帧长和信道预测对自适应调制系统性能的影响

该文主要分析了在自适应调制系统中,帧长自适应和信道预测对系统性能的影响。推导了信道预测和没有信道预测的自适应调制系统的频谱效率公式,分析结果表明对于自适应调制系统,信道预测的系统频谱效率是最优的,非信道预测系统根据信道情况选择最优帧长可以获得该系统的最优系统频谱效率,但它是低于信道预测的频谱效率的,而且是随多普勒频率的增大而逐渐减小的。     

基于无线信道预测的自适应调制

该文研究了在平坦Rayleigh衰落信道下,借助于无线信道预测对一个基于非编码的MQAM自适应调制进行优化设计的问题。主要是通过采用无偏二阶估计的方法去研究一个已知的预测误差方差对最优化传输特性的影响。推导出基于预测的信噪比和预测误差方差的数据速率的最优解,以此对数据速率进行调整,使得频谱效率在误比特率的约束条件下达到最大化。通过仿真给出的数值解表明它能更好地将链路自适应地快速调整到信道的真实条件,提高整个系统的性能。     

差错信道下IEEE 802.11 DCF最优帧长分析及信道自适应策略

分析了差错信道下IEEE 802.11 DCF在饱和状态下的吞吐量以及帧长度对吞吐量的影响.研究表明在一定的误码率（BER）下存在最优的帧长使得系统吞吐量最大,并且该最优值与发送节点的数目无关.在此基础上,提出了一种简单的基于BER区间划分的帧长控制的信道自适应发送策略.仿真表明,与固定帧长的发送策略相比较,使用该策略在差错信道下可以有效地提高吞吐量.     

自适应编码调制系统中影响估计性能的信道参数及其对系统性能的影响

在已有的误差函数的基础上,结合信道的功率谱特性,分析了自适应编码调制(ACM)系统的估计性能,并推导出含有重要信道参数的误差函数的闭合表达式,找到了能够对估计性能产生影响的信道参数,例如,莱斯因子,到达角的角度扩展等等.通过对与估计性能相关的系统性能的分析,明确了这些信道参数对估计性能乃至整个系统的作用和影响.由于估计误差的存在,系统选择自适应编码调制方案的信道信噪比(CSNR)的门限也有相应的改变.在此研究了不同的信道传输环境对这种改变的影响程度.     

自适应Turbo-QAM编码调制及其在 平坦Nakagami衰落信道的吞吐量性能

本文提出了一种通用的自适应编码调制系统吞吐量性能分析方法.基于各固定编码调制方式的误码率(BER)性能,使每种编码调制方案对应于一个信道平均信噪比(SNR)范围,再应用拉格朗日函数法得到使自适应编码调制系统吞吐量性能最大的信噪比转换门限,可得到系统的平均吞吐量性能.数值分析结果表明,相对于自适应M进制正交幅度调制(MQAM),自适应Turbo编码MQAM系统吞吐量性能有显著提高,并且该性能受瞬时误码率要求的影响较小.Nakagami信道中,在相同平均信道信噪比条件下,随着m的增大,系统吞吐量性能提高缓慢.     

时变衰落信道中自适应调制编码技术

在移动通信系统中,由于无线时变衰落信道的特点,使通信过程存在大量的不确定性,自适应方式在信道条件好时提高了传输速率或减小发送功率,在信道条件差时降低了速率或增大功率。通过仿真结果证明,根据信道的优劣情况进行自适应调制的系统在保持较低的误码率性能的同时,能提高了系统的传输速率,从而增强传输的可靠性并可提高频带利用率。     

自适应调制技术在衰落信道中的应用

该文论述了智能传输中的关键技术——自适应调制技术的应用,结合当前的背景给出了FDD和TDD方式下基站和移动台采用自适应调制的原理框图,并在文章的最后分析了一般调制方式与自适应方式的仿真结果。     

采用固定门限划分自适应调制的MPSK系统性能分析

自适应调制是提高系统吞吐量的一种有效技术,它通过对信道当前状况的估计,选择下一时刻发送信号的调制格式.自适应调制技术有多种方式,这里使用惩罚函数寻找固定门限,并研究了采用固定门限划分方法的MPSK系统在白噪声Rayleigh信道下的频带利用率和误码率性能.仿真结果不仅说明了自适应调制技术的有效性,而且对实际信道下自适应调制门限的划分具有一定的参考价值.     

