The bits and power allocation model of adaptive power-rate mixture for multi-user multi-server power-line communication systems was analyzed with the restrictions of maximal total power,fixed rate for each real time (...The bits and power allocation model of adaptive power-rate mixture for multi-user multi-server power-line communication systems was analyzed with the restrictions of maximal total power,fixed rate for each real time (RT) user,minimal rate for each non-real time (NRT) user,maximal bits and power for each subcarrier in each orthogonal frequency division multiplexing (OFDM) symbol. An algorithm of resource dynamic allocation in the first OFDM symbol of each frame and resource optimal adjustment in the latter OFDM symbol of each frame was proposed. In the first OFDM symbol of every frame,resource is firstly assigned for RT users so as to minimize their total used power until satisfying their fixed rates; secondly the remainder resource of power and subcarriers are assigned for NRT users so as to minimize their total used power until satisfying their minimal rates also; lastly the remainder resource is again assigned for NRT users according to the proportional fairness strategy so as to maximize their total assigning rate. In the latter OFDM symbol of each frame,bits are swapped and power is adjusted for every user based on the resource allocation results of anterior OFDM symbol. The algorithm is tested in the typical power-line channel scenarios and the simulation results indicate that the proposed algorithm has better performances than the classical multi-user resource allocation algorithms and it realizes the multiple aims of multi-user multi-server resource allocation for power-line communication systems.展开更多
An adaptive channel estimation algorithm for the channel length is proposed to construct a channel estimation model suitable for orthogonal frequency division multiplexing(OFDM)underwater acoustic communication signal...An adaptive channel estimation algorithm for the channel length is proposed to construct a channel estimation model suitable for orthogonal frequency division multiplexing(OFDM)underwater acoustic communication signals for the dependence of traditional channel estimation algorithms on channel length information.This algorithm can be adopted to evaluate channel estimation quality in real time and to adaptively adjust the channel length of the channel estimation algorithm according to the evaluation result,which satisfies the need of accurate estimation of unknown underwater acoustic channels and communication application;based on the study on the relationship between the OFDM communication bit error rate and the subcarrier signal to noise ratio,a self-adjusting optimization scheme for OFDM subcarrier transmitting power is proposed,which realizes underwater communication with the low bit error rate through higher energy efficiency.The validity of the research content is verified through simulation and field experiments.展开更多
针对动态变化的信道环境,自适应正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统可以对子载波间隔和循环前缀长度进行调整,以最大化系统的吞吐量。为了能够快速准确地找到OFDM系统在不同信道环境中的最优子载波间...针对动态变化的信道环境,自适应正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统可以对子载波间隔和循环前缀长度进行调整,以最大化系统的吞吐量。为了能够快速准确地找到OFDM系统在不同信道环境中的最优子载波间隔和循环前缀长度取值,本文提出了基于随机森林的OFDM系统自适应算法。随机森林算法基于集成的思想,能够有效处理高维度数据,并且具有高效率、高准确率和强泛化能力等优势,可以在复杂的数据场景下进行有效的分类。通过提取通信过程中信噪比、用户移动速度、最大多普勒频率和均方根时延扩展等信道特征与OFDM系统的子载波间隔和循环前缀长度组成训练样本,利用随机森林算法创建了OFDM系统参数多分类模型。所提模型可以根据输入的信道特征,实现OFDM系统子载波间隔和循环前缀长度的自适应分配。同时,针对训练样本主要集中在少数几个系统参数类别的情况,利用合成少数类过采样技术对较少样本数的类别进行扩充,满足了随机森林算法对训练样本类别平衡化的需求,进一步提高了算法的分类准确率。相比传统的自适应算法,所提算法具有更高的分类准确率和模型泛化能力。分析和仿真结果表明,与子载波间隔和循环前缀长度固定的OFDM系统相比,本文所提出的自适应算法能够准确选择出最优的系统参数,可以有效地减轻信道中符号间干扰和子载波间干扰的影响,从而在整个信噪比范围上提供最大的平均频谱效率。基于随机森林的OFDM系统自适应算法能够动态地分配子载波间隔和循环前缀长度,增强OFDM系统的通信质量和抗干扰能力,实现在不同信道环境下的可靠传输。展开更多
