大规模MIMO系统中动态导频分配

针对大规模多输入多输出(MIMO)系统中存在的导频污染问题,该文提出一种动态导频分配方案。所提方案利用目标小区与干扰小区用户之间的信号干扰强度差将干扰小区分为Uin和Uout两类,并对Uin中的用户进行最优导频分配,Uout中的用户进行随机导频分配来提升系统的平均下行可达和速率。同时,在存在额外正交导频组的情况下对所提方案做了进一步优化。仿真结果表明,所提的动态导频分配方案能够有效地提升大规模MIMO系统的性能。     

大规模MIMO系统导频污染问题研究

Massive MIMO也称为大规模多输入多输出系统,是通过在基站端布置上百根的天线,利用天线数的增多来提升通信效率,进而获得极大的增益。在Massive MIMO系统中,影响系统性能的一个主要问题是导频复用造成的导频污染,文章对Massive MIMO信道模型和导频污染进行分析,深入研究了导频分配技术,并通过仿真验证了其抑制导频污染的可行性。     

大规模MIMO系统中基于用户分类的动态导频分配

针对大规模MIMO系统导频污染问题,提出一种基于用户分类的动态导频分配策略.根据目标小区用户信号强度的方差设置合理的用户信号强度临界值,将目标小区用户分为中心用户和边缘用户.中心用户采用最大载干比算法分配导频,以最大化中心用户总信道容量.边缘用户采用贪婪算法分配导频,以提高每个边缘用户的信干噪比.仿真结果表明,所提策略在提高边缘用户信干噪比的同时能够有效提高系统的信道容量.     

去蜂窝大规模MIMO系统中基于迭代剔除的导频分配

针对去蜂窝大规模多输入多输出系统中导频污染问题,提出了一种基于迭代剔除的导频分配算法。首先利用各用户相对位置信息,为系统中用户建立适当半径的导频许可圈,为导频许圈的用户分配相互正交的导频,然后已经分配过导频的用户会从用户集剔除,不再参与后继导频许可圈中用户挑选和导频分配过程,最后利用贪婪导频分配算法为速率最低的用户更新导频。实验结果表明,基于迭代剔除的导频分配算法在合适的半径下可有效降低导频污染,实现去蜂窝大规模MIMO系统的网络吞吐量提升。     

无小区大规模MIMO系统中结合贪婪导频分配的导频功率控制的算法

无小区大规模多输入多输出(multiple-input multiple-output,MIMO)系统具有广阔的频谱,但是导频训练阶段的导频污染严重影响了系统的性能,因此减少导频污染成为必要.为了减少导频污染,文中提出了一种结合贪婪导频分配的导频功率控制的算法.首先进行贪婪导频分配,此阶段提高了较低性能用户的有限性能....     

大规模MIMO系统中的动态导频分配方案

针对多小区大规模多输入多输出(MIMO)系统中存在的导频污染问题,通过分析MMSE信道估计产生的误差,提出了一种动态导频分配方案.该方案将目标小区与相邻小区相邻的边缘区域内的用户进行动态导频分配,剩余区域内的用户进行随机导频分配来提升系统下行链路的平均可达和速率.仿真结果表明,该方法不仅能显著地提升信道估计的性能,而且还能有效地提高整个系统下行链路的可达和速率.     

大规模MIMO系统中联合用户分组和联盟博弈的动态导频分配方案

大量研究表明,大规模MIMO系统中的小区边缘用户比中心用户更易遭受导频污染的影响。因此,该文提出一种联合用户分组和联盟博弈(JUG-AG)的动态导频分配方案来减轻系统导频污染。根据用户信号强度将所有用户分为A,B两组,把接收基站信号强度弱的小区边缘用户记为A组,剩余用户则为B组。A组用户使用相互正交的导频,B组用户则借助联盟博弈来重复使用剩余的正交导频。在B组用户的联盟博弈中,用户被分成若干个互不相交的用户子联盟,属于不同子联盟的用户分配不同的相互正交导频序列,而属于同一子联盟中的用户使用相同的导频序列。与已有的导频分配方案相比,该文提出的JUG-AG方案更灵活,可以用于所有用户随机分布的场景。而且,该算法通过循环搜索可以获得整体最优解。仿真结果表明JUG-AG方案能够有效降低上行链路中用户信号检测的平均均方根误差(RMSE),而且可以提高用户的平均服务速率。

     

