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首页> 外文期刊>IEEE Transactions on Vehicular Technology >A Game Theoretic Approach to Uplink Pilot and Data Power Control in Multi-Cell Multi-User MIMO Systems
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A Game Theoretic Approach to Uplink Pilot and Data Power Control in Multi-Cell Multi-User MIMO Systems

机译：多小区多用户MIMO系统中上行导频和数据功率控制的博弈论方法

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摘要

In multi-user multiple-input-multiple-output (MU-MIMO) systems that employ pilot-symbol aided channel estimation, the pilot-to-data power ratio (PDPR) has a large impact on the system performance. In this paper, we consider the problem of setting the PDPR in multi-cell MU-MIMO systems in the presence of channel estimation errors, intercell interference and pilot contamination. To analyze and address this problem, we first develop a model of the multi-cell MU-MIMO system and derive a closed-form expression for the mean squared error of the uplink received data symbols. Building on this result, we then propose two decentralized PDPR-setting algorithms based on game theoretic approaches that are applicable in multi-cell systems. We find that both algorithms converge to a Nash equilibrium and provide performance improvements over systems that do not properly set the PDPR, while they maintain different levels of fairness.
机译：在采用导频符号辅助信道估计的多用户多输入多输出（MU-MIMO）系统中，导频与数据功率之比（PDPR）对系统性能有很大影响。在本文中，我们考虑在存在信道估计误差，小区间干扰和导频污染的情况下在多小区MU-MIMO系统中设置PDPR的问题。为了分析和解决此问题，我们首先开发了多小区MU-MIMO系统的模型，并针对上行链路接收到的数据符号的均方误差推导了封闭形式的表达式。基于此结果，我们然后基于适用于多小区系统的博弈论方法提出了两种分散的PDPR设置算法。我们发现这两种算法都收敛到Nash平衡，并且在未正确设置PDPR的系统上提供了性能改进，而它们却保持了不同的公平性。

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