Downlink Scheduling and Resource Allocation for 5G MIMO Multicarrier Systems

Ankur Vora, K. Kang
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引用次数: 3

Abstract

Emerging 5G wireless communication technology is envisioned to significantly enhance the performance. In this paper, we propose a new algorithm for effective cross-layer downlink scheduling and resource allocation (SRA) considering the channel and queue state, while supporting fairness. We also integrate our cross-layer SRA scheme with filter-bank multicarrier/offset quadrature amplitude modulation (FBMC/OQAM) to leverage the higher spectral efficiency. Our performance evaluation results show that our SRA method outperforms a novel SRA algorithm [1] by up to approximately 60%, 2.6%, and 1.6% in terms of goodput, goodput fairness, and delay fairness, respectively.
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5G MIMO多载波系统下行链路调度与资源分配
预计新兴的5G无线通信技术将大幅提高性能。本文提出了一种考虑信道和队列状态,同时支持公平性的有效跨层下行链路调度和资源分配(SRA)算法。我们还将跨层SRA方案与滤波器组多载波/偏置正交调幅(FBMC/OQAM)集成,以利用更高的频谱效率。我们的性能评估结果表明,我们的SRA方法在goodput、goodput公平性和延迟公平性方面分别比一种新的SRA算法[1]高出约60%、2.6%和1.6%。
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