Massive MIMO

摘要： A reconfigurable intelligent surface(RIS)aided massive multiple-input multiple-output(MIMO)system is considered,where the base station employs a large antenna array with low-cost and low-power 1-bit analog-to-digital converters(ADCs).To compensate for the per-formance loss caused by the coarse quantization,oversampling is applied at the receiver.The main challenge for the acquisition of cascaded channel state information in such a system is to handle the distortion caused by the 1-bit quantization and the sample correlation caused by oversampling.In this work,Bussgang decomposition is applied to deal with the coarse quantization,and a Markov chain is developed to char-acterize the banded structure of the oversampling filter.An approximate message-passing based algorithm is proposed for the estimation of the cascaded channels.Simulation results demonstrate that our proposed 1-bit systems with oversampling can approach the 2-bit systems in terms of the mean square error performance while the former consumes much less power at the receiver.

摘要： Massive multiple-input multiple-output(MIMO)technology enables higher data rate transmission in the future mobile communications.However,exploiting a large number of antenna elements at base station(BS)makes effective implementation of massive MIMO challenging,due to the size and weight limits of the masssive MIMO that are located on each BS.Therefore,in order to miniaturize the massive MIMO,it is crucial to reduce the number of antenna elements via effective methods such as sparse array synthesis.In this paper,a multiple-pattern synthesis is considered towards convex optimization(CO).The joint convex optimization(JCO)based synthesis is proposed to construct a codebook for beamforming.Then,a criterion containing multiple constraints is developed,in which the sparse array is required to fullfill all constraints.Finally,extensive evaluations are performed under realistic simulation settings.The results show that with the same number of antenna elements,sparse array using the proposed JCO-based synthesis outperforms not only the uniform array,but also the sparse array with the existing CO-based synthesis method.Furthermore,with a half of the number of antenna elements that on the uniform array,the performance of the JCO-based sparse array approaches to that of the uniform array.

摘要： 欧美已部署ATG网络并在向5G升级,飞机上旅客的上网体验有望提升,航空运营及服务的新模式有望出现。针对新一代ATG地面基站天线长距离、高增益覆盖的需求,在原理分析的基础上,提出以余割平方曲线为目标方向图函数,用粒子群算法迭代出馈到垂直阵列中每个辐射单元的幅相权值、采用威尔金森功分器及调整馈电线路在功分板上实现上述权值,从而实现垂直面上的余割平方方向图,最后给出经实用验证的Massive MIMO天线性能。

摘要： This paper proposes a novel joint channel estimation and beamforming scheme for the massive multiple-input-multiple-output(MIMO)frequency-division duplexing(FDD) wireless legitimate surveillance system. With the proposed scheme,the monitor with the full duplex capability realizes the proactive eavesdropping of the suspicious link by leveraging the pilot attack approach. Specifically, exploiting the effective eavesdropping rate and the mean square error as performance metrics and setting a total power budget at the training and transmission phases,while guaranteeing the information from suspicious source can be successfully decode, joint pilot design,power allocation and beamforming strategy are formulated as optimization problems for the two objective functions: MSE and effective eavesdropping rate. A closed-form expression of the optimal pilot with the limited length can be obtained via the channel correlation. The optimal power problem at the training phase can be solved by a simple bisection method. Then,based on the obtained imperfect estimated channel,the jamming beamforming at monitor optimization algorithm is proposed by utilizing the convex Semidefinite Programming approach to maximize the effective eavesdropping rate. Numerical results show that the proposed joint pilot design, power allocation and beamforming optimization scheme can improve the surveillance performance of the legitimate monitor as compared to the existing passive eavesdropping and jamming-assisted eavesdropping.

摘要： Massive MIMO具备较强的空分复用能力,可在相同时频资源上进行多用户配对传输。资源调度从时频域扩展到空域,使得可调度的资源变多,计算小区的PRB利用率时,应考虑空分复用能力,需要对原有的PRB利用率计算公式进行更新,为Massive MIMO无线资源评估提供更客观准确的评估方法。通过对Massive MIMO调度资源的特征分析,给出新的计算公式,并对空分复用因子的取值方式、主要影响因素等进行详细分析,公式中涉及的空分复用因子与业务分布、用户分布、移动速度等多种因素相关,综合考虑各种因素的影响,最后给出建议值。

摘要： 基于MDT三维采样数据,通过对小区下用户的立体分布进行分析,对小区覆盖场景进行归类识别,并根据不同场景的覆盖特点,提出一种差异化广播权值四元组(水平波宽、垂直波宽、电子方位角、电子下倾角)配置算法.通过现网试点验证,该算法可精准识别小区覆盖场景及弱覆盖区域,场景化权值优化取得了良好的覆盖提升效果,SA时长驻留比、总吞吐量、用户体验速率等指标有显著提升.

