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User pairing algorithms for multi-cell and multi-user communications

机译:用于多小区和多用户通信的用户配对算法

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Coordinated multi-point (CoMP) transmission/reception has been proposed as an approach to improve the cell-edge throughput for a cellular system. In this paper, we consider a cooperative serving strategy between multiple base stations (BSs) with precoding. We attempt to design low-complexity algorithms for finding an appropriate pair of users between two BSs that can be served using the same resource blocks (RBs). We observe that finding users with precoding that maximize the throughput is a combinatorial optimization problem. This problem has been shown to be an NP-hard problem, since for any given users, finding the optimum precoding matrices with maximum throughput is essentially an NP-hard problem. Two low-complexity algorithms are proposed to solve the problem. Algorithm I is based on sum rate (SR) pairing with simplified precoding which requires to compute precoding matrices for all user pairs under evaluation and hence has a large computational complexity. Our major contribution is to propose Algorithm II based on some simplifications of the sum rate and get a cost function which is independent of the precoding matrices. Therefore, Algorithm II does not require to compute the precoding matrix for all user pairs and hence significantly reduce the computational complexity. Simulation results show that Algorithm II achieves almost the same performance as Algorithm I with a much lower complexity.
机译:已经提出了协调多点(CoMP)发送/接收作为一种改善蜂窝系统的小区边缘吞吐量的方法。在本文中,我们考虑了具有预编码的多个基站(BS)之间的协作服务策略。我们尝试设计低复杂度算法,以在两个可以使用相同资源块(RB)进行服务的BS之间找到合适的一对用户。我们观察到,使用预编码找到可最大化吞吐量的用户是一个组合优化问题。该问题已被证明是一个NP难题,因为对于任何给定的用户而言,找到具有最大吞吐量的最佳预编码矩阵本质上是一个NP难题。提出了两种低复杂度的算法来解决该问题。算法I基于具有简化的预编码的和率(SR)配对,这需要为评估中的所有用户对计算预编码矩阵,因此运算量很大。我们的主要贡献是基于总速率的一些简化提出算法II,并获得独立于预编码矩阵的代价函数。因此,算法II不需要为所有用户对计算预编码矩阵,从而显着降低了计算复杂度。仿真结果表明,算法II的性能几乎与算法I相同,而复杂度却低得多。

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