多输入多输出天线蜂窝系统中的分布式功率控制方法

在蜂窝无线通信系统设计中,基于信号干扰比(SIR)测量的功率控制方法得到广泛的应用。该文提出多输入多输出(MIMO)天线蜂窝系统中的基于SIR测量的分布式功率控制(DPC)方法。该方法通过控制移动台或者基站的发射功率可以达到以下两个目标的其中之一:(1)最小化所有基站或者移动台的平均接收SIR中断概率;(2)在满足目标SIR要求的前提下最小化平均发射功率。数值仿真结果显示,该文提出的DPC方法在低的计算复杂度下,可以达到降低SIR中断概率和减小发射功率的目的。     

WCDMA系统功率控制策略中的内环SIR测量

功率控制是使CDMA系统容量最大化的关键技术之一.在IMT-2000指定的宽带码分多址接入(WCDMA)系统中,实现高精度的快速闭环功率控制的基础是内环SIR的精确测量.由此,基于3GPP协议,本文提出了一种新的易实现模块化的内环SIR测量的方法,在原理和性能上与Shunsuke所提SIR的测量方法进行了比较,通过仿真证明了新方法测量性能的优越性,并给出了基于业务质量的快速闭环功率控制的性能.     

一种HSPA系统UE端SIR估计算法优化方案

在HSPA系统中，实现高精度的快速闭环功率控制的基础是信干比（SIR）的精确测量。本文在对Shunsuke所提SIR估计算法性能分析的基础上提出了几种优化方案，并通过仿真进行了性能分析，结果表明优化方案不仅对原算法的抖动性有了很好的改善，而且能够明显的加快收敛速度。     

认知无线电系统中一种新的自适应功率控制算法

本文针对认知无线电系统中的远近不公平性,提出将信道增益因子引入到基于信干比（SIR）的分布式非合作博弈功率控制算法中,并证明了其纳什均衡的存在性及唯一性。同时在此算法的基础上,针对部分用户的SIR不能满足下限阀值的情况,设计了一种新的自适应加权系数以控制发射功率,满足不同用户的输出SIR需求。仿真结果表明,与其它的分布式功率控制算法相比,该算法不仅有效地解决了远近不公平现象,满足了认知用户公平共享频谱资源的需求,同时使认知用户的SIR能同时满足上下限阀值的要求,且具有快速收敛的特性。      

DS-CDMA系统中结合多用户检测的功率控制研究

功率控制和多用户检测是CDMA移动通信中克服远近效应,抑制多址干扰(MAI)的两项关键技术。该文提出了一种在DS-CDMA系统中综合考虑功率控制和多用户检测的方案。该方案能更加有效地消除干扰信号,同时在满足信干比(SIR)要求时,所有用户发射总功率最小,收敛速度最快。     

自适应RBF神经网络在CDMA移动通信上行链路功率控制中的应用研究

提出了一种自适应RBF神经网络功率控制方案。详细研究了该网络在DS-CDMA通信中，进行上行链路闭环功率控制(基于信扰比(SIR))的应用理论，给出了该网络参数的计算方法。最后用计算机仿真法模拟出该控制器的运行性能。结果表明基于SIR的自适应RBF神经网络功率控制器能自适应地调整移动台的发射功率，使基站接收信号的信扰比始终非常接近于一个常数，且有比定步长功率控制更小的SIR跟踪误差，从而可以降低接收信号的中断概率、提高信道容量。     

基于SIR平衡的WCDMA功率速率联合控制

在适用于衰落信道下的功率速率联合控制方案中,功率控制优先于速率控制。仿真并分析了WCDMA上行链路在该控制方案下的性能,仿真结果显示我们提出的基于SIR平衡的功率速率联合控制方案使系统有很好的频谱效率并长时间保持数据速率为一个恒定值。相对固定速率可变功率的传输方式,使系统所需信干比E_b/I_o降低1-2dB,同时避免大块突发错误的产生,降低了交织深度。     

