,其次分别探讨不同衰落信道模型下两条信道上感知（包括信道估计和预测）误差为对称和非对称结果时,次用户信道容量的变化。     

A random beamforming technique in MIMO systems exploiting multiuser diversity

A random beamforming technique for multiple-input multiple-output (MIMO) systems that simultaneously obtains downlink multiuser diversity gain, spatial multiplexing gain and array gain by feeding back only effective signal-to-noise ratios (SNRs) is described. In addition, power control using waterfilling is employed to improve the throughput of our method in correlated channels. In a slow fading channel, we prove that the throughput of the proposed method converges to that of eigen beamforming when many users are in a cell. The number of users required to achieve capacity bound increases with the number of antennas and SNR was determined. However, the capacity bound is achieved even with a small number of users, e.g., 16 users in a cell, when the SNR is low, e.g., 0 dB, and the number of transmit and receive antenna is small, e.g., two. We also find that the effect of waterfilling is more noticeable in correlated channels.     

MIMO Precoder Designs for Frequency-Selective Fading Channels Using Spatial and Path Correlation

Multiple-input–multiple-output (MIMO) precoder design for frequency-selective fading channels using partial channel information based on the spatial and path correlation matrices is presented. By representing a frequency-selective fading channel as a multipath model with $L$ effective paths, a general precoding structure is proposed and used to derive optimum precoding designs that maximize Jensen's upper bound on the channel ergodic capacity under the transmitted power constraint for two cases, i.e., uncorrelated and correlated channel paths. Analytical results show that, in the uncorrelated case, the precoder structure consists of a number of parallel precoders for frequency-flat fading channels. The power assignment to each precoder and the power allocation over the eigenmodes of each precoder are calculated based on the power of channel paths and the eigenvalues of the transmit correlation matrix. In the correlated case, the precoder structure is an eigenbeamformer with the beams referred to a function of eigenvectors of the Kronecker product of path and transmit correlation matrices. Furthermore, the power allocated to each eigenmode can be obtained from a statistical water-pouring policy that is specified by the product of eigenvalues of the transmit antenna and path correlation matrices. Simulation results for different scenarios indicate that the proposed precoder can increase the ergodic capacity of MIMO systems in a frequency-selective fading environment with spatial and path correlations, and its offered capacity gain is increased with the level of correlation and numbers of antennas and channel paths.      

Interference Mitigation in MIMO Systems by Subset Antenna Transmission

This paper investigates subset antenna transmission (SAT) for multiple-input multiple-output (MIMO) systems in the presence of strong dominant co-channel interferer. The capacity gain from SAT is investigated in the context of optimal antenna subset selection and power allocation. The SAT does not require channel state information of the co-channel interference, and achieves capacity gains by distributing the transmit power equally over a selected subset of the transmit antennas. The capacity gain of the SAT method is analyzed in terms of transmit power and eigenvalues of channel matrix, and its performance in V-BLAST MIMO systems with various signal constellations is evaluated by computer simulation.     

Optimum power control for CDMA with deterministic sequences in fading channels

We specify the capacity region for a power-controlled, fading code-division multiple-access (CDMA) channel. We investigate the properties of the optimum power allocation policy that maximizes the information-theoretic ergodic sum capacity of a CDMA system where the users are assigned arbitrary signature sequences in a frequency flat-fading environment. We provide an iterative waterfilling algorithm to obtain the powers of all users at all channel fade levels, and prove its convergence. Under certain mild conditions on the signature sequences, the optimum power allocation dictates that more than one user transmit simultaneously in some nonzero probability region of the space of all channel states. We identify these conditions, and provide an upper bound on the maximum number of users that can transmit simultaneously at any given time. Using these properties of the sum capacity maximizing power control policy, we also show that the capacity region of the fading CDMA channel is not in general strictly convex.     

Limited feedback unitary precoding for orthogonal space-time block codes

Orthogonal space-time block codes (OSTBCs) are a class of easily decoded space-time codes that achieve full diversity order in Rayleigh fading channels. OSTBCs exist only for certain numbers of transmit antennas and do not provide array gain like diversity techniques that exploit transmit channel information. When channel state information is available at the transmitter, though, precoding the space-time codeword can be used to support different numbers of transmit antennas and to improve array gain. Unfortunately, transmitters in many wireless systems have no knowledge about current channel conditions. This motivates limited feedback precoding methods such as channel quantization or antenna subset selection. This paper investigates a limited feedback approach that uses a codebook of precoding matrices known a priori to both the transmitter and receiver. The receiver chooses a matrix from the codebook based on current channel conditions and conveys the optimal codebook matrix to the transmitter over an error-free, zero-delay feedback channel. A criterion for choosing the optimal precoding matrix in the codebook is proposed that relates directly to minimizing the probability of symbol error of the precoded system. Low average distortion codebooks are derived based on the optimal codeword selection criterion. The resulting design is found to relate to the famous applied mathematics problem of subspace packing in the Grassmann manifold. Codebooks designed by this method are proven to provide full diversity order in Rayleigh fading channels. Monte Carlo simulations show that limited feedback precoding performs better than antenna subset selection.     

