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。     

基于认知OFDM的子载波功率分配改进算法

在认知无线网络中,建立了基于认知OFDM多载波资源分配数学模型,在授权用户干扰受限条件下,以最大化传输速率为目标进行认知用户的子载波功率分配。传统注水法被证明是最优的单用户子载波功率分配算法,在传统注水法功率分配基础上,提出了两种可行的子载波功率分配改进算法,改进算法一是通过对水面值的粗略估计快速确定不分配功率子载波,改进算法二不需要通过迭代计算水面值,只通过线性计算就可以直接确定不分配功率的子载波,且对授权用户不产生干扰。仿真结果表明,在改进的两种子载波功率分配算法下,认知用户的数据传输速率优于传统注水法功率分配时认知用户的数据速率,所提改进算法具有自适应特性且计算复杂度大大降低。      

OFDM系统的功率和比特分配算法

OFDM(正交频分复用)是高速无线数据通信系统最有力的候选技术之一。在OFDM系统中,能够根据各个信道的衰减对各载波的发送功率和传输的比特数进行动态分配,从而使系统性能达到最佳。首先介绍了功率和比特分配的最优算法、贪婪算法,并针对贪婪算法迭代次数多的不足,提出了一种改进的贪婪算法。该算法通过修改迭代过程的初始条件,大大简化了贪婪算法的计算复杂度。仿真结果表明,改进的贪婪算法能够在保持发送比特总数不变的同时有效减少迭代的次数。     

基于公平性的多用户OFDM系统自适应功率分配松弛算法

提出了两种多用户OFDM系统下行链路的自适应功率分配算法.通过进一步放松不同用户之间数据速率比例性要求,提出的新算法提高了功率使用效率.实验仿真表明:在降低计算复杂度的同时,大大提高了系统容量,并且也近似满足了不同用户之间数据速率比例性要求.     

一种改进的多用户OFDM系统跨层分配优化算法

提出了一种多用户正交频分复用系统的跨层资源分配模型,结合了物理层中信道状态和媒体接入控制层中用户的队列信息,能更好地满足用户的服务质量要求。改进的混合优化算法结合了遗传算法与禁忌搜索算法的优点,并且对遗传算法的交叉因子进行改进,提高了全局搜索能力,能够更好地收敛于全局最优值,这样能更好地解决跨层资源分配问题。仿真结果表明,在此模型下利用改进的混合算法能有效地提高系统吞吐量,减小用户的平均时延,提高服务质量。     

多用户OFDM系统中子载波比特分配算法

针对多用户OFDM系统中的功率优化问题,提出了一种新的子载波、比特分配算法。利用匈牙利算法对子载波进行初始分配,然后根据信道的状态信息为每个子载波动态地分配比特,最后对分配的结果作进一步调整,直到发射总功率不再减小为止。仿真结果表明,调整后的结果比原有方法有所改善,在满足传输速率和误码率要求的条件下,有效地降低了系统发射总功率。     

多天线OFDMA系统的动态子载波与功率分配方法

提出一种多天线正交频分多址(OFDMA)系统中,利用用户优先权排序和贪婪算法结合动态分配子载波的方法,并通过功率的比例补偿分配来提高用户的数据率.仿真结果表明,该方法能使优先权高的实时业务用户获得高质量的服务,可获得比平均功率分配更高的数据率,当天线和载波数越多时数据率性能越好.     

OFDM系统功率和比特分配算法研究

该文研究OFDM系统在总功率和误比特率限定下最大化传输速率的问题,并且考虑实际系统中整数比特的限制,提出基于灌水法则的两种比特分配算法--改进的贪婪算法和对分灌水线搜索法,两种算法在计算复杂度上分别比贪婪算法和迭代灌水线搜索法小。仿真结果表明,改进的贪婪算法在性能上十分接近于贪婪算法,但是计算复杂度仅是贪婪算法的10%-30%,而对分灌水线搜索法在信噪比大于10dB的时候只要5-7次迭代便可以达到与贪婪算法只相差0.5%的性能。     