微带SIR电容间隙耦合带通滤波器的设计

本文提出了一种新的基于SIR谐振器的微带电容间隙耦合(Capacitive-Gap-Coupled,CGC)带通滤波器结构。首先根据滤波器的低通原型设计、计算了滤波器的参数,并使用微波CAD软件对设计的尺寸进行了优化、仿真。仿真结果表明该类型滤波器的频带响应具有优良的频带响应,二阶谐波通带的中心频率和理论计算一致,通过调整SIR谐振器的阻抗比可以控制二阶谐波中心频率的位置。     

CDMA功率控制研究中目标SIR设置的上限

基于SIR平衡的功率控制可能存在正反馈的问题,从而使得系统不稳定.讨论了在加性高斯白噪声及Rayleigh衰落信道下,CDMA上行链路闭环功率控制系统的SIR上限问题.通过折衷考虑系统的容量与QoS要求,可以确定临界稳定时的目标SIR上限,在设计功率控制算法时,目标SIR只有满足上限要求,才能确保CDMA系统稳定.     

基于信干比的认知无线电自适应功率控制算法

该文以空时编码(STBC) MC-CDMA网络系统为认知无线电通信平台,将一种基于SIR的非合作功率控制博弈算法应用于该认知无线电系统,并根据用户的SIR需求差异,对算法改进设计出新的自适应功率控制博弈算法(CR-NCPCG)。仿真结果表明CR-NCPCG算法以不同用户SIR需求为前提,通过不同用户功率的有效控制,实现了用户公平共享频谱资源的需求。     

Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm

Based on the non-cooperative power control game introduced by David Goodman, in this paper, we will introduce the concept of target SIR, modify the utility function, and propose a modified power control game algorithm. In this proposed power control game algorithm, it will be proved that the Nash equilibrium exists and is unique. To further improve the accuracy of the solution, the Shuffled Frog Leaping Algorithm (SFLA) will be modified and adopted by incorporating the basic ideas of Artificial Fish (AF). It can be shown that the proposed algorithm will have better global convergence and will have less possibility to be tripped in local optimum. Simulation results show that the proposed power control algorithm based on modified Shuffled Frog Leaping Algorithm (MSFLA) can not only increases the controllability on the target SIR but also reduces the user transmission power and improves system performance.     

Utility-based power control with QoS support

This paper addresses the issue of incorporating QoS requirements expressed in terms of some minimum SIR targets into the traditional utility-based power control problem. As suitable projection methods seem to be not amenable to distributed implementation, we first focus on a primal-dual algorithm to solve the utility-based power control problem subject to the SIR requirements. We prove a global convergence of the algorithm for a large class of utility functions and show that it can be implemented in a distributed wireless environment. However, the approach has an important drawback: An optimal solution may not exist as the SIR targets may be infeasible due to, for instance, channel effects. This motivates a reformulation of the problem so that an optimal solution always exists. We consider the possibility of using a barrier method to closely approach the desired SIRs of the users and combine this approach with the conventional utility-based power control problem to incorporate best effort users. We prove relevant properties of optimal solutions and propose a distributed recursive algorithm with global convergence. Finally, the performance of the proposed approaches is verified by simulations.     

一种新型的基于信干比预测的上行链路功率控制算法

针对TD-SCDMA系统的上行链路,本文提出了一种新型的基于信干比预测的内环功率控制算法。利用自适应滤波器输入信号的正交分量作为权向量的调整方向,根据前几帧和当前帧测得的信干比对下一帧信干比进行预测,基站依据预测的结果对发射功率进行控制。仿真结果表明:与传统功率控制方法相比,该方法控制精度高,实现简单,收敛速度快。     

Analysis of a class of distributed asynchronous power controlalgorithms for cellular wireless systems

