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A Study on Uplink Pilot Allocation for Massive MIMO Cellular Systems

机译:大规模MIMO蜂窝系统上行链路导频分配研究

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Pilot contamination due to the pilot reuse in adjacent cells is a very serious problem in time-division duplex (TDD) based massive multi-input multiple-output (mMIMO) system. Therefore, the pilot-user allocation is significant for improving the performance of the system. In this paper, we formulate the pilot-user allocation optimization problem for maximizing uplink sum rate of the system. To reduce the required complexity for finding the optimum pilot allocation, we propose a low-complexity pilot allocation algorithm, where the formulated problem is decoupled into multiple subproblems; in each subproblem, the pilot allocation at a given cell is optimized while fixing the pilot allocation in other cells. This process is continued until the achievable sum rate converges. Through multiple iterations, the optimum pilot allocation is found. In addition, to improve users' fairness, we formulate a fairness aware pilot allocation as maximization problem of sum of user's logarithmic rate and solve the formulated problem using a similar algorithm. Simulation results show that the proposed algorithms obtain good performance comparable to the exhaustive search algorithm in TDD mMIMO systems, while the users' fairness is improved.
机译:由于相邻电池中的导频重用导致的导频污染是基于时分双工(TDD)的大规模多输入多输出(MMIMO)系统的非常严重的问题。因此,导频用户分配对于提高系统性能很重要。在本文中,我们制定了用于最大化系统上行链路和速率的导频 - 用户分配优化问题。为了减少寻找最佳导频分配所需的复杂性,我们提出了一种低复杂性导频分配算法,其中配制的问题被解耦为多个子问题;在每个子问题中,在将导频分配中修复其他小区中的导频分配,优化给定小区处的导频分配。继续该过程,直到可实现的总和率收敛。通过多次迭代,找到最佳导频分配。此外,为了提高用户的公平性,我们制定公平意识的试点分配作为用户对数率的最大化问题,并使用类似算法解决配制问题。仿真结果表明,该算法可与TDD MMIMO系统中的详尽搜索算法相当的良好性能,而用户的公平得到改善。

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