空间相关衰落信道下结合空时编码的自适应调制系统

研究了空间相关衰落信道下结合空时分组码的自适应调制系统（STBC-AM）的性能,推导出平均频谱效率和误码率的表达式。理论分析和数值计算结果表明,自适应调制提高了系统的频谱效率。空间相关虽然会造成系统性能的下降,但是当相关系数小于0.5时影响很小。即使相关系数为0.8时,STBC-AM还是远优于一般的自适应调制系统。     

基于天线阵元功率限制MIMO系统的自适应调制

本文研究了天线阵元的发射功率受限MIMO系统。在信道准静态和系统发端已知信道信息的假设下,我们研究了该受限MIMO系统性能。在系统优化分析基础上,设计了一种简单的Bit分配方案进行系统自适应调制逼近系统容量。仿真结果表明该系统能更好接近真实环境,调制方案有较好性能。     

采用自适应调制技术的时变MIMO信道的性能分析

本文采用可变速率和功率的MQAM调制方式研究时变情况下多输入多输出（MIMO）系统的性能,推导出了在速率离散分阶的情况下的功率和速率的分配公式.对不同的速率量化算法的仿真实验表明,在不知道信道矩阵概率密度函数的情况下,本文采用的速率量化算法可以有效的提高系统的频谱利用率,同时大大的减小了计算的复杂性.     

基于Online-GRU信道预测的星上自适应功率控制方法

针对传统卫星功率控制方法存在资源浪费、时延长的问题,提出一种基于在线-门控循环单元(Online-GRU)信道预测的星上自适应功率控制方法,通过在线训练更新网络参数来解决离线预测算法存在的累积误差的问题。仿真结果表明,提出的在线训练算法比离线算法预测精确度提升了38.30%,相比在线-长短期记忆网络(Online-LSTM)节约了63.21%的训练时间;提出的自适应功率控制方法比固定发射功率的方法节约了55.74%的发射功率;同时,相比基于地面定时反馈信道状态的自适应功率控制方法具备更好的鲁棒性。     

Study on adaptive modulation in D2D communications over Nakagami-m fading channel

A novel adaptive modulation based on nondata-aided error vector magnitude (NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device (D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio (SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)^-1,compared with traditional algorithm.     

Blind adaptive modulation systems for wireless channels with binary feedback

In this paper, we investigate the performance of a blind adaptive modulation scheme that does not require any channel knowledge and just uses binary feedback, thereby decreasing feedback load. Retransmission of erroneous packet is not considered. In particular, we present an analytical framework for the performance evaluation of a simple wireless system in terms of receiver and transmitter structure. The system requires no knowledge of the channel and relies on a binary feedback. Slow and fast Rayleigh fading channel conditions are considered. The paper includes the derivation of the closed‐form expressions of the spectral efficiency. In some cases, closed‐form expression for packet error rate (PER) are derived. Our results show relatively high PER but some applications can still operate in a satisfactory fashion in these conditions, such as voice communication. Using coded modulation with high coding gain and increasing the number of blocks per time slot decrease the PER even more. An advantage of this system is that it uses a low complexity receiver, which sends binary feedback. Copyright © 2006 John Wiley & Sons, Ltd.     

相关衰落信道下的一种层间联合自适应SR-ARQ传输机制

传统自适应传输机制在相关慢衰落信道下有较差的系统性能.针对相关衰落信道,提出了一种层间联合自适应传输机制.利用有限状态马尔可夫链来描述相关衰落信道,同时通过构建一个多状态马尔可夫系统模型来分析系统吞吐性能,并对调制方式和传输分组大小进行优化.另外,推导了系统平均吞吐性能的表达式.仿真结果显示所提出的自适应传输机制在相关衰落信道上能获得更好的系统性能.     

