Cooperative Access Networks: Optimum Fronthaul Quantization in Distributed Massive MIMO and Cloud RAN - Invited Paper
Cooperative Access Networks: Optimum Fronthaul Quantization in Distributed Massive MIMO and Cloud RAN - Invited Paper
复制标题
协作接入网络：分布式大规模 MIMO 和 Cloud RAN 中的最佳前传量化 - 特邀论文
DOI：
10.1109/vtcspring.2018.8417560
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Dick Maryopi
中科院分区：
文献类型：
--
作者：
A. Burr;M. Bashar;Dick Maryopi
我们考虑协作无线电接入网络架构，特别是分布式大规模MIMO和云RAN，考虑它们的相似性和差异。我们特别解决的主要挑战都由一个高容量的前传网络的实施，以链接的分布式接入点的中央处理单元，并考虑对上行链路性能的影响，以限制前传负载的量化接收信号。我们使用Bussgang分解沿着与一种新的方法MMSE估计的信道和数据提供我们的分析的基础。
We consider cooperative radio access network architectures, especially distributed massive MIMO and Cloud RAN, considering their similarities and differences. We address in particular the major challenge posed to both by the implementation of a high capacity fronthaul network to link the distributed access points to the central processing unit, and consider the effect on uplink performance of quantization of received signals in order to limit fronthaul load. We use the Bussgang decomposition along with a new approach to MMSE estimation of both channel and data to provide the basis of our analysis.