分布式移动通信系统中多用户分集分析

分析了分布式移动通信系统中,Rayleigh-lognormal复合信道下,发送分集对下行链路多用户分集的影响,发现基于最大比发送(MRT)和基于选择发送分集(STD)调度算法获得了几乎相同的多用户分集增益。该结论表明,在分布式移动通信系统中,采用基于发送分集的调度方案并不能有效地提高系统的吞吐量。     

分布式OFDMA系统下行资源分配算法

针对正交频分复用（OFDM）分布式天线系统（DAS）的下行链路,在发送端采用最大比发送（MRT）并且单天线功率受限、所有发射天线的总功率受限,考虑用户最低速率要求时,丈中提出一种最大化和速率容量的次优资源分配策略。仿真结果表明,动态天线选择策略下DAS比集中式天线系统（CAS）获得更大的和速率容量,并且更容易达到最低速率的要求。     

多天线无线数据通信系统中多用户分集的研究

研究当接收天线不少于发送天线时多输入多输出(MIMO)系统的多用户分集能力。首先从理论上分析了发送天线个数等于1和2时最大似然接收和迫零接收系统的平均吞吐量和调度增益,以及仿真分析了发送天线个数大于2时系统性能。理论分析和仿真表明：在多用户的MIMO系统中,接收的平均信噪比、用户个数、收发天线个数、接收机的结构等对于多用户分集有很大的影响。当发送天线个数为1时,接收天线较少(1,2,3)和平均信噪比为．10dB时调度增益很大,但调度增益随着天线个数和发送功率增大急剧下降。和最大似然接收相比,迫零接收具有更大的多用户分集增益,因此迫零接收机的吞吐量可以很容易超过最大似然接收机。     

空间相关对发射分集系统的多用户分集性能的影响

研究空间相关对发射分集结合调度策略的多用户系统下行链路性能的影响.推导出发射天线之间存在空间相关的条件下,TxAA(Transmit Adaptive Array)、STBC(Space-Time Block Coding)结合调度策略的多用户系统平均容量的表达式,在此基础上研究其平均容量.通过仿真验证理论分析的有效性.结果表明,发射天线之间的空间相关性会提高多用户系统的平均容量,另外TxAA在各种相关条件下的系统平均容量都优于STBC.     

几种多天线系统的信道容量比较

分布式天线、智能天线和扇区天线是三种能大大提高无线通信系统容量的技术,本文比较了这三种多天线系统的信道(Shannon)容量.假设每个用户在所有接收天线上的总功率相等,分析表明分布式天线和扇区天线的信道容量远大于智能天线的信道容量,而传统的观点认为智能天线在抑制干扰时要比扇区天线的性能更好,从而获得更大的系统容量.另外我们分析了分布式天线在渐近条件下的信道容量,即用户数K和载波数M都趋近无穷大,而保证α=K/M一定.分析表明在α较大时,分布式天线与比扇区天线的信道容量差趋近常数0.44比特/秒/维,但是如果考虑分布式天线的分集增益,那么分布式天线的信道容量要远大于扇区天线.     

一种低复杂度的多用户分集调度算法

利用多用户分集增益可以显著的提高系统容量,但最大化吞吐量的调度算法会导致用户不公平的占用资源,比例公平算法在损失较大容量的条件下可以让用户公平的分享资源。本文重点考虑多用户分集系统中的系统容量和公平性的折中,结合最大化吞吐量和比例公平调度算法的思想,提出一种低复杂度的加权调度算法,并推导出门限反馈和全反馈时的系统容量和公平性的理论表达式。仿真结果表明,所提算法在损失较少容量的同时,可以保持较高的公平性。并且在用户数较少的同时,性能优于已有的折中算法,而在用户数较多时,可以通过设置反馈门限来降低用户的反馈开销,同时不会带来容量和公平性的损失。     

基于网络编码的分布式天线系统性能分析

文章针对多输入多输出（MIMO）系统在移动终端实现上的限制,提出分布式天线系统（DAS）的解决方案来获得空间分集增益。采用DAS模型,通过使用一个具有网络编码解码运算能力的辅助天线增强用户与基站间的通信,探讨基于网络编码的天线分集增益。分析比较无辅助天线系统、简单DAS和基于网络编码的DAS中断概率性能后,理论分析和计算机仿真结果表明,相比简单DAS,基于网络编码的DAS节约硬件成本并提高了频谱利用率;系统中断概率平均降低0．0164,可获得更大的分集增益。     

