时变信道下MIMO系统自适应调制与功率分配的算法性能分析

提出一种在时变衰落信道下，MIMO系统的功率分配和自适应调制方法。该方法采用空域注水定理，在发送端天线的平均功率受限的条件下，按照信道传输矩阵的奇异值对发端的多天线进行最优功率分配和自适应MQAM调制。本文从频谱效率方面对其性能进行分析，给出了信道估计的误差和反馈时延对该方法的影响。理论分析和仿真结果表明，该方法实现简单，且与传统的总功率受限的自适应调制方法相比，具有更高的频谱效率。     

基于MIMO信道估计误差模型的功率分配与自适应调制算法

该文分析了瑞利平坦衰落信道下,信道估计误差对采用迫零接收的MIMO系统性能的影响,提出了一种以系统有效吞吐量最大化为目标的功率分配与自适应调制算法。为了减少信道估计误差对实际系统性能的影响,该算法对发送端估计的信噪比进行修正,并以此作为功率分配和自适应调制的依据。在系统总功率受限的条件下,对发端多天线的功率分配结合了空域注水定理和比特分配,并尽量保证调制阶数高的数据符号所在天线的功率。仿真结果表明,该算法实现较简单,获得的系统有效吞吐量接近于最优值,适用于实际系统。     

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。     

一种MIMO系统中的新型资源分配算法

本文提出了一种MIMO(Multi-Input and Multi-Output)系统中的新型自适应调制和功率分配算法,在奇异值分解的基础上通过注水算法进行功率分配,此后根据所分配的功率与信道状态信息来确定自适应调制的门限及相应的调制阶数,并在自适应调制后通过功率修正因子来弥补常见算法中功率不能得到有效利用的问题,仿真结果表明该算法可以得到较高的频谱效率.     

单天线功率受限的自适应调制V-BLAST系统

提出了一种在单天线峰值瞬时功率和总平均功率都受限条件下的改进注水法和离散调制的比特、功率分配方法,并应用于自适应调制V-BLAST系统.如果由注水法得到的分配结果中某发射天线的瞬时功率高于峰值功率限制,就修正该天线的分配比特数和功率使之满足限制要求,剩余的功率再由注水法分配到其他天线上.仿真结果表明,提出的算法很好地满足了目标要求,而且单天线功率受限使比特率有所下降.     

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.     

多天线OFDM系统中的自适应子信道分配和天线选择

针对多用户MIMO-OFDM系统,提出自适应子信道分配算法.首先将相邻的子载波分块成若干子信道,在分配子信道的时候优先考虑平均信道容量小的用户,并且将相对利用度大的子信道分配给该用户,从而在频谱利用率和公平性上具有较好的性能.为了降低发送端的硬件复杂度以及非线性因素的影响,将自适应信道分配和发送天线选择相结合,提出联合自适应子信道分配和天线选择算法.仿真结果表明,本文提出的联合算法具有较高的频谱效率和较低的中断概率.     

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。     

基于部分信道信息的卫星移动链路ACM方法

在卫星移动通信环境下,由于信道时变特性以及巨大的往返传输延迟,极大地限制了卫星自适应编码调制（adaptive coding and modulation）技术的应用.为了解决这个问题,根据卫星移动通信上下行链路的视线信道分量满足近似互易性的特点,本文提出了一种基于部分信道信息的自适应调制编码方法.在满足平均发射功率和平均比特错误率的约束条件下,导出了最优的自适应编码调制策略和功率分配方法.提出的方法克服了现有自适应方法的局限性,同时,通过频谱效率性能的仿真验证了提出方法的有效性.     

自适应MQAM调制性能分析

本文首先分析了自适应MQAM调制的原理,它以频谱效率最高为准则,在恒定功率约束条件下对接收信噪比优化来选择不同调制阶数。然后引入时变多径信道模型,通过仿真给出了自适应QAM在此信道条件下的性能,并分析了信道估计误差对其性能的影响。     

多载波通信系统的实用功率分配算法

本文利用多载波通信系统的误码率、比特位数与信噪比之间的关系提出了性能良好的快速表查询法.在噪声干扰,信道衰减和一定频段上功率谱密度对子信道最大传输位数限制的条件下,得到了一种实用的离散多音频多载波通信系统的功率分配和数据位加载算法.在系统初始化过程中,该算法使系统能在满足各种约束条件下达到最优功率分配和数据位加载,比其他算法具有更高的计算效率和更大的系统性能裕量.在信道特性变化时,该算法使系统在不增加硬件的情况下能进行快速跟踪和自适应位交换.     

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.     

