多输入多输出天线蜂窝系统中的分布式功率控制方法

在蜂窝无线通信系统设计中,基于信号干扰比(SIR)测量的功率控制方法得到广泛的应用。该文提出多输入多输出(MIMO)天线蜂窝系统中的基于SIR测量的分布式功率控制(DPC)方法。该方法通过控制移动台或者基站的发射功率可以达到以下两个目标的其中之一：(1)最小化所有基站或者移动台的平均接收SIR中断概率;(2)在满足目标SIR要求的前提下最小化平均发射功率。数值仿真结果显示,该文提出的DPC方法在低的计算复杂度下,可以达到降低SIR中断概率和减小发射功率的目的。     

分布式 MIMO 系统中功率分配算法研究

本文将功率注水算法应用到分布式 MIMO(Multiple Input Multiple Output)系统中,充分利用分布式无线通信系统的高覆盖性,通过调整发射天线的发射功率,使系统的容量得到了提升,即系统的频谱效率得到了显著改善.仿真结果显示,与集中式 MIMO 系统相比,系统容量的确得到了显著改善     

载波频率偏移下分布式MIMO系统性能分析

文中针对载波频率偏移对分布式MIMO系统的性能进行了仿真分析,仿真结果表明：载波频率偏移和不理想的信道估计会对系统性能产生较大影响;高阶调制更容易受到载波频率偏移的影响;ZF和MMSE译码算法与传统的Alamouti译码算法相比对于载波频率偏移更加稳健,当｜w-2-w-1｜取值较大时,采用ZF和MMSE译码性能要好于传统的Alamouti译码算法;随着各链路载波频率偏移差别｜w-2-w-1｜的减小,传统的Alamouti译码算法性能不断改善。     

MIMO分布式天线系统中的延时失衡性能分析

在MIMO室内分布式天线系统中,由于馈线以及极化天线本身的差异会引入延时不平衡因素。针对MIMO系统,从理论上分析分布式天线系统中延时失衡对MIMO系统带来的影响。通过仿真,定量分析了MIMO上下行链路中,延时失衡对基带性能的不利影响。结果表明,上行链路性能对延时差异不敏感;对下行链路,在时延差异达到0.5 CP时,系统性能会有约2 dB损失;当延时差异达到0.75 CP时,性能下降达到8 dB。     

Capacity Performance of Polarized Distributed MIMO System on Rician Channel

The analytical upper bound and lower bound on the ergodic capacity of polarized distributed antenna system and their relation with antenna polarization on Rician channel are deduced by applying properties of complex non-central Wishart matrices and matrix-variate non-central quadratic forms. Compared to the related studies, our analysis is extended to account for the polarized distributed system with Rician fading where a line-of-sight component exists and both ends are affected by spatial correlation. The antenna polarization has some impacts on the capacity bounds according to the expressions of capacity bounds. Both the transmitter and the receiver are equipped with multiple polarization antennas, and the transmitters are of linear layout. A power allocation scheme based on the path loss fading is presented by maximizing the capacity upper bound. The power allocation scheme is feedback efficient compared with those power allocation schemes based on statistical parameters of the channel which need a large amount of feedback. In the simulations, the ergodic capacity of polarized distributed MIMO is analyzed. Comparisons are taken on the effects of angle spread, Rician factor and power on the ergodic capacity. The proposed power allocation scheme is superior to the equal power allocation scheme and has very close performance to the optimal power allocation scheme.     

Outage Capacity Study of the Distributed MIMO System with Antenna Cooperation

This letter analyzes the outage capacity of the distributed multi-input multi-output (D-MIMO) systm with antenna cooperation over the Rayleigh-Log-normal fading channel. Firstly, an analytical expression of outage capacity is derived under the cooperative transmission scheme (CTS). Moreover, to optimize the system performance, an adaptive CTS (ACTS) is proposed, and a theoretical expression is derived to perform the ACTS. Simulation results are presented to verify the theoretical outcome.     

