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首页> 外文会议>International Symposium on Application of Materials Science and Energy Materials >A Pilot Allocation Method of Jointing Cell Grouping and Alliance Game in Massive MIMO System
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A Pilot Allocation Method of Jointing Cell Grouping and Alliance Game in Massive MIMO System

机译：大规模MIMO系统中联合细胞分组和联盟游戏的试验分配方法

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摘要

In order to improve the uplink channel estimation performance and reduce pilot contamination (PC), this paper proposes a pilot allocation method of jointing cell grouping and alliance game (JCG-AG) for massive multiple-input multiple-output (MIMO) cellular networks. It can be divided into two steps. First, by properly dividing all cells into different cell-groups, the users in different cell-groups are allocated different orthogonal pilot sets. Second, the users in the same cell-group are further divided into several mutually disjoint sub-alliances. Users belonging to different sub-alliances are allocated different pilots, and users belonging to the same sub-alliance reuse the same pilots. During the second step, the alliance formation algorithm is used to suppress PC. The JCG-AG method takes practical application as the starting point, focuses on the random distribution of users, and uses the idea of alliance game. All these make it more flexible and practical. As demonstrated in the simulation results, the JCG-AG method can greatly mitigate the PC and reduce the average mean square error (MSE) for all channel estimations in the uplink.
机译：为了提高上行链路信道估计性能和降低导频污染（PC），本文提出了一种用于庞大的多输入多输出（MIMO）蜂窝网络的连接小区分组和联盟游戏（JCG-AG）的导频分配方法。它可以分为两个步骤。首先，通过将所有单元划分为不同的小区组，在不同小区组中的用户被分配不同的正交导频集。其次，同一小区组中的用户进一步分为几个相互脱节的子联盟。属于不同子联盟的用户被分配不同的导频，并且属于同一子联盟的用户重用相同的导频。在第二步期间，联盟形成算法用于抑制PC。 JCG-AG方法作为起点实际应用，重点关注用户的随机分布，并使用联盟游戏的想法。所有这些都使其更加灵活和实用。如在仿真结果中所示，JCG-AG方法可以大大减轻PC并减少上行链路中所有信道估计的平均平均误差（MSE）。

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