Proportional Fair Resource Allocation Based on Chance-Constrained Programming for Cognitive OFDM Network

Proportional fair resource allocation plays a critical role to balance the spectrum efficiency and fairness for cognitive orthogonal frequency division multiplexing (OFDM) network. However, due to the lack of cooperation between cognitive radio (CR) network and primary network, channel state information between CR base station (CRBS) and primary user (PU) could not be estimated precisely. Therefore, the interference of CRBS–PU couldn’t be computed precisely and chance-constrained programming is adopted to formulate the resource allocation problem. In this work, we study the proportional fair resource allocation problem based on chance-constrained programming for cognitive OFDM network. The objective function maximizes the spectral efficiency of cognitive OFDM network over subcarrier and power allocation. The constraint conditions include the interference constraint of PU with the target probability requirement and the proportional fair rate requirement of CR users. In order to solve the above optimization problem, two steps are taken to develop hybrid immune optimization algorithm (HIOA). In the first step, the probabilistic interference constraint condition is transformed as an uncertain function which is computed by a generalized regression neural network (GRNN). In the second step, we combine immune optimization algorithm and GRNN to develop HIOA. Simulation results demonstrate that HIOA yields higher spectral efficiency while the probabilistic interference constraint condition and the proportional fair rate constraint condition could be satisfied very well.     

Performance analysis of user fair-based relay adaptive power allocation in physical-layer network coding cooperation

Network Coding (NC) is an effective technology to enhance the cooperative system spectral efficiency. However, since it is network-oriented, the existing performance metric of single-user outage can not comprehensively evaluate its gain and the impact to the entire network, which affect the user fairness. This paper proposes two novel user fair-based adaptive relay power allocation algorithms in single-relay NC cooperative multiple access channels. Firstly, common outage probability is employed as the performance metric, and to minimize it, a specific condition is deduced. On this basis, the instantaneous channel information-based adaptive relay power allocation scheme and the channel statistic information-based one with lower complexity are designed respectively, which make users?? signals superimposed at accurately calculated proportion to maintain fairness. Simulation results show that compared with other existing schemes, the proposed schemes can best maintain user fairness, and effectively improve the common outage performance of the whole system, at the expense of small spectral efficiency.     

OFDM双向多跳网络的新型比特和功率分配算法

结合新型双向多跳网络协议和正交频分复用技术,研究旨在保证通信质量情况下的自适应比特和功率分配算法,其目的是以较小发送功率和较高频谱效率完成通信。通过凸优化理论推导出最优功率分配算法,并提出一种基于贪婪原则的自适应比特分配算法,能够以较低的复杂度在实际工程中完成部署。仿真分析表明,提出的双向多跳算法是传统多跳协议频谱效率的2倍,所需发送功率是平均资源分配算法的1/3。     

MIMO-OFDM系统自适应高效功率分配

基于注水算法和Campello算法的基本思想,提出了一种新的多输入多输出-正交频分复用（MIMO-OFDM）系统自适应混合高效功率分配算法。该算法先基于注水算法采用速率最大化准则计算开关信道的临界值,并对功率进行一次分配,然后基于Campello算法对剩余功率进行再次分配。仿真表明：此高效算法可以实现对信道子载波的功率和比特有效分配,且系统的性能比Campello算法有所改善,并且随着收发天线的增加系统性能逐渐提高。     

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。     

Multimedia transmission in MC-CDMA using adaptive subcarrier power allocation and CFO compensation

Multicarrier code division multiple access (MC-CDMA) system is one of the most effective techniques in fourth-generation (4G) wireless technology, due to its high data rate, high spectral efficiency and resistance to multipath fading. However, MC-CDMA systems are greatly deteriorated by carrier frequency offset (CFO) which is due to Doppler shift and oscillator instabilities. It leads to loss of orthogonality among the subcarriers and causes intercarrier interference (ICI). Water filling algorithm (WFA) is an efficient resource allocation algorithm to solve the power utilisation problems among the subcarriers in time-dispersive channels. The conventional WFA fails to consider the effect of CFO. To perform subcarrier power allocation with reduced CFO and to improve the capacity of MC-CDMA system, residual CFO compensated adaptive subcarrier power allocation algorithm is proposed in this paper. The proposed technique allocates power only to subcarriers with high channel to noise power ratio. The performance of the proposed method is evaluated using random binary data and image as source inputs. Simulation results depict that the bit error rate performance and ICI reduction capability of the proposed modified WFA offered superior performance in both power allocation and image compression for high-quality multimedia transmission in the presence of CFO and imperfect channel state information conditions.