分布式MIMO雷达的目标定位

针对多输入多输出雷达系统，研究了目标定位问题，并提出基于双基测距的分布式多输入多输出(Multiple-Input Multiple-Output, MIMO)雷达的目标定位算法。首先，通过引入多余参数和这些参数与未知目标定位的关系，将目标定位问题转化为约束二次规划(Quadratically Constrained Quadratic Programming, QCQP)问题，然后，考虑到QCQP问题是非凸和NP-Hard，再将每个非凸约束近似为线性约束，最终QCQP问题就转化为线性约束二次规划(Linearly Constrained Quadratic Programming, LCQP)问题。最后，利用迭代约束权重最小二乘(Iterative Constrained Weighted Least Square, ICWLS)算法求解LCQP问题。实验数据表明，提出的ICWLS算法能够收敛于一个最优值。     

分布式MIMO雷达多目标定位

在多个目标的情况下,分布式MIMO雷达需要对不同观测通道中的参数进行配对来实现多目标定位,文中在已有的映像搜索配对法的基础上,提出了一种集中区域搜索配对法。在多目标分散情况下,该方法改善了映像搜索配对法搜索区域大,计算时间长等缺点,能够较快地定位目标。仿真结果表明,该方法在多目标分散,雷达截面闪烁的情况下能快速有效地对多目标进行定位。     

分布式MIMO的Turbo检测算法

当信道码为卷积码时,针对V-BLAST类空时码的分布式MIMO,该文提出了两种迭代检测算法：最大似然迭代接收机及一种低复杂度的迭代检测接收机。最大似然迭代检测接收机的复杂度为O(2MTSlogM),低复杂度的迭代检测接收机的复杂度为 O(M2TM2RS2M) 。在准静态、单径瑞利衰落信道中,对低复杂度的迭代检测接收机的误码率性能进行了计算机仿真验证,与非迭代的迫零检测相比,低复杂度的迭代检测接收机节约比特信噪比约7.5dB;在相同的误码率下,迭代6次与迭代1次相比,可节约3dB的比特信噪比;随着迭代次数的增加,迭代效果越来越小。     

莱斯信道下分布式大规模MIMO系统基站选择算法的研究

该文考虑一种分布式大规模MIMO系统,假设基站端与用户之间的信道为莱斯信道,研究了该系统中基站选择的算法。首先给出了系统采用匹配滤波和迫零预编码时,用户下行可达速率的闭式表达式,并分析了系统的功率效率性能。然后基于此闭式表达式,以最大化系统的频谱效率为目标,提出了基于增量选择和基于用户优先级的基站选择算法。这两种算法只需要系统获取基站端与用户之间的信道统计特征信息,从而有效降低了系统开销。仿真结果表明,所提出的两种基站选择算法性能仍能逼近最优算法。特别地,当采用匹配滤波预编码且基站端天线数趋于无穷时,基于用户优先级的基站选择算法优于基于增量选择的算法。     

波束成形下DMIMO系统下行小区平均遍历容量分析

主要对波束成形下分布式MIMO系统下行小区平均遍历容量展开分析。首先建立了包含快衰落、阴影衰落和路径损耗的复合衰落信道模型。然后,在分布式基站功率受限条件下,推导各基站权重向量即最优波束;并基于ST-MRT传输策略,推导特定移动台位置条件下,小区下行点对点遍历容量表达式。最后,考虑移动台在小区内任意分布的特征,进一步推导出波束成形下小区平均遍历容量理论近似表达式。结果表明所推导的理论近似表达式可很好地反应系统的实际性能。     

Full-duplex Distributed Massive MIMO System with Optimal Beamforming and Resource Allocation for WPCN

This paper proposes a joint beamforming and resource allocation scheme to maximize the minimum capacity for wireless powered communication network (WPCN) designed for multi-user distributed massive multi-input multi-output (DM-MIMO) system with full-duplex radio remote heads (RRHs), which enable simultaneous uplink (UL) and downlink (DL) communications. The minimum capacity is maximized by a proposed algorithm based on the non-negative matrix theory. The simulation results have demonstrated that the achievable max-min capacity of the DM-MIMO is considerably higher compared to that of the CMMIMO system. It has also showed that the convergence speed of the proposed algorithm is so fast.     

Optimal Power Schedule for Distributed MIMO Links

We present an optimal power scheduling scheme to maximize the throughput of a set of distributed multiple-input multiple-output (MIMO) wireless links. This scheme exploits both spatial and temporal freedoms of the source covariance matrices of all MIMO links. In particular, the source covariance matrix of each MIMO link is allowed to vary within a block of time (and/or frequency) slots. This scheme, also referred to as space-time power scheduling, optimizes an integration of link scheduling and power control for MIMO links. The computational problem involved in this scheme is non-convex. However, a gradient-projection algorithm developed for this scheme consistently yields a higher capacity than all other existing schemes.     

