A Subcarrier Allocation Algorithm for Efficiently Reducing Power in Multiuser OFDM Systems

Resource allocation in multiuser OFDM systems is a complex nonlinear optimization problem. In order to avoid direct solution, based on the analytical results of the problem of minimizing the total transmit power, a two-step subcarrier allocation algorithm is presented. The algorithm reduces the total transmit power by reducing the achievable minimum transmit power value required by each user. Subcarriers are allocated in the algorithm according to the data rate required by users and the channel characteristics. The required number of subcarriers allocated to users does not need to be known in advance. The allocation process consists of two steps: basic subcarrier allocation and residual subcarrier allocation. Numerical results demonstrate that the proposed algorithm can reduce the total transmit power effectively. Handong Gong was born in 1974. He received the B.S. degree in auto control and the M.S. degree in physical electronic, and the Ph.D. degree in communication and information system from South China University of Technology in 1996, 2002 and 2006 respectively. He is now a lecturer in Shenzhen Institute of Information Technology. His main research interest include OFDM signal process, linearization technique for amplifier and mobile communication technologies. Wu Ye was born in 1938. Now he is a professor and Ph. D. advisor at South China University of Technology. His research interests include queuing theory and its application in communication networks, mobile communication technologies and video process. Suili Feng was born in 1955. Now he is a professor and doctor supervisor at South China University of Technology. His research interests include theory and technology of communication network, key technologies of mobile communication and embedded system. Hui Song was born in 1980. She received doctor’s degree from South China University of Technology in communication and information system in 2005. Now she is a lecturer in South China Normal University. Her research interests include signal process, flow control and optimization.     

多用户OFDM系统子载波分配算法研究

采用改进的贪婪算法分配时隙的无线资源,根据用户业务的QoS和数据队列信息确定用户的优先权,并在获知信道状态信息条件下,按照传输比特消耗功率最小原则搜索所有子载波信道,为用户动态分配子载波和比特。仿真结果表明,在两种传输速率要求下,当接入用户数相同时,改进算法比传统贪婪算法减少功率消耗3.9622W;改进算法多消耗1.9858W功率却增加了2个接入用户,用户消耗平均功率比前者少2.2456W/用户。     

一种新型的多用户OFDM系统资源分配策略

在多用户正交频分复用（Orthogonal Frequency Division Muhiplexing，0FDM）系统中，系统容量和用户公平性不能同时兼顾，本文提出了一种综合考虑系统容量和用户公平性的资源分配算法．该算法利用多用户的分集增益，根据用户的实时信道状态和传输速率要求，合理的选择用户接人的时刻，既保证了用户公平性又提高了系统容量，达到时频二维空间优化系统的效果．仿真结果表明，本算法在不增加算法复杂度和不损失用户公平性的前提下，有效的提高了系统容量。     

Deepen spectrum notch and reduce PAPR in OFDM systems via combining subcarriers precoding with tone reservation

In orthogonal frequency division multiplexing (OFDM) systems,spectrum notch can be generated to mitigate interference to other narrow-band services by turning off corresponding subcarriers.However,the inter-carrier interference may limit considerably the produced notch depth.Another problem in OFDM is the high peak-to-average power ratio (PAPR).In this paper,a technique combining subcarriers precoding with tone reservation is proposed to deepen spectrum notch and simultaneously reduce peak-to-average power ratio.Simulation results show that this presented joint algorithm can produce satisfied results to solve these problems at the expense of a moderate loss in bit error rate (BER) performance.     

一种基于DFT的低复杂度虚子载波OFDM信道估计算法

该文针对采用虚子载波的OFDM通信系统,提出了一种基于DFT的低复杂度信道估计算法,并与最小二乘(Least Square,LS)估计算法和线性最小均方误差(Linear Minimum Mean Square Error,LMMSE)算法进行了详细的性能和复杂度比较。所提DFT算法较好地降低了高斯白噪声的影响,相对于LS算法获得了较大的性能增益。该算法在复杂度与性能之间取得了较好的折衷,具有很好的实用价值。     

PTS-TR方法降低CO-OFDM系统的PAPR

在相干光正交频分复用(CO-OFDM)系统中,较高的峰均功率比会使信号产生严重的畸变,导致系统误码率性能的严重下降,为了抑制CO-OFDM系统的PAPR提出了一种PTS-TR方法。仿真结果表明,该方法与传统TR方法和PTS方法相比,具有很高的稳定性和更小的运算复杂度,对PAPR的抑制性能较好,更适用于CO-OFDM系统。     

多用户OFDM系统上行链路的粗频偏及定时估计

上行链路中的粗频偏及定时估计是多用户 OFDM系统的关键技术之一。如果粗频偏估计不准 ,将带来严重的子载波间干扰 ( ICI) ,而定时估计引入的符号间干扰 ( ISI)虽然可以通过加入保护间隔予以消除 ,但是如果定时估计不稳定将影响整频偏移的估计及均衡的效果。本文提出了一种基于 PN序列的粗频偏及定时估计 ,仿真结果表明该方法具有良好的性能     

Feedback threshold with guaranteed QoS in multiuser OFDM systems

A threshold setting scheme is proposed based on the resource management and limited feedback theory in multiuser orthogonal frequency division multiplexing (OFDM) systems. In adaptive resource allocation, the factors denoting the quality of service (QoS) and fairness are both considered as the user weight. From the aspect of feedback outage probability, the proposed algorithm sets the threshold for each user related to its weight, which brings enough feedback to the user with greater weight. Analysis and simulation results show that, compared with the threshold ignoring weights, the proposed scheme has much lower feedback load while with better QoS.     