摘要： 目前Massive MIMO天线权值寻优方法主要采用蜂群算法。该方法存在收敛速度慢和容易陷入局部最优解等问题。因此,本文提出一种基于人工蜂群加遗传算法的组合寻优算法,通过建立新的思路、流程和方法,两种算法互相取长补短,极大提升了计算效率和寻优效果,实现连片区域权值最优解,应用效果良好。

摘要： Precoding is a beamforming technique that supports multi-streamtransmission in which the RF chain plays a significant role as a digital precoding at the receiver for wireless communication. The traditional precodingcontains only digital signal processing and each antenna connects to each RFchain, which provides high transmission efficiency but high cost and hardwarecomplexity. Hybrid precoding is one of the most popular massive multipleinput multiple output (MIMO) techniques that can save costs and avoid usingcomplex hardware. At present, network services are currently in focus with awide range of traffic volumes. In terms of the Quality of Service (QoS), it iscritical that service providers pay a lot of attention to this parameter and itsrelationship to Quality of Experience (QoE) which is the measurement of theoverall level of user satisfaction. Therefore, this paper proposes hybrid precoding of a partially structured system to improve transmission efficiency andallocate resources to provide network services to users for increasing the usersatisfaction under power constraints that optimize the quality of basebandprecoding and radio frequency (RF) precoding by minimizing alternatingalgorithms. We focus on the web browsing, video, and Voice over IP (VOIP)services. Also, a Mean Opinion Score (MOS) is employed to measure thelevel of user satisfaction. The results show that the partially structured systemprovides a good user satisfaction with the network’s services. The partiallystructured system provides high energy efficiency up to 85%. Considering webservice, the partially structured system for 10 users provides MOS at 3.21 whichis higher than 1.75 of fully structured system.

摘要： 针对Massive MIMO波束权值优化的难点,提出了一种基于GBDT机器学习的回归预测算法,通过实测及仿真,研究该算法在不同场景下各种波束权值的覆盖能力,基于机器学习模型,利用研究结果结合三维地图、建筑物数据、MR数据、仿真/测试数据等进行机器学习建模,输出Massive MIMO波束自适应覆盖优化算法。在现网的应用结果表明,该算法能够有效地提升5G网络覆盖质量。

摘要： Millimeter-Wave(mmWave)Massive MIMO is one of the most effective technology for the fifth-generation(5G)wireless networks.It improves both the spectral and energy efficiency by utilizing the 30–300 GHz millimeter-wave bandwidth and a large number of antennas at the base station.However,increasing the number of antennas requires a large number of radio frequency(RF)chains which results in high power consumption.In order to reduce the RF chain’s energy,cost and provide desirable quality-ofservice(QoS)to the subscribers,this paper proposes an energy-efficient hybrid precoding algorithm formm Wave massive MIMO networks based on the idea of RF chains selection.The sparse digital precoding problem is generated by utilizing the analog precoding codebook.Then,it is jointly solved through iterative fractional programming and successive convex optimization(SCA)techniques.Simulation results show that the proposed scheme outperforms the existing schemes and effectively improves the system performance under different operating conditions.

摘要： 本发明实施例涉及一种MassiveMIMO天线阵列以及天线阵列组阵方法。该天线阵列包括多个由3个辐射单元组成的子阵，所述子阵中各辐射单元水平间距为0.5倍波长，垂直间距为0.6倍波长，所述各辐射单元边缘使用腔体隔离，所述子阵错位排布。该天线阵列结构新颖，通过简单的设置实现水平、垂直向的3维波束扫描能力且具有高隔离、低副瓣性能，有效地提高通信系统的容量以及通信质量，可满足5G通信的高效数据传输要求。

摘要： 本发明属于移动通信技术领域，公开了一种Massive MIMO系统基于混合能量采集的功率分配方法，在一个单小区多用户的Massive MIMO系统下行传输过程中，基站作为发送端由可再生能源和电网共同供电，可再生能量采集后存储于一个电池中用于数据传输，当电池电量匮乏时，基站将利用电网能量保证服务。本发明基于能量获取的不确定性建立混合能量采集模型，并根据信道状态和能量状态时变特性以及用户间的协调影响，通过迭代更新系统信息，最终为每个用户分配最优的功率，使系统获得最高吞吐量的同时，最大限度的节省对不可再生资源的利用，达到绿色、节能的目的。

摘要： 本发明属于多输入多输出系统技术领域，公开了一种基于实测数据的Massive MIMO信道建模方法；建立共焦椭圆模型，设置基站和偶极子的参数；依据实测数据获得散射簇的生灭速率，得到9状态马尔科夫链状态转移概率矩阵，利用马尔科夫链描述天线阵列轴上散射簇的演进过程，分配每个散射簇特征参数；最后根据各个参数之间的几何位置关系，计算视距和非视距情况下的相位和多普勒频率，生成信道冲激响应。本发明能够准确的描述散射簇在天线阵列上生灭过程，刻画了Massive MIMO信道的非平稳特征，能够描述球面波特征；同时计算量较小，能够在较少的时间内生成信道冲激响应，提高了信道的仿真效率。