Channel estimation and long-range prediction of fast fading channels for adaptive OFDM system

This correspondence presents the channel estimation and long-range prediction technique for adaptive-orthogonal-frequency-division-multiplexing (AOFDM) system. The efficient channel loading is accomplished by feeding the accurately predicted channel-state-information (CSI) back to transmitter. The frequency-selective wireless fading channel is modelled as a tapped-delay-line-filter governed by a first-order autoregressive (AR1) process; and an adaptive channel estimator based on the generalised-variable-step-size least-mean-square (GVSS-LMS) algorithm tracks AR1 correlation coefficient. To compensate for the signal fading due to channel state variations, a modified-Kalman-filter (MKF)-based channel estimator is utilised. In addition, channel tracking is also performed for predicting future CSI at receiver, based on the numeric-variable-forgetting-factor recursive-least-squares (NVFF-RLS) algorithm. Subsequently, adaptive bit allocation for AOFDM system is employed by using predicted CSI at transmitter. Here, the proposed combination of GVSS-LMS and MKF algorithms for robust channel estimation and the NVFF-RLS algorithm for efficient channel prediction is incorporated. The performance validation of presented method is carried out by using different channel realisations through simulation, and also by comparing it with fixed step-size LMS, MKF and fixed forgetting-factor RLS algorithm based conventional techniques. Eventually, the reliable performance of underlying AOFDM system can be achieved in terms of the lower mean squared estimation/prediction errors and alleviated symbol error rate.     

Packet splitting and adaptive modulation based on CSI of time domain for decode‐and‐forward cooperative OFDM systems in different channel model

Cooperative communications obtain the transmission and channel diversity gains by using the relay node. However, since cooperative communications transmit the redundancy signal to obtain the transmission diversity gain, the transmission rate is degraded. Moreover, since cooperative communications add the interference in the relay node, the diversity gain is also degraded. The packet splitting has been proposed based on the channel state information of the time domain to obtain the good system performance without the redundancy signal. Moreover, the adaptive modulation has been proposed to improve the transmission rate. In this paper, we propose the combination method with the packet splitting and the adaptive modulation based on the channel state information of the time domain to improve the bit error rate and throughput performances for decode‐and‐forward cooperative orthogonal frequency division multiplexing systems in the different channel model. From the computer simulation results, we determine the optimum weight and threshold for the proposed method. Moreover, the proposed method shows the good bit error rate and throughput performances.     

基于小波分组调制的多码多载波跳频通信系统分析

介绍了一种将多码调制、小波分组调制以及跳频技术相结合的高效通信方式——小波分组多码多载波跳频通信系统.推导了系统在Nakagami-m衰落信道下的误码性能,给出了用户数、小波分组类型、小波分组滤波器长度以及跳频点数与系统性能之间的关系.理论分析与数值计算表明:增加小波分组滤波器长度可以有效降低系统误码率,但不同小波分组类型对系统性能的影响不大;跳频技术的引入不仅增加了系统的安全性,同时也可有效降低多址干扰对系统性能的影响,提高了系统的可靠性.     

基于脉冲调制的GSM语音信道数据传输方法

针对全球移动通信系统 (GSM) 的安全机制不能实现端到端安全通信问题,提出了一种低复杂度基于脉冲调制的数据传输方案及优化方法。分别设计了基于脉冲位置调制及脉位结合极性调制的类语音信号,给出了基于跳时脉冲的帧同步方法。搭建了基于脉冲调制的GSM语音信道数据传输仿真平台,分析比较了不同调制阶数和不同自适应多速率编码 (AMR) 码率下系统的性能。为了提高系统可靠性,引入卷积码进一步降低了系统误码率。仿真结果表明,4阶脉冲调制最适用于语音信道,所提脉冲调制方法与传统低复杂度频移键控 (FSK) 调制方式误码率近似,但传输速率高,且提出的脉位结合极性调制进一步提高了传输速率,总提高比例达到36%。     

符号率及调制参数可控的自适应调制系统研究

自适应调制是移动宽带系统的关键技术之一,它通过研究无线信道的衰落程度、信道流量等参数动态地改变调制方式,从而有效地改善误比特率性能和信息传输速率。本文研究了通过改变符号率及调制电平的方法实现的自适应调制系统。