下行MIMO通信系统的多用户分集研究

该文研究了下行多用户MIMO通信系统中多用户分集问题,并且提出了两种基于最大系统容量准则的多用户分组调度算法。提出了一种基于相关用户的信道向量间内积的价值因子。通过使用该价值因子作为信道容量的评价标准,有效地降低了分组调度过程的复杂度。仿真结果显示该文提出的多用户调度算法可以明显提高系统容量;且随着系统中激活用户数量的增加,系统的调度增益不断增大。     

多用户STBC下行链路预处理优化算法

给出了一种基于天线选择的多用户STBC下行链路预处理优化算法.该方法对发送端天线进行组合,即从所有发送天线中选出部分天线组成多个天线集合,每个天线集合中发送天线个数为能够获得空间分集增益的最小数目,从这些天线集合中选出最大化多用户STBC系统分集增益的一个集合作为最终发送天线.对基于天线选择的算法进行了仿真分析,结果表明,该算法比未采用选择的算法可以获得更高的分集增益,还与基于特征模式选择的算法进行了比较,结果表明:该方法比基于特征模式选择的算法使系统获得了更高的性价比.     

QoS保证的无线系统资源分配和调度策略

该文研究了无线通信系统保证用户服务质量要求(QoS)的资源分配和调度策略,从信道遍历容量角度出发分析基于Round Robin (RR)和多用户分集/RR思想的调度策略,并提出一种性能更好的部分多用户分集调度策略。该策略将一帧分成若干子帧,子帧的大小以及当前用户集合由无线资源分配算法根据用户的速率要求确定,调度机在每个时刻将各子帧分配给当前用户集合中信道增益最好的用户。仿真结果表明,相比于RR调度和多用户分集/RR调度,部分多用户分集调度能够减少信道占用率并且提高平均信道容量。     

A Unified Capacity Analysis for Wireless Systems With Joint Multiuser Scheduling and Antenna Diversity in Nakagami Fading Channels

A Unified Capacity Analysis for Wireless Systems With Joint Multiuser Scheduling and Antenna Diversity in Nakagami Fading Channels In this paper, we present a cross-layer analytical framework to jointly investigate antenna diversity and multiuser scheduling under the generalized Nakagami fading channels. We derive a unified capacity formula for the multiuser scheduling system with different multiple-input multiple-output antenna schemes, including: 1) selective transmission/selective combining (ST/SC); (2) maximum ratio transmission/maximum ratio combining (MRT/MRC); 3) ST/MRC; and 4) space–time block codes (STBC). Our analytical results lead to the following four observations regarding the interplay of multiuser scheduling and antenna diversity. First, the higher the Nakagami fading parameter, the lower the multiuser diversity gain for all the considered antenna schemes. Second, from the standpoint of multiuser scheduling, the multiple antennas with the ST/SC method can be viewed as virtual users to amplify multiuser diversity order. Third, the boosted array gain of the MRT/MRC scheme can compensate the detrimental impact of the reduced amount of fading gain on multiuser scheduling, thereby resulting in greater capacity than the ST/SC method. Last, employing the STBC scheme together with multiuser diversity may cause capacity loss due to the reduced amount of fading gain, but without the supplement of array gain.     

A low-complexity port selection and power allocation scheme in distribution MIMO systems

Information theoretical results have shown that Distributed Antenna Systems (DAS) can obtain higher capacity than Co-located Antenna Systems (CAS). In this paper, we investigate a downlink port selection and power allocation scheme in Distributed Multiple-Input Multiple-Output (D-MIMO) systems, where Distributed Antenna (DA) ports randomly locate in the cell. The contribution of this paper can be summarized as two parts. Firstly, we analyze how antenna correlation affects power allocation in D-MIMO systems. Secondly, based on large scale fading and antenna correlation, a low-complexity port selection and power allocation scheme is proposed. In the proposed scheme, we take both large scale fading and antenna correlation into consideration. Moreover, User Equipment (UE) only needs to feedback the rank of transmit antenna correlation matrix, which will not increase system complexity too much. Simulation results verify the capacity improvement based on the proposed power allocation scheme.     