摘要： 本发明涉及5G技术领域，且公开了基于MassiveMIMO优化的异构网络干扰协调方法，需要选取不同的网络部署场景。该基于MassiveMIMO优化的异构网络干扰协调方法，根据发射端和接收端天线的阵列结构、发射信号的离开角与角度扩展、接收信号的到达角与角度扩展、角度功率谱、多普勒功率谱等参数，提出了一个合理的MIMO无线信道模型，角度扩展一定时，相关系数随着天线间的距离的增大而减小；而当天线间距一定时，相关系数随着角度扩展的增大而减小。角度扩展比较小时，相关系数随天线间距增大而缓慢的减小，角度扩展比较大时，在很小的天线间距(小于1)时相关系数随天线间距增大而迅速的减小，天线间距大于1时，相关系数的变化比较平缓。

摘要： 本发明实施例涉及一种MassiveMIMO天线阵列以及天线阵列组阵方法。该天线阵列包括多个由3个辐射单元组成的子阵，所述子阵中各辐射单元水平间距为0.5倍波长，垂直间距为0.6倍波长，所述各辐射单元边缘使用腔体隔离，所述子阵错位排布。该天线阵列结构新颖，通过简单的设置实现水平、垂直向的3维波束扫描能力且具有高隔离、低副瓣性能，有效地提高通信系统的容量以及通信质量，可满足5G通信的高效数据传输要求。

摘要： 本发明属于移动通信技术领域，公开了一种Massive MIMO系统基于混合能量采集的功率分配方法，在一个单小区多用户的Massive MIMO系统下行传输过程中，基站作为发送端由可再生能源和电网共同供电，可再生能量采集后存储于一个电池中用于数据传输，当电池电量匮乏时，基站将利用电网能量保证服务。本发明基于能量获取的不确定性建立混合能量采集模型，并根据信道状态和能量状态时变特性以及用户间的协调影响，通过迭代更新系统信息，最终为每个用户分配最优的功率，使系统获得最高吞吐量的同时，最大限度的节省对不可再生资源的利用，达到绿色、节能的目的。

摘要： 本发明属于多输入多输出系统技术领域，公开了一种基于实测数据的Massive MIMO信道建模方法；建立共焦椭圆模型，设置基站和偶极子的参数；依据实测数据获得散射簇的生灭速率，得到9状态马尔科夫链状态转移概率矩阵，利用马尔科夫链描述天线阵列轴上散射簇的演进过程，分配每个散射簇特征参数；最后根据各个参数之间的几何位置关系，计算视距和非视距情况下的相位和多普勒频率，生成信道冲激响应。本发明能够准确的描述散射簇在天线阵列上生灭过程，刻画了Massive MIMO信道的非平稳特征，能够描述球面波特征；同时计算量较小，能够在较少的时间内生成信道冲激响应，提高了信道的仿真效率。

摘要： 本实用新型提供一种Massive MIMO无线发送装置，属于移动通信技术领域。它包括光口、标签处理通道、基带单元、射频单元，所述基带单元和光口连接，所述基带单元包括基站控制模块、公共控制模块和专用数据处理模块三部分，所述射频单元也和光口连接，所述基带单元和射频单元中都增设有标签处理通道。本实用新型实现相同数据在基带单元处理一次，并在数据前端增加标签类别，在交换处理通道对发送数据进行转发，解决相同数据多次处理的占用基带处理能力的问题。

摘要： 本实用新型涉及无线传输技术领域，更具体地说涉及一种massiveMIMO无线光通信发射器。散热风扇设置在固定板上，储水箱Ⅰ与储水箱Ⅱ均固定在承台上，massiveMIMO无线光通信发射器外壳与外壳均固定在承台的顶端，水泵Ⅰ设置在储水箱Ⅰ的内部，盘管设置在接头Ⅰ上，进风扇设置在massiveMIMO无线光通信发射器外壳的左侧面上，排风扇Ⅰ设置在massiveMIMO无线光通信发射器外壳的右侧面上，排风扇Ⅱ设置在外壳的右侧面上，喷雾头设置在喷雾头安装管上，集尘架、活性炭过滤网、HEPA过滤层与天然植物飘香片均设置在外壳的内部。该massiveMIMO无线光通信发射器实用性强，既能够快速为其散热，散热效果好，有效提高了工作效率，又能够净化和加湿周边空气，有效的提高周边空气质量。

摘要： 本实用新型涉及massiveMIMO技术领域，更具体地说是一种新型的massiveMIMO通讯基站，电机安装在箱体底端的内部，主动齿轮安装在电机的输出轴上，底座设置在底座的顶端。多个支撑座呈圆形固定连接在支撑座的周围，转动平台设置在滚珠上。转轴的上端固定连接在转动平台的底端，转轴的下端穿过底座其底端安装有从动齿轮。推力球轴承的下圈卡装在下卡座中，推力球轴承的上圈卡装在上卡座的内部。液压千斤顶的底端连接在固定座上，液压千斤顶伸缩轴的顶端与基站底座相连接，massiveMIMO通讯基站主体安装在基站底座上。该massiveMIMO通讯基站能够转动并且能够在水平位置进行调节，进而massiveMIMO通讯基站在可变半径范围内任意进行调节，同时便于massiveMIMO通讯基站的使用。