基于干扰和功率控制的多小区分布式波束成形

在多小区干扰信道中,基于分布式竞争设计,提出两种优化基站发射波束成形矩阵的设计,使每个小区的最差信干噪比最大.一种是基于干扰控制的设计,利用差异化的干扰系数,抑制小区间的干扰,提高系统性能.另一种是基于功率控制的设计,通过调整各基站的发射功率,提高系统性能.这两种设计,都能保持算法的分布式特性,又能有效地提高用户信干噪比.仿真分析表明,基于功率控制的设计在功率大的情况下,性能优于基于干扰控制的设计.     

一种基于内惩罚函数的多小区波束成形算法

本文提出一种利用惩罚函数的分布式波束成形迭代算法,该算法利用当效用函数的梯度为零时的局部最大值的性质。建议算法的收敛性已被证明。仿真结果表明,对比传统算法,建议算法在抑制小区内和小区间干扰方面具有较好的性能,特别是当用户数增加时建议算法具有更高的速率。     

分布式目标下行波束形成

研究了智能天线在下行链路的应用。利用上行链路接收数据,建立分布式目标信道模型。估计移动用户的发射角、扩展角度和发射功率以及下行信道相关矩阵,确定下行链路的波束形成方法。即对频分复用（FDD）系统进行上行相关矩阵变换,构建下行信道协方差矩阵,利用最大合并比准则获得下行链路权值。计算机仿真证实了这种方法的有效性。     

阵列天线波束成形技术在宽带CDMA下行链路中的应用

本文利用自适应天线阵列上行链路信号到达角估计信息,并结合导频辅助下行链路信道矩阵估计值,在前人提出的具有反馈特性的自适应发送阵列原理基础上,提出一种简单可行的宽带CDMA下行链路天线阵列波束成形权重计算方法,并进一步分析了到达角估计误差和信道信息反馈时延对权重计算的影响,最后给出系统误码率性能的计算机仿真结果。     

多小区蜂窝网络波束成形优化策略

为了克服多小区的邻小区干扰问题,该文在多小区蜂窝网络中,研究了多小区多用户下行协同传输技术。该文提出一种联合优化基站和中继的波束成形权重的迭代算法,在基站和中继总功率限制下最大化最差用户接收信干噪比(Signal-to-Interference-and-Noise Ratio, SINR)。该文提出的联合优化波束成形策略,可以应用半正定松弛技术(Semi-Definite Relaxation, SDR)得到有效的解决。仿真表明,在多小区通信系统中,该文提出的迭代算法只需要少量的迭代次数就可以达到近似最优性能,并且在性能和资源消耗之间给出一种折中的传输策略。     

窃听信道下认知多小区中的协同波束赋形算法

小区之间优化变量耦合使多小区联合优化问题为非线性非凸问题,通过约束泄露干扰提出了基于半正定松弛的中心式协同波束成形算法,在此基础上,采用部分对偶分解方法将中心式联合优化问题分解为一组单小区优化问题,提出了一种分布式迭代求解算法。结果表明,所提算法在保证系统安全速率需求和认知干扰约束的条件下实现了系统功耗的降低,此外,分布式算法不仅能降低实现复杂度,而且能达到中心式算法的性能。     

中继辅助MIMO系统中基于有限反馈的分布式波束成形

对协作式中继辅助的多输入多输出通信系统中基于有限反馈的联合波束成形问题进行了研究.首先推导了接收信噪比的下界,并基于该下界建立联合波束成形的数学模型.其次推导了分布式波束成形的最优方案.最后针对该最优方案,设计了一个迭代算法,优化得到分布式波束成形码本,从而分布式中继站的波束成形可基于码本序号的有限反馈来进行.实验结果仿真表明,所设计的联合波束成形码本在反馈开销很小的情况下获得明显的性能增益.     