综述了目前国内外关于高功率线性放大器(High Power Amplifier,HPA)线性化技术的研究状况,分析了HPA非线性对OFDM信号的影响;总结分析了一些常用、典型线性化技术的优、缺点及适用范围;展望了HPA线性化技术的发展前景,系统地指出了关于...综述了目前国内外关于高功率线性放大器(High Power Amplifier,HPA)线性化技术的研究状况,分析了HPA非线性对OFDM信号的影响;总结分析了一些常用、典型线性化技术的优、缺点及适用范围;展望了HPA线性化技术的发展前景,系统地指出了关于HPA线性化技术进一步研究应注意的问题。展开更多
针对电力线通信的限制条件,探讨在每自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)符号内各用户要求速率、各子信道分配最大功率和比特数约束下,多用户在多子信道上自适应比特和功率分配的数学模型,提出2种新...针对电力线通信的限制条件,探讨在每自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)符号内各用户要求速率、各子信道分配最大功率和比特数约束下,多用户在多子信道上自适应比特和功率分配的数学模型,提出2种新的基于用户优先级的功率自适应动态资源分配算法,其不同之处是,多用户在同频子信道下功率分配时,一是基于Perron-Frobenius理论,另一是基于非合作博弈论。在典型电力线信道环境下仿真分析算法的性能,并分析干扰因子和定价因子对算法性能的影响。结果表明,基于非合作博弈论的资源分配算法可以通过定价因子的改变来控制分配的功率过大等问题,从而能更好地满足电力线通信系统中高速率、低功耗和低复杂度的要求。展开更多
MI MO/OFDM是未来宽带无线通信接口的有效架构。本文提出了一种自适应跨层空间子信道分配算法,在多用户MI MO/OFDM系统中,联合链路层截短ARQ(T-ARQ)技术,以获取物理层最大的系统吞吐量为目标,推导了子载波分配准则,并给出了相应的算法...MI MO/OFDM是未来宽带无线通信接口的有效架构。本文提出了一种自适应跨层空间子信道分配算法,在多用户MI MO/OFDM系统中,联合链路层截短ARQ(T-ARQ)技术,以获取物理层最大的系统吞吐量为目标,推导了子载波分配准则,并给出了相应的算法流程。仿真结果表明,该算法具有良好的性能,有效地提高了系统的传输速率。展开更多
动态频谱分配应用于实际电力线通信系统面临分配策略、实时算法等诸多挑战,到目前为止还未见有公开报道。定义并设计了一个实际的基于正交频分复用(orthogonal frequency division multiplexing,OFDM)的高速窄带电力线通信系统构架,并...动态频谱分配应用于实际电力线通信系统面临分配策略、实时算法等诸多挑战,到目前为止还未见有公开报道。定义并设计了一个实际的基于正交频分复用(orthogonal frequency division multiplexing,OFDM)的高速窄带电力线通信系统构架,并提出一种适用于该系统的动态频谱分配策略和对应的实时实现算法。该算法在任一种调制方式下将子载波进行分组,并对各个子载波组的功率进行排序,选择可用的子载波组,根据速率最大化准则确定最优的调制方式并分配功率。该算法与Hughes-Hartogs算法相比,具有较低的运算复杂度和较少的信令开销,与传统的等功率分配方式相比,误码性能更好。仿真结果和实验结果证明了该算法的有效性和优越性。展开更多
基金Projects(51007021, 60402004) supported by the National Natural Science Foundation of China
文摘The bits and power allocation model of adaptive power-rate mixture for multi-user multi-server power-line communication systems was analyzed with the restrictions of maximal total power,fixed rate for each real time (RT) user,minimal rate for each non-real time (NRT) user,maximal bits and power for each subcarrier in each orthogonal frequency division multiplexing (OFDM) symbol. An algorithm of resource dynamic allocation in the first OFDM symbol of each frame and resource optimal adjustment in the latter OFDM symbol of each frame was proposed. In the first OFDM symbol of every frame,resource is firstly assigned for RT users so as to minimize their total used power until satisfying their fixed rates; secondly the remainder resource of power and subcarriers are assigned for NRT users so as to minimize their total used power until satisfying their minimal rates also; lastly the remainder resource is again assigned for NRT users according to the proportional fairness strategy so as to maximize their total assigning rate. In the latter OFDM symbol of each frame,bits are swapped and power is adjusted for every user based on the resource allocation results of anterior OFDM symbol. The algorithm is tested in the typical power-line channel scenarios and the simulation results indicate that the proposed algorithm has better performances than the classical multi-user resource allocation algorithms and it realizes the multiple aims of multi-user multi-server resource allocation for power-line communication systems.
