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。     

MIMO-OFDM系统自适应资源分配算法研究

针对MIMO—OFDM系统的自适应调制问题,在完全已知信道状态和满足固定速率以及给定的误比特率的约束下以最小化发射功率为目的,文中提出了一种新的低复杂度的自适应算法,即M—P算法。该算法是对Hughes—Hartogs算法和变步长算法进行功率分配和步长加栽的改进。仿真结果表明,该算法在降低复杂度的同时提高了系统的性能。     

一种基于最小误码率的OFDM自适应比特及功率分配算法

OFDM自适应调制技术根据各子载波在频率选择性衰落信道中不同的瞬时增益,动态地分配数据比特和发射功率,可以优化系统性能,提高频谱效率。该文主要研究OFDM系统发射功率和传输比特数不变时误码率最小化的自适应(MA)算法。提出一种以注水门限为迭代参数的MA算法,并引入有记忆步长迭代法,提高算法的稳定性。仿真结果表明,与过去的算法相比,该算法能以较低的复杂度获得更好的性能。     

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.     

一种新的MIMO无线通信系统链路自适应算法

提出并分析了一种适用于MIMO系统的新的链路自适应算法。通过接收端估计信噪比,并利用各种编码调制方式的特性,该算法在接收端采用递归的方法确定了每一个发射端子信道所采用的编码调制方式,使反向链路仅传输少量的控制信息,实现了链路的自适应。仿真结果表明,文章所提出的算法大大提高了MIMO系统的吞吐量,且可靠性也显著增加。     

一种新的时变衰落信道下MIMO系统的功率分配与自适应调制算法

本文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.     

信道粒度可变的分块自适应OFDM传输系统

满足不同服务质量(QoS)业务是Beyond 3G系统必须考虑的一个问题。本文提出一种可变信道粒度的分块自适应OFDM系统。系统能够根据不同用户多样化的速率需求，自适应地改变分块的大小，并且在每个分块上进行自适应调制，在满足用户速率要求的基础上降低了对子载波分配信息(SAI)和自适应调制信息(AMI)的需求。仿真结果表明，本文提出的系统在系统容量和频谱效率上比固定分块自适应OFDM系统有更好的性能。     

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。     

OFDM系统的自适应调制仿真分析

在无线通信环境下,OFDM系统中每个子信道将经历不同的衰落。通常,为了提高系统的传输速率,要在很多信道条件不良的子信道中采用高阶调制方式。这将使OFDM系统的性能下降。该文采用自适应调制方案调整每个子信道或每组子信道的调制方式,使传输性能接近无差错,实现系统性能和传输速率的良好折衷;还根据不同的实际要求,对采用自适应调制的OFDM系统性能进行了仿真分析。仿真结果表明,自适应调制方案能有效地提高OFDM系统的性能。     

TD-HSDPA系统中改进的CQI预测方法

针对TD-HSDPA系统中自适应调制编码的实现过程,综合考虑信噪比与信道质量指示映射的准确性和反馈时延对系统性能的影响,提出了一种能补偿其带来的AMC性能下降的CQI预测方法,并通过MATLAB搭建了TD-HSDPA仿真链路对其进行了仿真验证.该方法在基站端利用上报的CQI历史值进行预测,同时根据接收数据的准确性,在UE端对SNR与CQI的映射表进行调整.仿真结果表明,该方案在中高速移动环境下能带来较大的吞吐量增益.     

An adaptive power distribution algorithm for improving spectral efficiency in OFDM

In this paper, we propose an adaptive power distribution algorithm which aims at improving the spectral efficiency in orthogonal frequency division multiplexing (OFDM) under the condition that the target bit error rate (BER) should be maintained and the transmit power threshold should not be exceeded. This algorithm is based on the iterative mechanism. In every iteration, the power and the corresponding number of bits are loaded to the subcarrier at which there is a modulation mode demanding the minimum average incremental transmit power per incremental bit to guarantee the pre-designated bit error rate (BER) performance. The iterative procedure terminates once the transmit power threshold is reached. The performance investigations show the proposed adaptive power distribution algorithm always outperforms the scheme of equal power distribution in a large dynamic range of transmit power threshold. Moreover, the performance improvement is very large when the transmit power threshold is required to be low.     

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。     

Turbo-BLAST系统中天线选择和功率分配算法

提出一种适用于Turbo-BLAST系统的自适应天线选择和功率分配算法,所提算法以误比特率为优化目标,并且考虑了信道估计误差的影响.在总功率约束条件下,采用所提算法进行天线选择和自适应功率分配,并利用软干扰抵消算法对接收信号进行迭代检测,以进一步改善系统性能.仿真结果表明:采用所提算法可以显著改善系统的误比特率性能.     

