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SINR-oriented flexible quantization bits for optical-wireless deep converged eCPRI

机译:面向SINR的灵活量化比特,用于光无线深度融合eCPRI

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The split-PHY and Ethernet-based eCPRI is mostly advanced for reducing fronthaul line rate and leveraging Ethernet protocol. In this paper, a fundamental method is proposed to compress the eCPRI data by dynamically adjusting the quantization bits of IQ sample according to the corresponding wireless signal quality of user equipment. With the aid of this mechanism, the fronthaul traffic is correlated to the eventual end-user traffic instead of the air bandwidth, and hence the flexibility and the bandwidth efficiency of the interface can be further improved. To verify this proposal, a simulation model achieving the complete low-MAC layer and PHY layer processing for LTE uplink and strictly following the 3GPP specifications is built. The results indicate that for the typical mobile environment, the proposed scheme can statistically save ~20% interface bandwidth.
机译:基于PHY和基于以太网的拆分式eCPRI在降低前传线路速率和利用以太网协议方面最先进。本文提出了一种基本方法,根据用户设备对应的无线信号质量,通过动态调整IQ样本的量化位来压缩eCPRI数据。借助于这种机制,将前传流量与最终的最终用户流量而不是空中带宽相关联,因此可以进一步提高接口的灵活性和带宽效率。为了验证该建议,构建了一个仿真模型,该模型实现了针对LTE上行链路的完整的低MAC层和PHY层处理,并严格遵循3GPP规范。结果表明,对于典型的移动环境,该方案可以统计节省约20%的接口带宽。

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