B3G/TDD系统中随机接入方案研究

提出了一种应用于B3G TDD系统的随机接入方案。该方案结合了媒体接入层的包调度和物理层的信号处理技术,可以有效地避免数据包的碰撞。分析比较和仿真表明,该方案较传统的时隙ALOHA随机接入方案在吞吐率和时延方面都有较大的改善。     

MC-CDMA系统存在频偏时的性能分析

多载波码分多址(MC-CDMA)是把正交频分复用(OFDM)和码分多址(CDMA) 结合起来的新一代移动通信系统.详细构建了一个MC-CDMA 系统的数学模型,并给出了载频偏移和多径信道存在时的矩阵-向量表示模型.在此系统模型的基础上,分析了频偏对MC-CDMA系统多用户检测器性能的影响.MATLAB仿真显示了MC-CDMA系统对频偏极为敏感,当经历多径Rayleigh信道时,系统只能忍受较小的频偏.     

基于多用户MIMO-OFDM系统的子信道和功率分配算法

在多用户MIMO-OFDM系统中，当总功率受限时，为了使整个系统的数据传输速率最大．已有的最优算法的计算十分复杂，这里采用了一种次最优算法。在发射端，基于已知信道状态信息。应用奇异值分解将MIMO信道转化为并行的子信道，并将表征信道增益的信道特征值用于子信道自适应调制优化设计中。在自适应过程中．用到了子信道和功率联合分配算法。仿真结果表明，这种算法能使系统的性能明显提高。     

非线性条件下多用户OFDM系统的自适应资源分配

为了提高多用户正交频分复用(OFDM)系统的容量和功率效率，可以根据用户的服务质量(QoS)采用一种自适应的子载波、比特和功率的分配策略。然而这样使得OFDM信号更易于受非线性的影响，使用户的信噪比下降，导致QoS得不到满足。本文将研究非线性对用户最终信噪比的影响，并提出一种在这样的系统中保证用户QoS的资源分配算法，使总发射功率最小。文章最后使用该算法进行仿真，分析非线性对系统性能的影响。     

基于天线选择的自适应OFDM-STBC发射分集

基于空时分组码的正交频分复用技术(OFDM-STBC)是多天线多载波技术,将自适应功率分配技术用于OFDM-STBC,如何在载波和天线间分配能量是个关键问题.将待发射的信息分配到最有利的天线上传输接着利用载波间功率分配的算法进行载波间的功率分配,该算法的目标是使误码率最小.通过量化信道衰落简化了功率分配算法实现;通过量化功率分配因子的方式提高了无线链路的利用率.仿真结果显示:在误码率取0.1%时,对于有4个子载波的系统,较传统的算法,此算法能带来5dB的增益;随着系统载波数目的啬,性能进一步得到提高.     

OFDM系统中自适应比特分配算法的研究

在研究OFDM系统和自适应分配技术的基础上,对几种重要的自适应分配算法进行详细分析,并通过仿真比较了它们的性能和复杂度.仿真结果表明,使用自适应分配算法的OFDM系统可以减小发射功率,提高系统性能.     

Superimposed Pilot Aided Multiuser Channel Estimation for MIMO‐OFDM Uplinks

This letter addresses the superimposed pilot aided multiuser channel estimation for the uplinks of multi‐input multi‐output orthogonal frequency‐division multiplexing systems. To mitigate the embedded‐data effects on the performance of channel estimation, a novel combining algorithm is proposed. Optimal pilot symbols are developed with respect to the least square channel estimate's mean square error. The averaged sum‐capacity lower bound is derived and simulated. Simulation results show that on a low signal‐to‐noise ratio regime, our proposed scheme achieves better performance and higher capacity than the conventional pilot aided approach.     

多用户自适应调制及功率分配

为了满足新一代无线通信系统的高数据速率、高频谱效率的通信要求,本文提出了基于正交频分复用(OFDM)技术的自适应调制、子载波分配及功率分配方法,它采用的多址方式是码分多址(CDMA).通过上行信道返馈获知下行信道参数,在一定服务质量要求(QoS)、一定传输速率下,通过本文的优化分配算法,使系统的频谱利率最高,所有子载波的发射功率之和最小.将本方法应用在下行同步信道环境下,系统具有较快的收敛速度;与非自适应OFDM比较,用户发射功率有较大降低,是一种工程可适用方案.     

一种多用户MIMO-OFDM系统中的天线与子载波分配算法

天线与子载波分配是多用户MIMO-OFDM系统无线资源管理中的重要内容.在分析了多用户MIMO-OFDM系统下行链路中最优天线与子载波分配算法的基础上,提出了一种次优的低复杂度天线与子载波分配算法.该算法通过先选择天线再选择用户从而避免了最优算法中的遍历搜索.仿真结果表明,在运算量大大降低的情况下,所提算法获得的系统最大容量和最优算法所获得的最大容量相比相差不大,而且空间和频率联合优化的结果使其性能远远优于仅在MIMO环境下进行子载波分配的算法.