In cellular wireless communication systems, uplink power control is needed to provide each mobile user with an acceptable signal to interference ratio (SIR) while simultaneously minimizing transmit power levels. We consider a class of distributed asynchronous power control algorithms based on the schemes used in IS-95 inner loop power control. Each user's received SIR is measured (using possibly outdated information) and compared to a threshold, and a single control bit is then sent to the user, indicating whether its power level should be increased or decreased. The SIR measurements and power updates do not require synchronization. We show that under certain conditions, this class of algorithms is stable and converges to a region around the optimal power assignment. We characterize this region and show that it can be made as small as desired by choosing the algorithm parameters appropriately. For an appropriate choice of algorithm parameters, we show that convergence occurs in a finite number of iterations and derive an upper bound. To illustrate our general results, we apply them to systems with fixed base station assignment, dynamic base station assignment, and macrodiversity. Finally, we give an example to illustrate the algorithm's robustness to errors in the power control commands     

On the convergence of fixed-step power control algorithms withbinary feedback for mobile communication systems

The mobile transmitter power control algorithms that need to exchange the tract information on link gains, interference levels, or signal-to-interference ratio (SIR) between transmitters and receivers have been proved to converge to a unique fixed power allocation. However, such exact exchange requires an excessive bandwidth for signalling traffic. In practical systems, only 1 bit is sent back to each transmitter. The 0-1 binary feedback is used by the transmitter either to increase or to decrease the power level by a predetermined amount. In this study, we prove a convergence property of the binary feedback power control algorithm. Since the power level of each transmitter is changed by a fixed amount at every iteration, we cannot claim that the power converges to a fixed point. Instead, we show that the received SIR of each user falls within a certain specific range that is determined by an SIR target and a power control step-size     

Uplink power control for TDMA portable radio channels

Power control based on signal-to-interference ratio (SIR) has been proposed as a technique for managing co-channel interference in frequency reuse radio systems. Recently, new autonomous power control methods were introduced to achieve near-optimum performance without difficult centralized control proposed earlier. The achievable performance from preliminary studies appears promising for providing significant increase in spectrum efficiency. However, the implementation of the SIR-based power control algorithms remains challenging. In this paper, implementation of power control that indirectly depends on SIR is discussed. As an example, a simple closed-loop power control algorithm for the portable transmitter is introduced for TDMA portable radio systems. While it may appear specific for the system considered, the underlying principle and parameters required (i.e., error indicator, received power level, and signal quality indicator) are common to the implementation of digital demodulation circuitry. Computer simulations indicate that SIR level is maintained at a level suitable for sustaining desirable performance. Furthermore, when the power-control updating period is short, as in the specific system considered, moderate-rate short-term fading can be tracked and mitigated     

快速Lagrange算法在双速率多用户检测器的功率控制中的应用研究

本文提出了一种快速Lagrange算法,并将它应用于宽带码分多址扩频通信双速率多用户检测器的功率控制中,从而使系统在达到不同的信扰比的条件下,各个用户的发送功率之和最小。本文分析了用该算法对双速率多用户检测器进行最小发送功率控制的基本理论和实际性能,探讨了该算法中相关参数的确定方法。该算法利用平均和反馈技术加快了Lagrange算法的收敛速度,因此有较好的实时性。仿真结果表明与快速随机功率控制算法相比,快速Lagrange功率控制算法可以提高双速率多用户检测器输出信号的平均信扰比,降低信扰比的平均偏差,提高达到信扰比要求的用户数量。     

用于WCDMA系统的MMSE接收机的功率与数据速率相结合的分配算法

该文针对3GPP WCDMA系统的反向链路,提出了一种基于MMSE接收机的功率和数据速率相结合的控制算法。该算法可以保证用户在达到目标信干比的同时,减小平均发射功率、加快收敛速度,从而提高系统的整体性能。仿真结果验证了所提出方案的正确性和优化算法的有效性。采用该文提出的算法,与MMSE功率控制算法比较,系统容量可增加近10％,而收敛速度可提高30％左右。     

认知无线电中基于多次博弈的功率控制算法

基于博弈论对认知无线电网络中的功率控制问题进行了建模分析,提出了一种基于多次博弈的功率控制算法,证明了该算法中纳什均衡的存在性和惟一性。仿真结果表明,基于该博弈模型的功率控制算法收敛性比传统算法好,经过7次左右迭代即可收敛,满足系统实时性要求,同时又能够以较低的功率水平满足不同用户对信干比的要求,实现了对不同用户发射功率的有效控制,系统性能明显提高。