自适应MIMO系统在反馈延时下的性能分析

为了提高无线通信系统的频谱利用率,提出一种简单而实用的开环自适应MIMO系统,利用最优贪婪调度算法,在多用户分集和多天线分集的作用下,有效地改善系统的性能.推导了在反馈存在延时的信道条件下频谱效率和中断概率的闭合表达式、分析了发射天线数、重传、用户数以及延时对系统整体性能的影响.     

基于多用户调度的闭环MIMO系统中断性能分析

针对无线资源的匮乏,结合多用户分集与多用户调度技术,提出一种基于多用户调度的闭环多输入多输出跨层算法.该算法是采用跨层理论的方法,以包错误率为服务目标,利用调度技术,自适应调制,自动重传技术与MIMO技术的有机结合,提高系统的中断性能.推导了系统平均包错误率,平均传输次数与中断概率的闭合表达式,分析了天线配置,移动用户数以及重传次数对系统性能的影响;仿真结果表明,该系统的中断概率明显减小,中断性能提高.     

非理想CSI下MIMO MRC系统多用户分集性能分析*

针对在无线多输入—多输出（MIMO）通信系统的发射端采用波束成形、接收端采用最大比合并的MIMO MRC系统,考虑收发端仅能获得存在信道估计误差的非理想信道信息（CSI）且系统受到共信道干扰这一条件,分析系统的多用户分集性能。导出封闭形式的信号干扰噪声比的概率分布函数表达式和以平均容量的形式给出的系统多用户分集性能表达式。数值仿真证实了理论分析的结果。研究表明,信道估计误差和共信道干扰均会降低系统的多用户分集性能,而信道估计的精度是影响系统多用户分集性能的关键因素。     

基于逆滤波器的时变MIMO信道跟踪算法

对时变多发多收（MIMO）无线数字信道,在信道接收端应用逆滤波器算法,得到无线MIMO数字系统的信道冲击响应函数,并将此函数作为初始值,应用改进的粒子滤波器算法,完成时变MIMO数字系统的盲信道跟踪。该算法同时利用了信号的时间分集信息和空间分集信息。计算机仿真表明,与仅利用信号空间分集信息的逆滤波器算法相比,该算法在输入信号小信噪比情况下有更好的全局收敛特性;与卡尔曼滤波算法相比,得到的归一化信道误差更小。     

MIMO系统中的自适应比例公平调度算法研究

在MIMO系统中,通过在每个时隙选择信道条件最好的用户进行通信,可以利用无线通信系统的多用户分集大大提高系统吞吐量,但该方法存在公平性差的缺点。主要关注应用机会波束形成的MIMO系统的公平性。提出了一种自适应比例公平调度算法来提高长时间处于较差信道条件下的用户的吞吐量,从而提高系统的公平性。在每个时隙,基站监测每个用户的实时请求速率和过去一段时间内的平均请求速率,并根据这两个速率来调整算法中的自适应参数。提出的算法较好地获得了系统吞吐量和公平性的折中,仿真实验结果也表明了算法的有效性。     

一种新型的LTE系统干扰协调算法

为了解决LTE多小区系统在重度边缘负载情况下所承受的严重的小区间干扰问题,提出了一种基于小区边缘用户数的干扰协调调度算法ICPF。该算法在软频率复用干扰协调场景下提出了改进型资源分配以及二次调度思想,在初步分配资源的基础上进行频率资源二次调整,并有效地与调度算法结合起来。仿真结果表明,ICPF算法能在保证频谱利用率的前提下,提高小区边缘用户性能以及多用户分集的效果。     

一种应用于ORBF算法的多权重矩阵选择策略

为了提高多用户MIMO系统下行信道的总速率,提出一种基于正交随机波束形成的多权重矩阵选择算法.在每个时隙中,该算法利用多个权重矩阵生成随机波束,基站利用部分信道信息反馈,依据总速率最大的原则选择本时隙的最优权重矩阵并进行数据发送.该算法可以显著提高多用户MIMO系统的总速率,仿真结果也证明了该算法的有效性.     

基于MUD/SD的认知无线电系统遍历容量研究

提出了基于多天线选择分集接收的多用户分集认知无线电系统模型。该系统模型由于在认知接收端采用了多天线选择分集接收,相比传统多用户分集认知无线电系统采用的单天线接收,能够进一步提高认知用户系统信道遍历容量。推导并给出了认知接收端信噪比的概率密度函数与累积分布函数,分析了多天线数目与认知用户数对系统信道遍历容量的影响,同时给出了不考虑认知用户发送功率约束条件下的认知用户系统信道遍历容量的解析表达式。     

一种时变MIMO信道跟踪算法及仿真分析

对时变多发多收(MIMO)无线数字信道,在信道接收端应用逆滤波器算法,得到无线MIMO数字系统的信道冲击响应函数,并将此函数作为初始值,应用改进的粒子滤波器算法,完成时变MIMO数字系统的盲信道跟踪.算法同时利用了信号的时间分集信息和空间分集信息.计算机仿真表明,与仅利用信号空间分集信息的逆滤波器算法相比,算法在输入信号小信噪比情况下有更好的全局收敛特性;与卡尔曼滤波算法相比,得到的归一化信道误差更小.     

基于虚拟MIMO子信道的多用户分集资源调度算法

根据多天线(MIMO)信道空间相关特性,提出一种虚拟子信道的分析方法,从子信道角度探讨信道容量在发射端已知信道响应时预期的性能改善;在此基础上,提出一种逼近信道容量上限的波束形成方法,发掘MIMO信道矩阵最大奇异值与波束形成矢量潜在的联系,并从理论角度详细分析了单用户与多用户最大奇异值联合分布特性,实现阵列增益、空间分集和多用户分集充分融合;仿真与分析表明,利用用户间潜在的随机分布特性能有效提高用户的空间分集增益,提高系统资源利用率,对系统性能改善显著.     

