E-UTRA中一种联合AMC的功率分配新算法

为进一步减少功率浪费,提高系统吞吐量,结合E-UTRA系统中自适应调制编码(AMC)技术,提出了一种联合AMC的降阶迭代功率分配算法。使用传统注水算法对用户进行首次功率分配,然后对超过支持最高调制编码方式所需功率的用户,削减分配功率到支持最高调制编码方式所需的功率,并将多出来的功率通过降阶迭代方式分配给其他用户,以使尽可能多的用户达到更高的调制编码方式。仿真结果表明,该算法能在较少迭代次数的情况下,取得较高的系统吞吐量。     

OFDM系统中自适应调制和功率分配方案

为了提高Ka频段正交频分复用(OFDM)系统的频谱效率,提出了一种子带自适应调制和功率分配算法。该算法在目标误比特率下首先通过等功率分配确定各子带的初始信噪比大小和调制方式,并根据子带信噪比和调制方式的关系,迭代运算出最优的有效子带个数、调制方案和功率分配的比例关系。仿真结果表明,该算法提高了系统中低信噪比下的频谱效率。     

红外无线系统的变步长自适应功率分配算法

红外无线通信系统中,为了在功率和误码率一定的限制下进一步提高系统容量,提出了一种新的变步长自适应功率分配算法,该算法以每比特分配功率的代价最小为原则(一次可分配多个比特)来选择最佳的调制技术.分析了其速度原理,并在建立模型的基础上,通过仿真研究了新算法的系统性能,并与理想注水算法以及传统的简单速率量化算法进行比较.仿真...     

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.     

多模光纤通信中的自适应功率分配光OFDM技术

为了解决多模光纤(MMF)通信系统中的自适应调制光正交频分复用(AMO-OFDM)技术存在的算法复杂度、自适应调制方案的具体硬件实现难度大等问题,本文提出了一种自适应功率分配光正交频分复用(APAO-OFDM)技术,并给出了一种高效的自适应功率分配算法.仿真结果表明,等信噪比(SNR)功率分配方式的APAO-OFDM技术能够获得与AMO-OFDM技术相近的最大传输速率性能,当最大传输速率低于14 Gbit/s时两者需要的发射光功率几乎相等.     

MIMO-OFDM系统中的比特和功率联合分配算法

针对MIMO-OFDM系统,该文首先提出一种实用的最优比特和功率联合分配算法;其次为简化实现,设计了一种简化的等功率自适应调制选择算法。仿真表明,提出的联合分配算法不但可以获得最优的性能,而且具有较低的复杂度。简化的次优等功率分配算法极大地降低了算法复杂度,而性能只略低于最优等功率分配算法。     

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。     

基于OFDM的认知无线电功率分配方法研究

针对认知无线电(Cognitive Radio,CR)需要提高频谱利用率,而正交频分复用(Orthogonal FrequencyDivision Multiplexing,OFDM)技术系统中针对子载波的功率分配算法计算复杂度高的缺点,对认知无线电中的频谱资源和功率分配方法进行了研究。提出了一种将整个信道分为多个子载波块进行功率分配的算法,该算法结合频谱检测和信道估计的结果,选取可用的通信频段并采用注水算法为每一个子载波段分配功率,并通过自适应调制实现吞吐量最大化。仿真结果表明,该算法可以有效提高频谱利用效率。     

OFDM自适应算法在煤矿井下的应用研究

根据煤矿井下无线通信特性,建立了服从瑞利分布的具有频率选择性衰落的信道模型,研究了动态改变传输比特与功率分配的自适应正交频分复用(OFDM)算法.仿真结果表明:自适应比特与功率分配算法的误码率性能明显好于固定调制;多输入多输出(MIMO)技术的误码率明显好于单输入单输出(SISO)技术.     

OFDM自适应子载波功率分配算法

利用误比特率优化的自适应子载波功率分配算法,对发射功率进行合理分配,能够有效地提高正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统的频谱效率,但对各子载波采用正交幅度调制(QAM)的OFDM系统,该算法的求解却相当困难。本文研究了一种次优的功率分配算法,利用误差函数(Q函数)的近似值对其进行逼近,从而有效降低了求解难度。通过MATLAB仿真验证了次优分配算法优异的误比特率性能,仿真结果表明,该逼近算法能够很好地解决最优功率分配算法的复杂度问题。     

实现不等错误保护的最小发射功率AM-OFDM系统

 本文提出了在OFDM系统中实现数据不等错误保护传输的最小发射功率自适应调制算法.利用OFDM系统各个子载波功率增益不相同的特点,将子载波分组,不同的子载波组满足不同的传输质量和传输速率要求,传输不同重要性的数据,并且通过自适应调制调整每个子载波的发射功率和调制阶数,在实现数据不等错误保护传输的同时使得系统消耗的总发射功率最小.仿真结果表明,该算法能够根据输入数据的QoS要求,为不同重要性的数据提供不同的传输质量,并在保证传输质量和速率要求的前提下,使系统的总发射功率最小.     

