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Joint Resource Slicing for Uplink in OFDMA-Based Cloud RAN

机译:基于多马的云中的上行链路的联合资源切片ran

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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:本文提出了一种用于基于OFDMA的云ran的上行链路的联合资源切片(JRS)方法。我们尝试通过联合子载波,功率和球员分配来最大限度地提高系统利用率,同时考虑对多个切片的不同要求。我们定义了考虑数据速率和功耗的组合的加权利用功能。因此,可以通过调整每个切片的权重的值来实现自定义。然后将该方法配制成通过使用双分解方法解决的优化问题。此外,本文还提供了一种减少计算复杂性的次优溶液。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,同时在切片之间实现隔离和定制。

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