On the design of MIMO block-fading channels with feedback-link capacity constraint

In this paper, we propose a combined adaptive power control and beamforming framework for optimizing multiple-input/multiple-output (MIMO) link capacity in the presence of feedback-link capacity constraint. The feedback channel is used to carry channel state information only. It is assumed to be noiseless and causal with a feedback capacity constraint in terms of maximum number of feedback bits per fading block. We show that the hybrid design could achieve the optimal MIMO link capacity, and we derive a computationally efficient algorithm to search for the optimal design under a specific average power constraint. Finally, we shall illustrate that a minimum mean-square error spatial processor with a successive interference canceller at the receiver could be used to realize the optimal capacity. We found that feedback effectively enhances the forward channel capacity for all signal-to-noise ratio (SNR) values when the number of transmit antennas (n/sub T/) is larger than the number of receive antennas (n/sub R/). The SNR gain with feedback is contributed by focusing transmission power on active eigenchannel and temporal power waterfilling . The former factor contributed, at most, 10log/sub 10/(n/sub T//n/sub R/) dB SNR gain when n/sub T/>n/sub R/, while the latter factor's SNR gain is significant only for low SNR values.     

多天线系统中的二次注水功率分配

Aiming at the problem of resource allocation in multiuser multi-input multi-output （MIMO） systems, a new power allocation algorithm based on dual waterfilling is proposed. Block diagonalization is adopted to cancel the inter-user interference, and then the complete diagonalization method is employed to derive the spatial sub-channels for each user. The overall power of the system is divided among users based on each user＇s large scale fading; then the power of each user is further allocated to its spatial sub-channels based on the small scale fading. Simulation results show that compared with the existing resource allocation strategies, the proposed algorithm can provide more ergodic capacity for multi-user MIMO systems. When the total transmit power is 100w, it has 15% capacity advantage over the traditional waterfilling method.     

Capacity Optimizing Power Allocation in Interference Channels

The interference channel is an essential model in both wireline and wireless communication systems. This article addresses transmit power allocation in interference channels with total transmit power constraint. The optimum power allocation maximizing the sum rate in two user interference channels can be derived analytically. However, the non-convexity of the optimization problem makes it prohibitively complex to obtain the optimum solution either analytically or numerically in general K user scenarios. After reviewing several conventional suboptimum power allocation schemes including equal power allocation, greedy power allocation and waterfilling power allocation, an iterative waterfilling algorithm is proposed and discussed. The performance of various power allocation schemes is evaluated through simulations, which suggests that the proposed iterative waterfilling outperforms other suboptimum power allocation schemes in certain scenarios.     

分布式残余频偏信道中的Alamouti STBC-OFDM功率分配

在具有不同残余频偏的分布发射天线多径瑞利衰落信道中,该文使用Cholesky判决反馈检测的Alamouti STBC-OFDM链路,提出了一种抑制残余频偏影响的发射功率分配方法:以最小化残余频偏下链路的平均误比特率下界为准则,为发射天线分配功率。首先推导了残余频偏下链路的平均误比特率下界,然后给出了发射天线间最优功率分配因子的闭合解。仿真结果表明,与传统的假设频率理想同步的功率分配方法相比,在残余频偏对性能影响占主导作用的场景中,该文方法提升了链路性能,提升程度随着两根发射天线到接收机间平均信道功率增益之比的增加而增大。     

Optimal transmission strategies and impact of correlation in multiantenna systems with different types of channel state information

We study the optimal transmission strategy of a multiple-input single-output (MISO) wireless communication link. The receiver has perfect channel state information (CSI), while the transmitter has different types of CSI, i.e., either perfect CSI, or no CSI, or long-term knowledge of the channel covariance matrix. For the case in which the transmitter knows the channel covariance matrix, it was recently shown that the optimal eigenvectors of the transmit covariance matrix correspond with the eigenvectors of the channel covariance matrix. However, the optimal eigenvalues are difficult to compute. We derive a characterization of the optimum power allocation. Furthermore, we apply this result to provide an efficient algorithm which computes the optimum power allocation. In addition to this, we analyze the impact of correlation on the ergodic capacity of the MISO system with different CSI schemes. At first, we justify the belief that equal power allocation is optimal if the transmitter is uninformed and the transmit antennas are correlated. Next, we show that the ergodic capacity with perfect CSI and without CSI at the transmitter is Schur-concave, i.e., the more correlated the transmit antennas are, the less capacity is achievable. In addition, we show that the ergodic capacity with covariance knowledge at the transmitter is Schur-convex with respect to the correlation properties. These results completely characterize the impact of correlation on the ergodic capacity in MISO systems. Furthermore, the capacity loss or gain due to correlation is quantified. For no CSI and perfect CSI at the transmitter, the capacity loss due to correlation is bounded by some small constant, whereas the capacity gain due to correlation grows unbounded with the number of transmit antennas in the case in which transmitter knows the channel covariance matrix. Finally, we illustrate all theoretical results by numerical simulations.