基于链路自适应的MIMO系统发射预编码方案研究

针对多输入多输出(MIMO)系统中发射天线之间存在的相关性对系统性能的影响,在已有的基于相关矩阵自适应调整发射功率和相位的预编码算法的基础上,增加基于最小判决距离最大化准则的自适应调制,使接收端能得到均衡且总体最小的误码率.仿真结果表明,该算法可更好地自适应信道,在误码率为10-2时,能取得4dB的增益.     

发送功率最小化自适应MIMO—OFDM系统研究

将自适应比特功率分配技术与空间分集技术结合起来,提出了一种与空时编码结合的固定速率自适应正交频分复用(OFDM)方案。该算法在保证给定的误比特率和信息速率的情况下,使总发送功率最小化。仿真结果表明,该算法在相同误比特率的情况下比不采用自适应技术的MIMO-OFDM系统节省了发送功率。     

A generalized Chinese remainder theorem-based proactive multi-secret sharing scheme for global wide area network

Adaptive communication for is one of the hottest areas of research in the telecommunication systems including wireless broadcast systems. This is primarily accomplished for sake of boosting the transmission throughput with enhanced quality of service and ideal link utilization. In adaptive communication, various radio transmission parameters like modulation symbol, code-rate and power etc. are carefully chosen according to the erratic channel state information on the link. Digital video broadcast—second generation (DVB-S2) has an inbuilt support for adaptive coding and modulation (ACM). However, power adaptation is still a necessity because of power constraint in downlink where satellite has a limited power bank. Moreover, different downlinks have distinct transmit power requirements due to diverse ambient on earth receivers like rainy, foggy, stormy and with clear sky etc., hence flat transmit power distribution among all the ground receivers may not be a good idea at all. To utilize the ACM feature in DVB-S2 and to additionally adapt power, in this paper, an adaptive modulation, coding (MODCOD) and power scheme is proposed. By investigating a fuzzy system and differential evolution algorithm, to select the set of MODCODs and optimum power vector, respectively, for the next transmission interval. From the simulation results it is apparent that the proposed scheme is promising in terms of efficient link and transmit power utilization as well as quality of service compared to the schemes in the literature with flat power distribution.

     

Multiuser OFDM with adaptive subcarrier, bit, and power allocation

Multiuser orthogonal frequency division multiplexing (OFDM) with adaptive multiuser subcarrier allocation and adaptive modulation is considered. Assuming knowledge of the instantaneous channel gains for all users, we propose a multiuser OFDM subcarrier, bit, and power allocation algorithm to minimize the total transmit power. This is done by assigning each user a set of subcarriers and by determining the number of bits and the transmit power level for each subcarrier. We obtain the performance of our proposed algorithm in a multiuser frequency selective fading environment for various time delay spread values and various numbers of users. The results show that our proposed algorithm outperforms multiuser OFDM systems with static time-division multiple access (TDMA) or frequency-division multiple access (FDMA) techniques which employ fixed and predetermined time-slot or subcarrier allocation schemes. We have also quantified the improvement in terms of the overall required transmit power, the bit-error rate (BER), or the area of coverage for a given outage probability     

自适应调制编码技术及其在移动通信中的应用

自适应调制编码技术是克服无线信道的时变性的一种重要链路适应技术。常用的链路自适应技术有自适应功率控制、自适应调制编码、自适应帧长等。本文主要介绍了两种自适应调制编码技术，并分析了各自的优缺点。     

一种基于错误传播补偿的V—BLAST自适应比特和功率分配算法

本文探讨了V-BLAST系统在总发射功率受限和一定目标误码率要求的前提下,基于自适应调制时间块的比特、功率分配问题,分析和比较了系统在采用不同串行干扰抵消顺序时的抗信道时变性能和抗错误传播性能,找出了在BER和速率两方面性能最优的串行干扰抵消顺序。针对错误传播对系统BER性能的冲击,提出了一种新的基于错误传播补偿的V-BLAST自适应比特、功率分配方案。仿真结果表明,该方案能显著提高系统在时变信道下的BER性能,有效增大自适应调制块长度,减小反馈开销。     

Multiantenna adaptive modulation with beamforming based on bandwidth-constrained feedback

Adaptive modulation has the potential to increase system throughput considerably by adapting transmission parameters to the time-varying channel characteristics. Crucial to adaptive systems is the requirement of a feedback channel, that is often capable of carrying only a limited number of bits. Under such a bandwidth-constrained feedback link, we aim to optimize a multiantenna system based on transmit beamforming and adaptive modulation, where the transmit power, the signal constellation, the beamforming direction, and the feedback strategy, are designed jointly. Our proposed nested iterative approach leads to an approximate, yet practical, solution. Simulation results demonstrate considerable improvement in transmission rate, as the number of feedback bits increases.