一种无线OFDM系统中的高效功率和比特分配算法

在限定无线OFDM通信系统的传输速率和最大误码率的情况下,该文提出了一种最小化发射功率的高效功率和比特分配算法。该算法首先利用注水水平和系统传输速率之间的关系求出无需预设步长和初始值的注水水平迭代公式,然后在部分子载波上使用简化的Greedy算法进行强制收敛。由于充分地利用了注水算法和Greedy算法的优点,该文算法不仅有效地避免了传统自适应算法的收敛性、初始值和步长选择等问题,而且计算效率更高。仿真结果验证了该算法的有效性。     

OFDM多用户系统中一种改进的自适应资源分配算法

针对正交频分复用(OFDM)多用户系统中一些智能算法存在收敛速度较慢且精度不高的问题,研究了把差分进化算法的变异与交叉行为引入人工鱼群算法中,以改进其随机行为。在此基础上,提出了一种改进的OFDM自适应资源分配算法。该算法先在公平度门限下分配子载波,再通过改进的人工鱼群算法进行功率分配。仿真结果表明,所提算法达到最优解时迭代次数有较大减少,同时搜索精度有所提高,在保证用户公平度的同时,提高了系统容量。     

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.     

Subcarrier and Power Allocation for the Downlink of Multiuser OFDM Transmission

In this paper, a new algorithm for subcarrier and power allocation for the downlink of multiuser OFDM transmission is presented. The proposed algorithm is more stable and it offers a lower complexity and better performance than previous existing algorithms. Khalid El Baamrani was born in Ouarzazate, Morocco in 1976. He received the License degree (equiv. B.A.) in electronic engineering from the University of Cadi Ayyad, Marrakech, Morocco, in 1998, the D.E.S.A. (equiv. M.A) in electrical engineering from the University of CadiAyyad, Marrakech, Morocco, in 2000, the certificate in engineering of the data-processing networks and telecommunications from the national institute of posts and telecommunications, Rabat, Morocco in 2002 and the Ph.D. degree at University of Cadi Ayyad, Marrakech, Morocco in 2005. His research interests include multicarrier modulation, communication theory, multiuser information theory, OFDM and DSL systems. Victor P. Gil Jiménez received the B. Eng. in Telecommunications with honors from University of Alcalá in 1998 and the M. Eng. in Telecommunications and the PhD. degree both from the University Carlos III de Madrid in 2001 and 2005, respectively. He is with the Department of Signal Theory and Communications at the University Carlos III de Madrid as an Assistant Professor. He worked at the Spanish Antarctica Base in 1999 as Communications Staff. He visited University of Leeds and Chalmers Technical University in 2003 and 2004 respectively. His research interests include multicarrier communications and signal processing for wireless systems. Ana Garcia Armada received the Telecommunication Engineer degree and the Ph.D in Electrical Engineering both from the Polytechnic University of Madrid (Spain) in 1994 and 1998, respectively. She is currently working as an Associate Professor at the University Carlos III de Madrid, where she has occupied several management positions. She has participated in several national and international research projects, most of them related to OFDM. She is coauthor of four books on wireless communications and signal processing. She has published 13 papers in international journals and more than 40 papers in conferences. She has contributed to international organizations such as ITU and ETSI. She has performed research stays in ESA-ESTEC, Kansas University, Stanford University and Bell Labs. Her research interests are simulation of communication systems, multicarrier and MIMO techniques.     

基于部分信道信息的自适应资源分配

在保证一定吞吐量前提下,为了降低传输功率,文中提出了一种基于部分信道反馈信息的多用户OFDM系统子载波分配方案。该方案利用少量已反馈子载波的状态信息来线性推导未反馈子载波的信道增益。仿真结果表明,在平坦瑞利信道衰落中,相比传统方式该方案在不增加反馈开销的前提下该方案能够大幅度地改善系统的性能,提高资源利用率。     

一种低复杂度的OFDM子载波分配算法

针对认知无线电中基于OFDM子载波分配ACG算法的计算复杂度高的这一缺点,提出了一种能降低计算复杂度的OFDM子载波分配算法。新的分配算法是通过运用设定方差门限值的方法把一些信道状态变化不大的连续子载波结合成子信道,从而将原来针对每个子载波的分配转变为针对子信道的分配,以此来降低频谱资源的分配次数。仿真分析表明,新的分配算法以牺牲少量频谱效益的代价,较之原有算法,明显地降低了计算复杂度。     

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.     

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。