大规模MIMO系统中基于谱分离的导频去污染

为了克服大规模MIMO的技术瓶颈——上行链路导频污染,与现有盲导频去污染中系统参数同时设计的方法不同,提出了系统参数的分层设计方法,指出不同的系统参数对最终接收信号样本协方差矩阵谱精确分离的作用是不同的,即具有不同的优先级。然后,发现要实现谱分离,期望信号的功率并不一定要高于干扰功率,两者之间的差异才是决定因素。更进一步地,在导频序列长度小于基站接收天线数这种更实际的场景下,首次给出了一种数值算法同样能实现上述的精确谱分离。实验仿真证明,由于分层的参数设计保证了渐近谱的精确分离,所提方案比现有的盲导频去污染方案更适合实际应用。     

无小区大规模MIMO系统中基于叠加导频的上行频谱效率理论上限分析

无小区大规模多输入多输出(Cell-Free Massive MIMO)突破传统蜂窝小区的概念,被认为是未来移动通信中十分富有潜力的技术.该技术通过部署大量的分布式接入点(Access Point,AP)以获得充分的宏分集增益,以提高用户服务质量.受信道相干时间的限制,系统中可供用户分配的正交导频资源非常有限,部分用户...     

Joint distance‐based user grouping and pilot assignment schemes for pilot decontamination in massive MIMO systems

Pilot contamination (PC) is one of the most crucial problems in massive multiple‐input multiple‐output (MIMO) systems, due to a limited source of the coherence block. In the current study, two pilot assignment schemes proposed for massive MIMO uplink transmission. We divided each cell into two groups of edge and center users under distance‐based user grouping algorithm (DUG), which the aim is finding the best user grouping boundary. The best boundary is where both signal to interference plus noise Ratio (SINR) of edge and center users is maximum, according to the user's distance to base stations (BS). We investigated the location‐aware pilot assignment (LPA) scheme to enhance the quality of services for both groups. In LPA by assuming three pilot groups for adjacent cells and determining the user's distance to BS, the planned pilots assigned to the users according to their distance to the BS. Then, we optimized pilot schedules in each group by maximizing uplink (UL) rate of each user with auction‐based optimization pilot assignment (AOPA). Simulation results show that both DUG and LPA improve the rate of edge users about 70% and the rate of center users about 30%. Joint DUG and AOPA enhance the rate of the edge and center users about 100% and 80% in each group than conventional schemes and about 50% and 10%, compared with the LPA method. Simulation results show that the proposed method is efficient in reducing PC and improving spectral efficiency.     

Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO

The massive MIMO system is equipped with a large number of antennas at the base station to serve many users, but it is affected by the inter-cell interference which called pilot contamination. A pilot scheduling scheme was designed to reduce the effect of pilot contamination. Pilot scheduling problem belongs to the arrangement optimization problem, and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly. In order to reduce the influence of the interference of the community, a new pilot scheduling schemes was proposed by so this article using cell classification and cross entropy(CE) mechanism to reduce the effect of pilot contamination on the system. The simulation results show that the proposed algorithm can not only improve the performance of the system, but also reduce the computational complexity.     

5G Massive MIMO寻优验证与应用

5G Massive MIMO的多天线阵列系统增加了垂直维的自由度,可灵活调整水平维和垂直维的波束形状,并引出了立体覆盖波束Pattern这一概念。现网普遍采用厂家默认的Pattern,仅在单站和簇优化过程中根据测试情况,进行Pattern的局部优化,明显滞后。为探索不同场景5G Masiive MIMO最优配置,指导一线快速掌握不同场景下的Pattern经验值,支撑5G精准规划与优化,基于规划平台输出建议,在不同场景下开展Pattern权值寻优验证,并输出不同场景下的推荐值。     

Pilot decontamination in massive MIMO system combining time-shifted and cell sectorization pilot assignment

Pilot contamination is appeared in massive MIMO (multiple input multiple output) system when using the same pilot sequences at different cells to get the channel state information.It becomes a bottleneck problem of massive MIMO when the number of antenna goes infinite.In order to dealt with pilot contamination,a new TS-CSPA joint scheme was proposed.This scheme can mitigate pilot contamination by reduce the reuse of pilot sequence through the time domain and space domain.And the closed-form expression for the achieved rates and signal to interference plus noise ratio(SINR) to verify the advantages of the proposed scheme were given.Numerical results show that significant performance gains to mitigate pilot contamination problem compared to other methods.     

Pilot contamination mitigation based on antenna subset transmission for mmWave massive MIMO

This paper tackles the problem of pilot contamination (PC) in mmWave Massive MIMO cellular systems. We propose an analog precoder based on antenna subset transmission technique to mitigate the PC. This technique ensures the interfering signal to become noise‐like signal thus helping a more efficient estimation of channel coefficients. Also, this strategy is low cost and introduces no complexity load. The result shows the effectiveness of the proposed precoder to mitigate PC issue.