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Joint Resource Slicing for Uplink in OFDMA-Based Cloud RAN

机译:基于OFDMA的云RAN中的上行链路联合资源切片

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A joint resource slicing (JRS) method for the uplink of an OFDMA-based cloud RAN is proposed in this paper. We try to maximize the system utilization by joint subcarrier, power and fronthual rate allocation, while considering different requirements for multiple slices. We define weighted utilization functions which consider the combination of data rate and power consumption. Therefore, the customization can be achieved by adjusting the value of weights for each slice. This method is then formulated as an optimization problem which is solved by using dual decomposition method. Besides, a suboptimal solution which reduces computational complexity is also provided in this paper. Simulation results indicate that our JRS method can improve resource utilization while achieving isolation and customization between slices compared with static reservation method.
机译:提出了一种基于OFDMA的云RAN的上行资源联合分片(JRS)方法。我们尝试通过联合子载波,功率和前向速率分配来最大化系统利用率,同时考虑多个片的不同要求。我们定义了加权利用率函数,其中考虑了数据速率和功耗的组合。因此,可以通过调整每个切片的权重值来实现自定义。然后将此方法表述为通过使用双重分解方法解决的优化问题。此外,本文还提供了降低计算复杂度的次优解决方案。仿真结果表明,与静态预留方法相比,我们的JRS方法可以提高资源利用率,同时实现切片之间的隔离和自定义。

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