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Distributed Fronthaul Compression Design for Rateless Coded Multi-User Uplink Transmission in C-RAN

机译:分布式Fronthaul压缩设计,用于C-RAN中的不可用编码的多用户上行链路传输

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In this paper, we consider the multi-user uplink transmission in cloud radio access network (C-RAN), which consists of two users, two radio remote heads (RRHs), and the baseband processing unit (BBU) pool. The users adopt Raptor code and send the modulated signals to both RRHs continuously until receiving the acknowledge character (ACK) feedback from the BBU. A novel fronthaul compression scheme for RRH is proposed. Explicitly, both RRHs quantize the received signal to meet the fronthaul capacity constraint. One of the RRHs further compresses the quantized signal with low density parity check (LDPC) code. Then not only the resulted syndrome bits, additional quantization bits are also sent to the BBU according to the remaining fronthaul capacity, which can reduce the quantization noise at the BBU. We optimize the LDPC code based on extrinsic information transfer (EXIT) analysis. Simulation results show that optimized LDPC code has good compression performance compared with regular LDPC code, and the proposed fronthaul compression scheme outperforms the conventional scheme without DSC.
机译:在本文中,我们考虑云无线电接入网络(C-RAN)中的多用户上行链路传输,其包括两个用户,两个无线电远程头(RRH)和基带处理单元(BBU)池。用户采用Raptor代码并连续地将调制信号发送到rRH,直到接收来自BBU的确认字符(ACK)反馈。提出了一种新的Fronthaul压缩计划的RRH。明确地,两个RRH量化接收信号以满足Fronthula容量约束。其中一个RRH进一步压缩了低密度奇偶校验检查(LDPC)代码的量化信号。然后,不仅产生了综合征比特,还根据剩余的Fronththula容量向BBU发送额外的量化比特,这可以降低BBU的量化噪声。基于外在信息传输(退出)分析,我们优化LDPC码。仿真结果表明,与常规LDPC码相比,优化的LDPC码具有良好的压缩性能,并且所提出的Fronthaulce压缩方案优于没有DSC的传统方案。

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