存在信道反馈延迟时Turbo-BLAST系统的自适应功率分配算法

该文针对信道反馈有延迟的Turbo-BLAST系统,以误比特率(Bit Error Rate, BER)为优化目标,提出次优和最优两种自适应功率分配算法。通过系统建模和性能分析,推导出系统瞬时信噪比(Signal Noise Ratio, SNR)的条件概率密度函数,利用数学变换得到信道反馈有延迟时系统BER的表达式。发送端在总功率约束条件下,分别采用拉格朗日极值法和牛顿迭代法求解功率分配矩阵的次优解与最优解。接收端采用基于迫零(Zero Forcing, ZF)准则的软干扰抵消算法进行迭代检测。仿真结果表明,和等功率分配相比,采用该文所提两种算法均可改善系统的BER性能。最优功率分配算法以增加计算复杂度为代价更好地改善了系统的BER性能,而接收端的迭代检测可进一步改善系统性能。     

基于误码率最小化的V-BLAST系统的最优功率分配

多输入多输出无线通信系统能通过空间复用提供巨大的信道容量。结合自适应技术，从最小化误码率的角度，针对两根发射天线的V-BLAST系统提出了一种新的天线间功率分配方案。所提方案根据信道情况分配各天线的发射功率，减小了误差传播效应带来的影响。仿真结果表明与传统的V-BLAST算法相比，在两发两收V-BLAST系统中，误码率为10^-3时，可获得2dB的信噪比增益，在误码率低于10^-3时，可获得至少1．5dB的信噪比增益。     

V-BLAST系统中采用发射功率分配的MMSE迭代软干扰抵消算法

作为一种软输入软输出的MIMO检测算法,MMSE迭代软干扰抵消算法在MIMO Turbo接收机中得到广泛的关注。为了进一步改善系统性能,采用链路自适应方案是很好的选择。该文给出变发射功率的MMSE迭代软干扰抵消算法,并采用了一种有效的发射功率分配方案,只需要很少的控制信令,就可以获得较大的误码率性能改善。通过没有信道编译码的链路仿真,在4发4收QPSK调制的V-BLAST系统中,如果误码率要求为BER=10-3,MMSE迭代软干扰抵消检测算法迭代次数为2时,采用推荐的发射功率分配方案比不采用发射功率分配方案的系统性能提高了约2dB,如果调制方式为16QAM,系统性能提高了约6dB。     

迫零检测V-BLAST系统的发送功率分配方式研究

V-BLAST是一种较容易实现并被广泛研究的MIMO空时码结构,常用解码方式连续迫零抵消算法(ZF-VBLAST)使得先后解调的数据有不同的分集增益和误码率,而通过在发送端引入功率分配可以改变分集增益从而改变系统的性能。本文分析了平均分配、灌水法则分配和ChannelInversion三种发送湍功率分配方式对系统频谱效率的影响,并对它们进行了仿真,讨论了它们的适用场合。     

可变速率可变功率的V-BLAST系统的性能分析

对采用V-BLAST算法的多输入多输出无线通信系统的功率控制进行了研究,提出了一种新的基于相邻时隙平均功率控制的功率控制算法,通过对不同发射天线的连续时隙功率的综合控制达到提高系统发射功率利用率的目的,将发射功率的变化反映到天线发射端数据速率的变化,提高了系统的频谱利用率,从而提高了系统的性能。文章提出的速率分阶的方法,为多输入多输出无线通信系统提供了一种可行的自适应调制方法。仿真结果表明,采用相邻时隙平均功率控制算法不仅可以提高系统的发射功率利用率的10％,而且能够改善系统性能0．5dB左右。     

OFDM系统中的一种新的比特功率分配算法

针对自适应OFDM系统中满足用户QoS(这里主要指用户带宽及误码率这两个指标)要求的比特功率分配这一问题,提出了一种新的算法,该算法以每次比特分配时,使得每比特(一次可分配多比特信息)的功率代价最小为原则,获得了良好的性能,仿真结果表明,该算法在满足用户QoS要求的情况下,其发射总功率比现有的同类算法小,性能更佳。摘要     

MC-CDMA系统中的自适应比特和功率分配算法

在研究MC-CDMA系统和自适应比特分配技术的基础上,提出了一种适合MC-CDMA系统的自适应比特和功率分配算法。本算法以扩频支路为单位,根据系统中各子载波的不同信道增益,动态地分配数据比特和发射功率。仿真结果表明,使用该算法可以大大减小发射功率,提高系统性能。     

OFDM系统中的自适应比特功率分配算法

正交频分复用(OFDM)系统各子信道具有不同的衰落特性,如果采用相同的调制方式,则不能更好地利用系统资源。在系统容量受限和误比特率一定的条件下,文章提出了一种高效的OFDM自适应比特功率分配算法。在要求误比特率BER<10-3时,该算法与Chow算法相比,发射总功率减小了2.5 dB;与Hughes-Hartogs算法相比,系统消耗的总时间也明显缩短。仿真结果验证了算法的有效性。     

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.     