基于博弈论的多基站协作波束成形

为抑制小区间干扰,提出了一种基于博弈论的多基站协作波束成形算法,并将该算法应用于多基站协作通信系统模型。该算法是在已知其他小区策略选择的情况下,最大化自身利益的迭代算法。在此基础上研究了将最大化用户速率问题转化为效用函数优化问题进行求解,然后证明其纳什均衡的存在性和唯一性,最后给出求解纳什均衡的步骤。仿真结果表明,相对于非协作算法,所提算法在期望用户方向上保持较高的增益,同时有效地零陷干扰用户,达到抑制小区间干扰的目的,并且具有很好的收敛性。     

多小区大规模协同功率分配及波束成形算法

针对大规模多输入单输出的多点协作下行系统,本文主要研究协同波束成形和功率控制,以达到最大化最差用户信干噪比的目的。为了求解原始下行的非凸优化问题,首先将原始优化问题转化成等价的上行优化问题进行求解。尽管在有限系统里可通过迭代算法获得波束矢量和发射功率,但是该算法依赖于瞬时信道信息,功率也需要瞬时更新。为了减少功率更新计算复杂度,本文进一步利用随机矩阵理论,提出了只需要依赖统计信道信息的算法来获得发射功率。数值仿真验证了单基站功率约束下所提算法的有效性以及相对于最大比发送算法的优越性。      

协作式中继增强MIMO通信系统的联合波束成形

本文对协作式中继辅助的多输入多输出(Multiple-input Muhiple-output,MIMO)通信中的联合波束成形问题进行了研究.首先推导了接收信噪比的下界,并基于该下界建立了联合波束成形的数学模型;然后推导了分布式波束成形的最优方案;最后设计了联合优化信源的多天线波束成形和协作式中继的分布式波束成形的算法,从而获得联合波束成形方案.计算机实验仿真表明所提联合波束成形方案获得明显的性能增益.     

Distributed energy efficient beamforming algorithm for multicell multiuser downlink system

A distributed energy efficient beamforming algorithm was studied for multicell multiuser downlink communication system.Firstly,the energy efficient optimization problem was first considered as the maximization of the ratio between the system sum rate and the system power consumption.The fractional programming optimization target was then transformed into a subtractive form via using the fractional programming theorem.Secondly,the problem was decomposed into some subproblems that can be solved respectively by introducing the concept of the interference temperature in cognitive radio networks.Finally,an effective distributed energy efficient beamforming algorithm was proposed by exploiting the Lagrangian duality theorem and optimization theorem.Compared to the classical energy efficient optimization algorithm,the proposed algorithm can achieve an obvious energy efficiency performance gain.     

Robust beamforming for multicell downlink TDD massive MIMO system based on QoS

In view of multicell downlink time division multiplexing (TDD) massive multiple-input multiple-output (MIMO) systems which had imperfect channel state information (CSI),the beamforming problem that minimized the total transmit power and signal leakage power based on quality of service (QoS) was studied.First,the objective problem was approximated as a standard convex optimization problem.Then,by using the duality of uplink and downlink,an inner and outer layer iterative algorithm was proposed.Numerical results show that,comparing with other typical downlink multicell massive MIMO beamforming algorithms,the proposed algorithm has obvious advantages in terms of complexity and energy efficiency.     

基于信道相关统计及有限反馈的多基站协作波束成型

为减少多基站协作波束成形系统中基站间的信息交换量和用户信道信息反馈量,提出一种基站联合利用有限反馈信道参数和信道空间相关矩阵估计信道矢量函数的方法;基于所估计的信道矢量函数,提出一种多基站协作扩展迫零波束成形算法。相比已有的多基站协作波束成形方案,所提算法能在反馈/回程开销和系统性能之间取得更合理的折中,计算仿真验证了所提算法的有效性。     

A downlink beamforming assisted by locally positioned communication devices

Recently, multiple cell types with overlapping coverage have been deployed simultaneously to increase cellular network capacity. Cross‐tier interference is one of the key technical challenges in the use of this method. A simple and practical beamforming scheme assisted by locally positioned communication devices for the downlink of a multi‐cell wireless hierarchical cell structure system is proposed in this paper to maximize the capacity of the embedded small cell and simultaneously ensure minimal impact on the performance of existing macrocells. The locally positioned communication devices can be implemented with low complexity and at low cost and can continuously provide helpful and accurate information to base stations for the proper configuration of geographical cell coverage, allowing neighboring cells to cooperate effectively with each other. Simulation results verify that the proposed scheme can provide a significant gain over conventional systems not using the proposed algorithm. Copyright © 2013 John Wiley & Sons, Ltd.     

