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首页> 外文期刊>Vehicular Technology, IEEE Transactions on >Multiuser Scheduling and Pairing With Interference Mitigation for LTE Uplink Cellular Networks
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Multiuser Scheduling and Pairing With Interference Mitigation for LTE Uplink Cellular Networks

机译:LTE上行蜂窝网络的多用户调度和干扰缓解配对

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摘要

In this paper, we investigate multiuser scheduling with joint user pairing, resource allocation, and power control (PC) in Long-Term Evolution (LTE) uplink cellular networks. We first derive the received signal-to-interference-plus-noise ratio (SINR) in spatial multiuser single-carrier frequency-division multiple-access (SC-FDMA) systems with frequency-domain minimum mean square error (MMSE) equalization. Based on this, we formulate an optimization problem as joint multiuser pairing, resource allocation, and PC to maximize the weighted throughput of the system. We then divide it into a two-step optimization problem, which is suboptimal but significantly reduces the complexity. The two-step problem first performs optimal frequency resource allocation and user pairing for a given transmit power value and then adjusts the transmit power to maximize the weighted throughput when frequency resources are allocated and users are paired. With the help of high-interference indicators exchanged among multiple base stations (BSs), we develop an iterative distributed and low-complexity algorithm to further simplify the two-step problem. System-level simulation results show that the proposed algorithm can effectively mitigate interference and significantly outperforms the existing algorithms.
机译:在本文中,我们研究了长期演进(LTE)上行链路蜂窝网络中具有联合用户配对,资​​源分配和功率控制(PC)的多用户调度。我们首先导出具有频域最小均方误差(MMSE)均衡的空间多用户单载波频分多址(SC-FDMA)系统中的接收信号干扰加噪声比(SINR)。基于此,我们将优化问题表述为联合多用户配对,资​​源分配和PC,以最大程度地提高系统的加权吞吐量。然后,我们将其分为两步优化问题,这是次优问题,但会大大降低复杂性。两步问题首先针对给定的发射功率值执行最佳的频率资源分配和用户配对,然后在分配频率资源并将用户配对时调整发射功率以最大化加权吞吐量。借助在多个基站(BS)之间交换的高干扰指标,我们开发了一种迭代的分布式低复杂度算法,以进一步简化两步问题。系统级的仿真结果表明,该算法可以有效地减轻干扰,并且明显优于现有算法。

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