基于贪婪算法自适应比特功率分配的MIMO-OFDM系统性能

OFDM技术、MIMO技术和自适应调制技术的结合可以有效的抗无线信道的各种衰落,最大限度提高系统的容量和传输质量。借助于贪婪算法的最佳比特功率分配,本文深人研究了基于贪婪(greedy)算法自适应比特功率分配的MIMO- OFDM系统性能,对贪婪算法、等比特功率分配算法及CHOW算法下的系统误比特率(BER)进行比较,并对不同天线配置下的MIMO-OFDM系统的误比特率(BER)进行比较,推导及仿真结果表明：基于贪婪算法自适应比特功率分配的MIMO-OFDM系统BER要好于采用传统比特功率分配算法的系统BER,其频谱效率也要优于另外两种算法；同时,在采用相同的贪婪算法自适应动态比特分配策略下,MIMO-OFDM系统的BER要好于SISO-OFDM系统的BER。     

一种基于最小误码率的OFDM自适应比特及功率分配算法

OFDM自适应调制技术根据各子载波在频率选择性衰落信道中不同的瞬时增益,动态地分配数据比特和发射功率,可以优化系统性能,提高频谱效率。该文主要研究OFDM系统发射功率和传输比特数不变时误码率最小化的自适应(MA)算法。提出一种以注水门限为迭代参数的MA算法,并引入有记忆步长迭代法,提高算法的稳定性。仿真结果表明,与过去的算法相比,该算法能以较低的复杂度获得更好的性能。     

基于MMSE准则自适应预处理算法研究

自适应OFDM(Orthogonal Frequency Division Multiplexing)系统根据信道情况自适应地分配各个子载波发送的比特和功率,在频率选择性衰落信道条件下,它比传统的OFDM系统有更好的误比特性能。提出了一种基于MMSE准则的自适应预处理算法,并将该算法应用于自适应OFDM系统,与基于最大信息速率设计的自适应OFDM系统相比,误比特性能有了显著提高。     

MIMO-OFDM系统一种新的自适应资源分配算法

OFDM技术、MIMO技术和自适应调制技术的结合可以有效地抗无线信道的各种衰落,最大限度提高系统的容量和传输质量,针对自适应MIMO—OFDM系统中满足用户QoS（这里主要指用户带宽及误码率这两个指标）要求的比特功率分配这一问题,提出了一种新的变步长（M—P）算法。该算法以每比特分配时,使得每比特（一次可分配偶数比特）的功率代价最小为原则,获得良好的性能。仿真结果表明：该算法在满足用户QoS要求的情况下,其发射总功率比现有的Hughes—Hartogs算法小,性能更佳。     

一种多用户MIMO/OFDM下行链路保障QoS的自适应传输机制

在用户QoS参数限制下,该文提出一种在多用户MIMO/OFDM下行链路使系统总速率最大的资源分配机制。基站应用空分多址接入,使得每个子载波可支持多个用户,应用线性预编码方法抵消用户间的干扰,提出保障QoS的自适应功率、比特分配方案。该文并提出两种可应用到实际系统的低复杂度的比特加载和比特去除算法,仿真结果表明,该两种方法性能可非常接近最优遍历算法。     

OFDM系统中子信道的自适应比特、功率分配

研究了一种改进的OFDM系统中子信道的自适应比特、功率分配算法。该算法可适用于多径频率选择性衰落信道,它根据信道的瞬时特性,动态地为OFDM系统的各子信道分配传输比特数和发送功率。依据不同的分配准则,采用了MA和RA两种优化算法。仿真结果表明,采用自适应技术可以大大提高OFDM系统的性能。     

OFDM自适应算法在煤矿井下的应用研究

根据煤矿井下无线通信特性,建立了服从瑞利分布的具有频率选择性衰落的信道模型,研究了动态改变传输比特与功率分配的自适应正交频分复用(OFDM)算法.仿真结果表明:自适应比特与功率分配算法的误码率性能明显好于固定调制;多输入多输出(MIMO)技术的误码率明显好于单输入单输出(SISO)技术.     

多误码率固定速率OFDM自适应调制比特功率分配方法

一些应用中需要多误码率的固定速率OFDM自适应调制.本文首先对该多载波自适应调制需求中的比特功率优化分配问题建模,并进一步限定各OFDM子信道采用正交幅度调制(QAM),基于子信道调制比特的任意正实数和无限粒度假设详细分析了子信道集合划分和比特功率分配问题,由此得到一种实用的次最优子信道集合划分和比特功率分配方法.分析和仿真表明由于可得到比特分配的闭式表达,因此该方法计算复杂度低,且性能良好,是一种实用的多误码率固定速率OFDM自适应调制比特功率优化分配方法.     

