Abstract
MIMO has become a core technology of 5G network to largely improve system throughput. Due to the cost and size of the user equipment (UE), the application of MIMO uplink is limited by the difficulty in practical implementation at the user side. Virtual MIMO has been widely investigated to solve this problem for wireless uplink systems. However, virtual MIMO transmission leads to performance degradation due to the multiuser interference. To obtain good trade-off between the system throughput and transmission performance, we investigate joint user grouping and resource allocation under the consideration of system throughput and average mean squared error (MSE) performance in SC-FDMA uplink systems. Based on linear MIMO detection, we first develop MSE-oriented user grouping criteria for evaluation of transmission performance, then establish dynamic user grouping and optimal resource allocation problems for hard and elastic average MSE constraints. The proposed joint resource allocation algorithm is evaluated in SC-FDMA uplink scenarios and the results show that it achieves maximum system throughput with average MSE guaranteed for the hard MSE constraint algorithms and the alterable trade-off between system throughput and average MSE for the elastic MSE constraint algorithms.
创新点
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1
提出与量化评价基于平均MSE的用户分组准则。为了降低计算复杂度,并利用矩阵的最小特征值及其估计值推导出了两种形式的次优用户分组标准
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2
根据用户配对准则和上行SC-FDMA的资源块分配准则,提出了联合用户配对和资源分配算法。以系统吞吐量和系统平均MSE为多目标函数,构建多目标优化模型
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3
在硬MSE约束的应用场景下,通过使用MSE约束来使得多目标函数单目标化;在弹性MSE约束的应用场景下,通过赋予吞吐量和MSE值不同的权值来使得多目标函数单目标化;将简化后的优化模式使用分支定界法来求解。
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Lu, X., Yang, K., Li, W. et al. Joint user grouping and resource allocation for uplink virtual MIMO systems. Sci. China Inf. Sci. 59, 1–14 (2016). https://doi.org/10.1007/s11432-015-5514-4
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DOI: https://doi.org/10.1007/s11432-015-5514-4