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     

MIMO空间复用系统的最小BER比特分配

该文基于最小误比特率(BER)准则,提出了多输入多输出(MIMO)空间复用系统的贪婪比特分配算法和基于二分法的比特分配算法。在总比特速率和每个发射天线分配相等功率的约束条件下,通过比特分配优化每个发射天线的调制方式,改善了系统的BER性能。仿真结果表明,与传统的MIMO系统相比,比特分配的MIMO系统可获得显著的信噪比(SNR)增益;与功率分配相比,比特分配在性能损失很小的情况下减少了每个发射天线的功率放大器的动态范围。     

Peak power and bandwidth efficient linear modulation

In portable wireless communication systems, power consumption is of major concern. Traditional modulation and coding schemes have been designed from the standpoint of minimizing average power. However, for linear power amplifiers needed for spectrally efficient modulation formats, amplifier efficiency and hence power consumption are determined by the peak power of the transmitted signal. This paper looks into modulation formats which minimize peak power and retain high spectral efficiency. Peak power is broken into a sum (in terms of decibels) of average power and a peak-to-average power ratio, and a variety of modulation formats are evaluated in terms of peak power efficiency in both a Gaussian noise and Rayleigh fading channel. A generalized phase shift keying (PSK) modulation format is developed and shown to offer superior peak power efficiency relative to that of commonly used linear modulation formats. Two schemes are presented for reducing the peak-to-average power ratio of various modulation formats. First, data translation codes are used to avoid data sequences which cause large peaks in the transmitted signal. This approach was found to be most productive in quadrature amplitude modulation (QAM) formats. Finally, an adaptive peak suppression algorithm is presented which further reduces the peak-to-average power ratios of the PSK and generalized PSK formats. The peak suppression algorithm is also applicable to π/4-QPSK and was found to improve peak power efficiency of that format by about 1.25 dB over a Rayleigh fading channel     

Joint Power and Rate Control Combined with Adaptive Modulation in Cognitive Radio Networks

Efficient resource allocation is a major challenge in cognitive radio networks, especially when Cognitive Users (CUs) share the same frequency band with the Primary User. In this paper, we consider minimizing the total power consumption by combining power control, rate control and adaptive modulation. We analyze the existence, uniqueness and Pareto optimality of Nash Equilibrium (NE) in the power control game, and propose an iterative algorithm to find the NE followed by the adjustment of both the transmission rate and modulation scheme based on the convergent power. If compared with previous works, the key feature of the proposed strategy is that each CU can prolong its battery life in energy-constrained networks to support heterogenous services with different transmission rates and modulation schemes requirements. Simulation results are provided to confirm the effectiveness of the proposed method in power saving, improvement of both the transmission rate and the spectral efficiency and the simplicity of implementation.     

Subcarrier and power allocation algorithm based on inter-cell interference mitigation for OFDMA system

This article proposes a dynamic subcarrier and power allocation algorithm for multicell orthogonal frequency division multiple access (OFDMA) downlink system, based on inter-cell interference (ICI) mitigation. Different from other ICI mitigation schemes, which pay little attention to power allocation in the system, the proposed algorithm assigns channels to each user, based on proportional-fair (PF) scheduling and ICI coordination, whereas allocating power is based on link gain distribution and the loading bit based on adaptive modulation and coding (AMC) in base transceiver station (BTS). Simulation results show that the algorithm yields better performance for data services under fast fading.     

Integrated link adaptation and power control to improve error and throughput performance in broadband wireless packet networks

In this paper, we prove that the problem of maximizing data throughput by adaptive modulation and power control while meeting packet error requirements is NP-complete. A heuristic algorithm for integrated link adaptation and power control is, thus, proposed to achieve specified error rates and to improve overall throughput for real-time applications in broadband wireless packet networks. The algorithm divides terminals into groups according to their signal path gains and periodically adapts transmissions based on the required error rates, actual error statistics, and average transmission power of each terminal group. Transmission power is adjusted by an enhanced Kalman-filter method to ensure successful reception. Extensive simulation results reveal that the algorithm consistently delivers the specified error performance and attempts to maximize network throughput for a wide range of parameter settings.     

Power allocation for OFDM using adaptive beamforming over wireless networks

The performance of a multiuser wireless network using orthogonal frequency-division modulation (OFDM), combined with power control and adaptive beamforming for uplink transmission is presented here. A network-wide adaptive power control algorithm is used to achieve the desired signal-to-interference-and-noise-ratio at each OFDM subcarrier and increase the power efficiency of the network. As a result, we can achieve a better overall error probability for a fixed total transmit power. With the assumption of fixed-modulation for all subcarriers, transmit powers and beamforming weight vectors at each subcarrier are updated jointly, using an iterative algorithm that converges to the optimal solution for the entire network. Unlike most of the loading algorithms, this approach considers fixed bit allocation and optimizes the power allocation and reduces the interference for the entire network, rather than a single transmitter. We also propose joint time-domain beamforming and power control to reduce the complexity resulting from the number of beamformers and fast Fourier transformed blocks. The proposed algorithm is also extended to COFDM and we show that it improves the performance of those systems.     

Monitoring Data Management Information System for Securities Market

The quadrature amplitude modulation (QAM) is the basic technology on high speed broadband communication physical level symbol mapping. Systems requiring lower signal to noise ratio to achieve the same error probability are more power-efficient. The usage of high order modulation is limited due to its low power efficiency compared to lower order modulation. This paper combines the characteristics of Gray code symbol mapping for QAM constellation to design a soft decision algorithm based on signal diversity (div-log-MAP). The bottle-neck of the low power efficiency is overcome and highest power efficiency can be realized. The performance of div-log-MAP can beyond the performance of log maximum a posteriori probability algorithm. At the same time, the proposed algorithm is a more effective method to utilize high order QAM modulation on high speed broadband communication.