OFDM中自适应比特及功率分配的分析

在宽带移动OFDM(正交频分复用)系统中,不同的子信道经受不同的信道衰落,因此具有不同的传输能力。根据子信道的增益对子信道上加载的比特数进行自适应分配,可在满足一定误码率(BER)性能要求下使系统的总传输功率达到最小。本文研究了一种在一定传输速率下的自适应比特及功率分配算法。该算法可适用于多径频率选择性衰落信道。仿真结果表明,采用自适应技术可大大提高OFDM系统的性能。     

移动衰落信道中的自适应OFDM调制

在宽带移动OFDM(正交频分复用)系统中，不同的子信道经受不同的信道衰落，具有不同的传输能力。若采用固定速率调制方案，信道容量和发送功率未能获得充分应用。自适应调制技术能充分利用信道容量和信号功率，满足不同传输速率和服务质量的要求。研究了一种适用于宽带移动OFDM系统的自适应算法。在平均发送功率不变务件下，算法根据子信道的衰落特性，自适应地分配子信道中数据比特，选择不同的信号星座和发送功率，使得系统的功率和频谱效率达到最佳。首先推导了在平均发送功率受限条件下，瑞利衰落信道中最大频谱效率；其次，分析了在给定误比特率(BER)条件下，采用连续功率、连续星座MQAM(多进制正交幅度调制信号)调制的最大功率频谱效率，在此基础上提出适用于实际系统的离散功率、离散星座MQAM调制算法；最后进一步优化系统的功率密度谱。计算机模拟表明：该算法能明显地提高移动OFDM系统的频谱效率。     

An efficient combinational approach for PAPR reduction in MIMO–OFDM system

The multiple input multiple output (MIMO) with orthogonal frequency division multiplexing (OFDM) has emerged as a promising solution to enhance the channel capacity and diversity of wireless communication system without any increase in bandwidth. In this paper, a parallel combinational scheme is proposed to reduce peak-to-average power ratio (PAPR) in MIMO–OFDM system under Rayleigh fading environment. The proposed method intelligently incorporates both active gradient project and partial transmit sequence schemes. The results show that the proposed method not only reduces the PAPR and computational complexity of the system but also maintains the bit error rate compared to other schemes.     

Variable power adaptive MIMO OFDM system under imperfect CSI for mobile ad hoc networks

Future high speed mobile applications require diverse Quality of Service (QoS). To provide flexible data rate services while satisfying the low delay requirements, adaptive MIMO OFDM is a promising technique over time varying channels. In this paper a variable power adaptive MIMO OFDM system under imperfect CSI using cross layer design for mobile ad hoc networks is proposed. Data throughput is maximized while maintaining the delay QoS requirements in the presence of channel estimation errors. Numerical results show that the variable power adaptive MIMO OFDM system provides better spectral efficiency than its constant power counterpart.     

室内可见光通信中的自适应STBC MIMO-OFDM系统设计

提出基于空时块码（STBC）调制的自适应多输入多输出正交频分复用（MIMO-OFDM）可见光通信（VLC）系统,该系统能够克服MIMO信道相关性并实现可靠通信。同时,引入功率比特分配（PBA）与OFDM相结合,以适应信道传输条件从而有效提高频谱效率。通过搭建一个22的MIMOOFDM VLC演示系统,实现了80 cm距离的传输,实验中测得的误码率始终保持在7%的前向纠错阈值3.810-3之下。实验结果表明,STBC MIMO-OFDM系统对MIMO信道相关性鲁棒,且PBA的应用能够大幅度提高数据速率。     

Multiuser MIMO OFDM Based TDD/TDMA for Next Generation Wireless Communication Systems

Multiple-input multiple-output (MIMO) wireless technology in combination with orthogonal frequency division multiplexing (MIMO OFDM) is an attractive air-interface solution for next-generation wireless local area networks (WLANs), wireless metropolitan area networks (WMANs), and fourth-generation mobile cellular wireless systems. In this paper, one multiuser MIMO OFDM systems with TDD/TDMA was proposed for next-generation wireless mobile communications, i.e., TDD/TDMA 4G, which can avoid or alleviate the specific limitations of existing techniques designed for multiuser MIMO OFDM systems in broadband wireless mobile channel scenarios, i.e., bad performance and extreme complexity of multiuser detectors for rank-deficient multiuser MIMO OFDM systems with CDMA as access modes, extreme challenges of spatial MIMO channel estimators in rank-deficient MIMO OFDM systems, and exponential growth complexity of optimal sub-carrier allocations for OFDMA-based MIMO OFDM systems. Furthermore, inspired from the Steiner channel estimation method in multi-user CDMA uplink wireless channels, we proposed a new design scheme of training sequence in time domain to conduct channel estimation. Training sequences of different transmit antennas can be simply obtained by truncating the circular extension of one basic training sequence, and the pilot matrix assembled by these training sequences is one circular matrix with good reversibility. A novel eigenmode transmission was also given in this paper, and data symbols encoded by space–time codes can be steered to these eigenmodes similar to MIMO wireless communication systems with single-carrier transmission. At the same time,, an improved water-filling scheme was also described for determining the optimal transmit powers for orthogonal eigenmodes. The classical water-filling strategy is firstly adopted to determine the optimal power allocation and correspondent bit numbers for every eigenmode, followed by a residual power reallocation to further determine the additional bit numbers carried by every eigenmode. Compared with classical water-filling schemes, it can also obtain larger throughputs via residual power allocation. At last, three typical implementation schemes of multiuser MIMO OFDM with TDMA, CDMA and OFDMA, i.e., TDD/TDMA 4G, VSF-OFCDM and FuTURE B3G TDD, were tested by numerical simulations. Results indicated that the proposed multiuser MIMO OFDM system schemes with TDD/TDMA, i.e., TDD/TDMA 4G, can achieve comparable system performance and throughputs with low complexity and radio resource overhead to that of DoCoMo MIMO VSF-OFCDM and FuTURE B3G TDD.     