一种分布式MIMO差分检测方法

本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:发送端将发射符号进行相位差分调制后生成空时码矩阵进行发射,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.本文将该方法在不同信道传播时延场景下进行了仿真验证,仿真结果表明,在相同E_b/N₀情况下,不同信道传播时延对应的误码率性能不同:在信道传播时延从0.1T_s到0.9T_s的变化过程中,误码率随信道传播时延的增大先降低后升高,当信道传播时延为0.6T_s左右误码率达到最低,存在使系统误码率性能较好的信道传播时延.     

一种分布式多入多出(MIMO)信道的容量研究

分布式MIMO系统结合了点对点MIMO信道与分布式天线系统两者的特点，能改善链路的质量，提高覆盖面积。本文提出了一种包含路径损耗、阴影衰落与小尺度衰落的分布式MIMO信道模型，分析推导了采用该模型时的分布式MIMO信道容量。通过计算机仿真，研究分析了阴影衰落、Rice信道因子K等因素对分布式MIMO上行信道容量的影响，得出了分布式MIMO信道容量空间分布的特点。     

Distributed Jacobi eigen-beamforming for closed-loop MIMO systems

This work presents a novel eigen-beamforming technique suitable for tracking fading channels in multiple-input multiple-output (MIMO) systems employing low feedback rate, closed-loop feedback channels. The method uses a single unitary coordinate plane transformation to update the transmit antenna weights without requiring parameters that depend on fading rate, typically found in recursive methods. The computational complexity is fixed, in contrast with codebook solutions, whose operations count increases linearly with the codebook size. Simulations show that the new eigen-beamforming method reaches near optimal bit error probability performance in low mobility scenarios. Furthermore, by buffering the available feedback bits the proposed algorithm outperforms signed gradient methods for the same average feedback rate     

D-MIMO技术及应用策略研究

分布式MIMO（D-MIMO）是一种解决未来超密集组网高干扰问题的技术方案,通过将干扰源转变为有用信号源,降低重叠覆盖区域干扰,提高用户体验,有利构建无边界用户体验的网络。本文对D-MIMO进行了基本原理及关键技术分析,对该技术的性能增益进行了仿真与外场测试研究.同时,结合技术优势与劣势、投资、现网需求分析,提出了该技术的规划应用思路与建议。     

Cooperative Distributed MIMO Channels in Wireless Sensor Networks

The large number of network nodes and the energy constraints make Wireless Sensor Networks (WSN) one of the most important application fields for Cooperative Diversity. Node cooperation increases the spatial diversity of wireless channels and, thus, reduces the transmitted power. In this paper, we propose a multi-hop WSN with nodes grouped in cooperative clusters that exploits transmit and receive cooperation among cluster nodes. Multi-hop transmission is carried out by concatenating single cluster-to-cluster hops, where every cluster-to-cluster link is defined as a cooperative distributed multiple-input-multiple-output (MIMO) channel. Transmit diversity is exploited through a time-division, decoder-and-forward, relaying scheme based upon two time slots: the Intracluster Slot, used for data sharing within the cluster, and the Intercluster Slot, used for transmission between clusters. At the receiver side, a distributed reception protocol is devised based upon a Selection Diversity algorithm. The proposed multi-hop cooperative WSN is optimally designed for minimum end-to-end outage probability by deriving the optimum time and power allocated on the intracluster and intercluster slots of every single hop, given a per-link energy constraint. A simplified suboptimum resource allocation is also proposed, which performs close to the optimal policy. Results show that the proposed scheme achieves diversity equal to the equivalent MIMO system and significantly reduces energy consumption with respect to. the non-cooperative channel     

分布式MIMO系统中的一种可控式天线选择

基于信道容量最大化准则,提出了一种专门针对分布式多入多出（MIMO）系统的可控式天线选择算法。该算法在射频链路数（Lt）固定的前提下分两步执行,第一步进行动态的端口选择,第二步利用穷举搜索法在已选定的端口间选出Lt个最优天线,通过门限值的设定控制天线选择的复杂度和性能的平衡。仿真结果表明,在合适的门限值范围内,该算法具有很好的跟踪特性,具有接近于最优的容量性能,同时大大降低了天线选择复杂度。     

MIMO雷达对分布式目标测向研究

现有的陈列测向算法对分布式目标性能较差,该文研究基于Capon算法的MIMO雷达测向问题,并在相同条件下对不同发射信号和不同阵元配置的阵列测向性能进行仿真比较,结果表明MIMO雷达的测向性能要明显优于阵列雷达.最后给出了结论.