Robust multiuser MIMO scheduling algorithms with imperfect CSI

Robust multiuser multiple-input-multiple-output (MIMO) scheduling algorithms are proposed in this paper.With imperfect channel state information (CSI),traditional scheduling algorithms for the multiuser MIMO system based on the zero forcing precoding scheme will lose some performance due to the multi-user interference (MUI).In order to improve the system average throughput,we study the robust multiuser MIMO scheduling problem with imperfect CSI.From the average capacity formula,we derive a robust factor which can transform the robust multiuser MIMO scheduling problem into the traditional one,thus most existing non-robust scheduling algorithms can be robust if this factor is adopted.Simulation results show that compared with the traditional algorithms,the proposed robust algorithms can improve the system average throughput significantly under the CSI error environment.     

Efficiency-aware and fairness-aware joint-layer optimization for downlink data scheduling in OFDM

Efficiency and fairness are two crucial issues to be considered for resource alloca- tion in multi-user wireless networks. Based on the joint optimization of physical layer and data link layer, an optimization model is derived to achieve efficient and fair downlink data scheduling in multi-user OFDM wireless networks by maximizing the total utility function with respect to the average waiting time of user queue. A dynamic sub-carrier allocation algorithm （DSAA） based on the optimization model is proposed in order to obtain the maximization of the total scheduling utility. Effi- ciency is improved by combining DSAA with time scale interference predictor （TSIP） which at large time scales predict ON/OFF period of user data with temporal corre- lation structure across multiple time scales in multi-user interference environment. Simulation results verify the efficiency and fairness of the scheme.     

A three level LTE downlink scheduling framework for RT VBR traffic

In recent literature, it has been observed that obtaining low overhead LTE downlink scheduling mechanisms that ensure a descent QoS is a challenging task especially in the presence of transient overloads. This paper proposes a novel three level LTE downlink scheduling framework (called TLS). The three major objectives of the proposed framework includes low overall traffic flow selection and mapping overheads at each Transmission Time Interval (TTI), maintaining acceptable QoS levels for various real-time (RT) variable bit rate (VBR) flows even during transient overloads through graceful degradation, and maximizing spectral efficiency by effectively exploiting multi-user diversity. Both the outermost and the second level of TLS employs a novel adjustable frame-based approach to provide efficient service even in the face of ever changing wireless channel conditions, system workloads, traffic bit rates etc. A low-overhead O(1) look-up based scheme is used in the innermost layer of the framework to physically allocate bandwidth resources to the traffic flows at each TTI. Simulation results clearly reveal that TLS outperforms the existing schedulers with respect to QoS, goodput and spectral efficiency.     

Dynamic radio resource and interference management for MIMO–OFDMA mobile broadband wireless access systems

A multi-user multi-cell Multiple-Input Multiple Output/Orthogonal Frequency Division Multiple Access (MIMO/OFDMA) system for next generation Broadband Wireless Access (BWA) networks is studied, in which the Base Station (BS) or evolved Node B (eNB) has only knowledge of the statistics of the channel. A combination of MIMO and OFDMA could increase the spectral efficiency in a high speed network. We investigate methods with scalable channel feedback and we analyze the trade off between the amount of Channel State Information (CSI) to the transmitter and the system performance. The proposed schemes with limited feedback are combined with other cell interference reduction strategies based on cooperation for improving the performance of a coordinated multi-cell system under very dynamic conditions like high velocity and fast fading. Simulation results demonstrate that substantial gain is obtained by the proposed schemes which take advantage of the statistical information of the highly dynamic channel.     

Cross-layer optimization for wireless multihop multicast networks

Cyber-Physical System (CPS) is envisioned to tightly integrate the cyber-world of computation, communication, and control with the physical world. CPS is typically designed as a networked system of interacting sensors, actuators, and embedded computing devices to monitor and control the physical world. Thus, one of the essential building blocks of such a system is a highly efficient networking infrastructure. In this paper, we aims to develop an efficient wireless networking technology which can be utilized in CPS. More specifically, we develop a cross-layer optimization model based on the Network Utility Maximization (NUM) framework and its distributed solution for wireless multihop multicast networks exploiting multi-user diversity. It is known that the capacity of a wireless network can be increased by exploiting different channel conditions at different users, i.e., multi-user diversity; however, it is yet to be determined how much performance gain can be achieved by exploiting multi-user diversity in wireless multihop multicast networks. To address this problem, we extend the NUM framework and derive a new optimization problem including the benefits of multi-user diversity for multicasting scenarios in wireless multihop networks under a probabilistic media access control (MAC). In our problem, multi-user diversity is achieved via opportunistic scheduling. Then, we propose a distributed approximation algorithm for the problem. Our numerical results confirm that the benefit of multi-user diversity is prominent in a wireless multihop network with multicast flows.     

基于树搜索算法的多用户MIMO系统的自由度分配

针对最大化多用户MIMO系统的和速率的问题,提出了将迭代式干扰对齐技术（Iterative Interference Alignment：ⅡA）和系统自由度（DoF）分配策略相结合的一种算法.系统的DoF分配是通过树搜索算法（Tree search）来实现的.理论分析及实验仿真结果表明,该算法获得的系统容量,接近遍历法（exhausting search：EX）的结果,但是在算法复杂性及收敛时间上明显优于遍历法.