编码协作系统的一种功率分配算法

针对编码协作系统中源节点和中继节点只根据协作程度分配功率导致系统资源利用率较低的问题,提出了一种使用码率兼容删除卷积码(RCPC)编码的协作系统次优功率分配算法。该算法依据协作程度和信道状态信息推导出了目的节点误比特率的上限表达式,降低了该误比特率上限,得到了功率分配的次优解,从而提高了系统的资源利用率,且实现复杂度较低。仿真结果表明理论误比特率上限是一条紧界,提出的自适应功率分配(APA)算法与只考虑协作程度的平均功率分配(EPA)算法相比,在误比特率为10-2时最大可提供约4dB的信噪比增益。     

Suboptimal resource allocation with MMSE detector for grouped MC-CDMA systems

This article puts forward two novel user-grouping algorithms for grouped multi-carrier （MC）-code division multiple access （CDMA） systems. As is well known, the adaptive assignment for user-grouping plays an important role for link quality of multi-access transmissions. In the study, the capacity-maximizing problem of user-grouping is formulated. By using the Kuhn-Tucker condition, the optimal criterion is deduced and found to have a similar form with signal to noise plus interference （SINR）. However SINR includes the signal power that can only be determined after user-grouping. Therefore the optimal criterion will lead to an impractical application. To deal with it, the user＇s equivalent SINR for minimum mean square error （MMSE） detector is proposed and served as a suboptimal assignment criterion, based on which two kinds of user-grouping algorithms are proposed. In the algorithms, only partial channel information is needed at the base station, which saves a large part of the bandwidth occupied by feedback information. Computer simulations have evaluated an excellent performance of the proposed algorithms at both link quality and data rate. Meanwhile, the proposed algorithms have lower implementation complexity for practical reality.     

垂直分层空时码系统信号检测算法的研究

主要介绍了基于多输入多输出（MIMO）传输方式的垂直分层空时码系统（V—BLAST）空时码系统的检测算法,并把它与传统的MIMO信号检测算法进行了分析和比较,仿真得出相关结论。     

改进蛙跳算法的多中继协作系统最优功率分配

协作通信与直接通信相比能够显著地提高系统性能,功率分配是协作通信中的一个关键问题。为了获得合理的协作中继通信系统功率分配方案,提出一种基于改进蛙跳算法的多中继节点功率分配方法。首先对功率分配问题进行分析,将其转换为一个非线性优化问题,然后将青蛙表示为源节点,中继节点的功率,以平均信噪比作为青蛙的食物,并通过青蛙的信息交流和协作找到最优的功率分配方案,最后采用仿真对比实验对本文算法性能进行测试。仿真结果表明,相对于其它功率分配方法,改进蛙跳算法有效地提高了系统的信道容量,降低了中断概率,以较低的复杂度提高了系统的性能。     

基于迫零检测的异步V-BLAST最优发射功率分配

由于异步发射V-BLAST各路子流的符号在时间上未对齐,同步V-BLAST所采用的逐符号功率分配方法不再适用。针对这个问题,该文提出了一种以块平均误比特率为优化目标,逐符号块进行功率分配的方法。该方法首先计算每个符号的瞬时信噪比,然后求出异步符号块的平均误比特率,最后求解优化问题得到各天线的最优发射功率值。平坦瑞利衰落信道下的仿真表明：两发两收、BPSK调制、迫零检测的异步V-BLAST,误比特率为10-3时最优功率分配有2dB的性能改善。     

Highly reliable access algorithm for PD-NOMA based IoT with delay guarantee

A single-hop PD-NOMA network supporting k-successive interference cancellation (k-SIC) was considered.Given the real-time performance requirements,how to maximize the average reliability of uplink transmissions by the joint users grouping and power allocation was studied.A heuristic algorithm with complexity of O(nlogn) was presented,where n was the number of users.The algorithm was also proved to be the optimal if k=2.The performance evaluations reveal that the transmission reliability will increase exponentially with the linear degradation of the real-time performance guarantee.Besides,the transmission reliability is enhanced with respect to the random users grouping algorithm.     

Resource scheduling scheme for 5G mmWave CP-OFDM based wireless networks with delay and power allocation optimizations

In this paper, to optimize the average delay and power allocation (PA) for system users, we propose a resource scheduling scheme for wireless networks based on Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) according to the first fifth-generation standards. For delay minimization, we solve a throughput maximization problem that considers CP-OFDM systems with carrier aggregation (CA). Regarding PA, we consider an approach that involves maximizing goodput using an effective signal-to-noise ratio. An algorithm for jointly solving delay minimization through computation of required user rates and optimizing the power allocated to users is proposed to compose the resource allocation approach. In wireless network simulations, we consider a scenario with the following capabilities: CA, 256-Quadrature Amplitude Modulation, millimeter waves above 6 GHz, and a radio frame structure with 120 KHz spacing between the subcarriers. The performance of the proposed resource allocation algorithm is evaluated and compared with those of other algorithms from the literature using computational simulations in terms of various Quality of Service parameters, such as the throughput, delay, fairness index, and loss rate.     

Resource allocation based on genetic algorithm for multi-hop OFDM system with non-regenerative relaying

This article investigates resource allocation in multi-hop orthogonal frequency division multiplexing (OFDM) system with amplifying-and-forwarding relaying to maximize the end-to-end capacity. Most existing methods for multi-hop system focus on power allocation or subcarrier selection separately, but joint resource allocation is rarely considered due to the absence of effective interaction schemes. In this work, a novel joint resource allocation methodology is proposed based on Partheno genetic algorithm (PGA), which produces excellent subcarrier allocation set (referred to as individual in PGA) with higher capacity by evolution operator generation by generation. In addition, an adaptive power allocation is also designed to evaluate the fitness of PGA and further enhance the system capacity. Both theoretical analysis and simulated results show the effectiveness of the proposed joint strategy. It outperforms the traditional method by as much as 40% capacity improvement for 3-hop relaying system when system power is high, and obtains much more capacity enhancement percent under conditions of low system power.