Proportional Fair Space–Time Scheduling for Wireless Communications

We extend the proportional fair (PF) scheduling algorithm to systems with multiple antennas. There are$K$client users (each with a single antenna) and one base station (with$n_R$antennas). We focus on the reverse link of the system, and assume a slow-fading channel where clients are moving with pedestrian speed. Qualcomm's original PF scheduling algorithm satisfies the PF criteria only when the communication is constrained to one user at a time with no power waterfilling. However, the original PF algorithm does not generalize easily when we have$n_R$receive antennas at the base station. In this paper, we shall formulate the PF scheduling design as a convex optimization problem. One challenge is in the optimal power allocation over the multiantenna multiaccess capacity region, which is still an open problem. For practical consideration, we consider multiuser minimum mean-square error processing at the base station. To obtain first-order insight, we propose an asymptotically optimal PF scheduling solution. Using the proposed PF solution for a multiantenna base station, the system capacity is enhanced by exploiting the multiuser selection diversity, as well as the distributed multiple-input multiple-output configuration. It is found that the PF scheduler achieves a good balance between fairness and system capacity gain.     

Spectral efficiency of distributed antenna system with random antenna layout

The downlink capacity potential of a distributed antenna system (DAS) with random antenna layout is investigated. A low complexity sub-optimal power allocation scheme among transmit antennas is proposed. Simulation results show that with the same antenna density DAS outperforms a co-located antenna system (CAS) in terms of average and outage spectral efficiency.     

MIMO系统中的交叉优化调度算法

多入多出(MIMO)系统中在多用户环境下可以在链路级利用空间复用或者在系统级利用多用户调度来提高系统容量。但是仅仅是分别优化MIMO系统链路级性能或是仅仅单纯在系统级进行调度是不够的,将两者联合起来进行优化可以获得更大的系统容量。为此,该文提出了一种新的交叉优化调度算法(Cross Optimization Scheduling Algorithm, COSA),将系统级的调度策略和链路级的物理层优化相结合,并且采用注水算法动态调整各天线的功率分配。仿真结果表明COSA算法不但在系统级为每个用户提供了公平的接入信道机会,而且在链路级中充分利用MIMO系统的空间复用特点以及动态的功率分配,提高了系统的容量。     

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.     

Enhancing coverage and capacity for multiuser MIMO systems by utilizing scheduling

Recent studies have revealed that the remarkable capacity improvement resulting from an open-loop multiple-input-multiple-output (MIMO) spatial multiplexing system may come at the sacrifice of degrading link reliability. This tradeoff between antenna multiplexing gain against antenna diversity gain may translate into smaller coverage areas. In this paper, we suggest using the multiuser diversity to replenish the diversity-deficient spatial multiplexing MIMO system. Specifically, we propose a fair scheduling scheme, called the strongest-weakest-normalized-subchannel-first (SWNSF) scheduling, which requires only limited amount of feedback. Our analysis and results indicate that the SWNSF scheduling can significantly increase the coverage of the multiuser MIMO system while further improving the system capacity.     

多小区的分布式天线系统中天线选择与鲁班性波束形的联合优化（英文）

Most of studies on Distributed Antenna System(DAS) focus on maximizing the sum capacity and perfect channel state information at transmitter(CSIT).However,CSI is inevitable imperfect in practical wireless networks.Based on the sources of error,there are two models.One assumes error lies in a bounded region,the other assumes random error.Accordingly,we propose two joint antenna selection(AS) and robustbeamforming schemes aiming to minimize the total transmit power at antenna nodes subject to quality of service(QoS) guarantee for all the mobile users(MUs) in multicell DAS.This problem is mathematically intractable.For the bounded error model,we cast it into a semidefinite program(SDP) using semidefinite relaxation(SDR) and S-procedure.For the second,we first design outage constrained robust beamforming and then formulate it as an SDP based on the Bernstein-type inequality,which we generalize it to the multi-cell DAS.Simulation results verify the effectiveness of the proposed methods.