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首页> 外文期刊>IEEE Transactions on Signal Processing >Cross-Layer Design for Downlink Multihop Cloud Radio Access Networks With Network Coding
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Cross-Layer Design for Downlink Multihop Cloud Radio Access Networks With Network Coding

机译：具有网络编码的下行多跳云无线接入网络的跨层设计

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摘要

There are two fundamentally different fronthaul techniques in the downlink communication of cloud radio access network (C-RAN): the data-sharing strategy and the compression-based strategy. Under the former strategy, each user's message is multicast from the central processor (CP) to all the serving remote radio heads (RRHs) over the fronthaul network, which then cooperatively serve the users through joint beamforming; while under the latter strategy, the user messages are first beamformed then quantized at the CP, and the compressed signal is unicast to the corresponding RRH, which then decompresses its received signal for wireless transmission. Previous works show that in general the compression-based strategy outperforms the data-sharing strategy. This paper, on the other hand, points out that in a C-RAN model where the RRHs are connected to the CP via multihop routers, data-sharing can be superior to compression if the network coding technique is adopted for multicasting user messages to the cooperating RRHs, and the RRH's beamforming vectors, the user-RRH association, and the network coding design over the fronthaul network are jointly optimized based on the techniques of sparse optimization and successive convex approximation. This is in comparison to the compression-based strategy, where information is unicast over the fronthaul network by simple routing, and the RRH's compression noise covariance and beamforming vectors, as well as the routing strategy over the fronthaul network are jointly optimized based on the successive convex approximation technique. The observed gain in overall network throughput is due to that information multicast is more efficient than information unicast over the multihop fronthaul of a C-RAN.
机译：在云无线电接入网络（C-RAN）的下行链路通信中，存在两种根本不同的前传技术：数据共享策略和基于压缩的策略。在前一种策略下，每个用户的消息都通过前传网络从中央处理器（CP）组播到所有服务的远程无线电头（RRH），然后通过联合波束成形为用户提供协作服务；在后一种策略下，首先对用户消息进行波束成形，然后在CP处进行量化，然后将压缩后的信号单播到相应的RRH，然后再对相应的RRH进行解压缩以进行无线传输。先前的工作表明，通常，基于压缩的策略要优于数据共享策略。另一方面，本文指出，在RRH通过多跳路由器连接到CP的C-RAN模型中，如果采用网络编码技术将用户消息多播到网络，则数据共享可能优于压缩。基于稀疏优化和连续凸逼近技术，共同优化了RRH的协同工作，以及RRH的波束成形向量，用户-RRH关联和前传网络上的网络编码设计。这与基于压缩的策略相比，在压缩策略中，信息是通过简单路由在前传网络上进行单播的，而RRH的压缩噪声协方差和波束成形矢量以及前传网络上的路由策略是基于连续的联合优化的凸近似技术。观察到的总体网络吞吐量提高是由于信息多播比通过C-RAN的多跳前传进行的单播信息更有效。

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