基金supported by the National Natural Science Foundation of China(51679247)
文摘An adaptive channel estimation algorithm for the channel length is proposed to construct a channel estimation model suitable for orthogonal frequency division multiplexing(OFDM)underwater acoustic communication signals for the dependence of traditional channel estimation algorithms on channel length information.This algorithm can be adopted to evaluate channel estimation quality in real time and to adaptively adjust the channel length of the channel estimation algorithm according to the evaluation result,which satisfies the need of accurate estimation of unknown underwater acoustic channels and communication application;based on the study on the relationship between the OFDM communication bit error rate and the subcarrier signal to noise ratio,a self-adjusting optimization scheme for OFDM subcarrier transmitting power is proposed,which realizes underwater communication with the low bit error rate through higher energy efficiency.The validity of the research content is verified through simulation and field experiments.
文摘针对动态变化的信道环境,自适应正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统可以对子载波间隔和循环前缀长度进行调整,以最大化系统的吞吐量。为了能够快速准确地找到OFDM系统在不同信道环境中的最优子载波间隔和循环前缀长度取值,本文提出了基于随机森林的OFDM系统自适应算法。随机森林算法基于集成的思想,能够有效处理高维度数据,并且具有高效率、高准确率和强泛化能力等优势,可以在复杂的数据场景下进行有效的分类。通过提取通信过程中信噪比、用户移动速度、最大多普勒频率和均方根时延扩展等信道特征与OFDM系统的子载波间隔和循环前缀长度组成训练样本,利用随机森林算法创建了OFDM系统参数多分类模型。所提模型可以根据输入的信道特征,实现OFDM系统子载波间隔和循环前缀长度的自适应分配。同时,针对训练样本主要集中在少数几个系统参数类别的情况,利用合成少数类过采样技术对较少样本数的类别进行扩充,满足了随机森林算法对训练样本类别平衡化的需求,进一步提高了算法的分类准确率。相比传统的自适应算法,所提算法具有更高的分类准确率和模型泛化能力。分析和仿真结果表明,与子载波间隔和循环前缀长度固定的OFDM系统相比,本文所提出的自适应算法能够准确选择出最优的系统参数,可以有效地减轻信道中符号间干扰和子载波间干扰的影响,从而在整个信噪比范围上提供最大的平均频谱效率。基于随机森林的OFDM系统自适应算法能够动态地分配子载波间隔和循环前缀长度,增强OFDM系统的通信质量和抗干扰能力,实现在不同信道环境下的可靠传输。
文摘针对电力线通信的限制条件,探讨在每自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)符号内各用户要求速率、各子信道分配最大功率和比特数约束下,多用户在多子信道上自适应比特和功率分配的数学模型,提出2种新的基于用户优先级的功率自适应动态资源分配算法,其不同之处是,多用户在同频子信道下功率分配时,一是基于Perron-Frobenius理论,另一是基于非合作博弈论。在典型电力线信道环境下仿真分析算法的性能,并分析干扰因子和定价因子对算法性能的影响。结果表明,基于非合作博弈论的资源分配算法可以通过定价因子的改变来控制分配的功率过大等问题,从而能更好地满足电力线通信系统中高速率、低功耗和低复杂度的要求。
文摘动态频谱分配应用于实际电力线通信系统面临分配策略、实时算法等诸多挑战,到目前为止还未见有公开报道。定义并设计了一个实际的基于正交频分复用(orthogonal frequency division multiplexing,OFDM)的高速窄带电力线通信系统构架,并提出一种适用于该系统的动态频谱分配策略和对应的实时实现算法。该算法在任一种调制方式下将子载波进行分组,并对各个子载波组的功率进行排序,选择可用的子载波组,根据速率最大化准则确定最优的调制方式并分配功率。该算法与Hughes-Hartogs算法相比,具有较低的运算复杂度和较少的信令开销,与传统的等功率分配方式相比,误码性能更好。仿真结果和实验结果证明了该算法的有效性和优越性。