Distributed beamforming with one-bit feedback and clustering for multi-node wireless energy transfer

To resolve energy depletion issues in massive Internet of Things sensor networks, we developed a set of distributed energy beamforming methods with one-bit feedback and clustering for multi-node wireless energy transfer, where multiple single-antenna distributed energy transmitters (Txs) transfer their energy to multiple nodes wirelessly. Unlike previous works focusing on distributed information beamforming using a single energy receiver (Rx) node, we developed a distributed energy beamforming method for multiple Rx nodes. Additionally, we propose two clustering methods in which each Tx node chooses a suitable Rx node. Furthermore, we propose a fast distributed beamforming method based on Tx sub-clustering. Through computer simulations, we demonstrate that the proposed distributed beamforming method makes it possible to transfer wireless energy to massive numbers of sensors effectively and rapidly with small implementation complexity. We also analyze the energy harvesting outage probability of the proposed beamforming method, which provides insights into the design of wireless energy transfer networks with distributed beamforming.     

多小区系统中基于信漏噪比最大化的分布式协作预编码

为了能够减少多小区基站协作时的回传开销和预编码复杂度,研究了基于信漏噪比(SLNR)最大化准则的协作多小区传输分布式预编码算法。多个小区协作传输数据,仅仅需要局部的信道状态信息和用户的数据信息,减少了无线回传开销,得到基站协作带来的性能提高。仿真表明,与协作多小区传输的迫零(ZF)算法和协作单小区传输的SLNR算法相比,协作多小区传输SLNR预编码在开销和性能之间取得了良好的折衷。     

A single transmission selection scheme for downlink distributed antenna system in multicell environment

In this paper, based on maximum signal‐to‐interference‐plus‐noise ratio criterion at the receiver, we propose a single transmission selection scheme for distributed antenna system and investigate the corresponding ergodic capacity together with outage probability in multicell environment. Assuming that the channels suffer from independent non‐identical Nakagami‐m fading with integer values of fading severity parameter m, we derive exact closed‐form expressions for the ergodic capacity and outage probability. Monte‐Carlo simulations are carried out to validate the theoretical analysis. Simulation results show that the ergodic capacity and outage probability of the proposed single transmission selection scheme outperform that of blanket transmission scheme. Copyright © 2013 John Wiley & Sons, Ltd.     

多小区分布式发射天线位置优化

在分布式发射天线的多小区环境下,分析了多层同频干扰对小区平均遍历容量及天线位置的影响,给出了分布式天线位置选择与小区平均遍历容量的关系.数值分析和仿真结果表明外围的第一层同频小区干扰能量决定了分布式天线的最佳位置摆放,在半径1000m的小区中,各天线距离小区中心450m附近时,小区的平均遍历容量达到峰值.     

Decentralized beamforming design and power allocation for limited coordinated multi-cell network

Multi-cell processing （MCP） is capable of providing significant performance gain, but this improvement is accompanied by dramatic signaling overhead between cooperative base stations. Therefore, balancing the performance gain and overhead growth is crucial for a practical multi-base cooperation scheme. In this paper, we propose a decentralized algorithm to jointly optimize the power allocation and beamforming vector with the goal of maximizing the system performance under the constraint of limited overhead signal and backhaul link capacity. In particular, combined with calculating the transmission beamforming vector according to the local channel state information, an adaptive power allocation is presented based on the result of sum capacity estimation. Furthermore, by utilizing the concept of cell clustering, the proposed framework can be implemented in a practical cellular system without major modification of network architecture. Simulation results demonstrate that the proposed scheme improves the system performance in terms of the sum capacity and cell-edge capacity.     

面向Massive MIMO低轨卫星通信系统的鲁棒高效波束成形设计

以低轨卫星通信系统能量效率最大化为优化目标,重点研究鲁棒波束成形设计。假设卫星侧配备大规模多输入多输出技术,综合考虑传播延迟和多普勒频移造成的信道状态信息误差影响,在发射功率受限和用户服务质量约束下,提出了一种鲁棒高效的波束成形方案。考虑到遍历用户速率和遍历信干噪比都没有闭合表达式,采用具备闭合表达式的近似值代替,同时,采用半正定规划算法将非凸二次约束二次规划形式问题进行等价转换,并提出了一种联合二次变换分式规划和凹凸过程的内外两层嵌套迭代算法。最后,采用一种惩罚函数算法解决半正定规划算法中存在的秩1约束问题。仿真结果表明,所提算法性能优于传统算法,且鲁棒性较高。