Compressed sensing channel estimation for STBC‐SM based hybrid MIMO‐OFDM system for visible light communication

This paper presents the idea of sparse channel estimation using compressed sensing (CS) method for space–time block coding (STBC), and spatially multiplexing (SM) derived hybrid multiple‐input multiple‐output (MIMO) Asymmetrically clipped optical‐orthogonal frequency division multiplexing (ACO‐OFDM) optical wireless communication system. This hybrid system accounts multiplexing gain of SM and diversity gain of STBC technique. We present a new variant of sparsity adaptive matching pursuit (SaMP) algorithm called dynamic step‐size SaMP (DSS‐SaMP) algorithm. It makes use of the inherent and implicit structure of SaMP, along with dynamic adaptivity of step‐size feature which is compatible with the energy of the input signal, thus the name dynamic step size. Existing CS‐based recovery algorithms like orthogonal matching pursuit, SaMP, adaptive step‐size SaMP, and proposed DSS‐SaMP were compared for hybrid MIMO‐ACO‐OFDM visible light communication system. The performance analysis is demonstrated through simulation results with respect to bit error rate, symbol error rate, mean square error, computational complexity, and peak‐to‐average power ratio. Simulation results show that the proposed technique gives improved performance and lesser computational complexity in comparison with conventional estimation algorithms.     

Transmitter Precoding for ICI Reduction in Closed-Loop MIMO OFDM Systems

The mitigation of intercarrier interference (ICI) in closed-loop single-input-single-output (SISO) and multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) is considered. The authors show that the ICI coefficient matrix is approximately unitary and exploit this property to design a nonlinear Tomlinson-Harashima precoder for the reduction of ICI in closed-loop SISO OFDM and orthogonal space-time block-coded (OSTBC) MIMO OFDM. With the proposed design, the transmitter does not need to know the frequency offsets, and hence, their impact on the bit error rate (BER) is significantly reduced. Moreover, for spatially correlated MIMO channels, the precoder and OSTBC OFDM perform with a negligible BER-performance loss     

Adaptive modulation for space–frequency block coded OFDM systems

The growing popularity of both multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) systems has created the need for adaptive modulation to integrate temporal, spatial and spectral components together. In this article, an overview of some adaptive modulation schemes for OFDM is presented. Then a new scheme consisting of a combination of adaptive modulation, OFDM, high-order space-frequency block codes (SFBC), and antenna selection is presented. The proposed scheme exploits the benefits of space–frequency block codes, OFDM, adaptive modulation and antenna selection to provide high-quality transmission for broadband wireless communications. The spectral efficiency advantage of the proposed system is examined. It is shown that antenna selection with adaptive modulation can greatly improve the performance of the conventional SFBC–OFDM systems.     

Adaptive MIMO-OFDM based on partial channel state information

Relative to designs assuming no channel knowledge at the transmitter, considerably improved communications become possible when adapting the transmitter to the intended propagation channel. As perfect knowledge is rarely available, transmitter designs based on partial (statistical) channel state information (CSI) are of paramount importance not only because they are more practical but also because they encompass the perfect- and no-knowledge paradigms. In this paper, we first provide a partial CSI model for orthogonal frequency division multiplexed (OFDM) transmissions over multi-input multi-output (MIMO) frequency-selective fading channels. We then develop an adaptive MIMO-OFDM transmitter by applying an adaptive two-dimensional (2-D) coder-beamformer we derived recently on each OFDM subcarrier, along with an adaptive power and bit loading scheme across OFDM subcarriers. Relying on the available partial CSI at the transmitter, our objective is to maximize the transmission rate, while guaranteeing a prescribed error performance, under the constraint of fixed transmit-power. Numerical results confirm that the adaptive 2-D space-time coder-beamformer (with two basis beams as the two "strongest" eigenvectors of the channel's correlation matrix perceived at the transmitter) combined with adaptive OFDM (power and bit loaded with M-ary quadrature amplitude modulated (QAM) constellations) improves the transmission rate considerably.