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Robust Layered Transmission and Compression for Distributed Uplink Reception in Cloud Radio Access Networks

机译:云无线电接入网络中用于分布式上行链路接收的鲁棒分层传输和压缩

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摘要

In the uplink of cloud radio access networks, each base station (BS) compresses the received signal before transmission to the cloud decoder via capacity-limited backhaul links. A major issue in designing the transmission strategy at the mobile stations (MSs) and the compression strategies is the lack of channel state information (CSI) relative to the signal received by BSs in other cells. To tackle this problem, this paper proposes layered transmission and compression strategies that aim at opportunistically leveraging more advantageous channel conditions to neighboring BSs. A competitive robustness criterion is adopted, which enforces the constraint that a fraction of the rate that is achievable when the CSI is perfectly known to the MSs and the BS in the cell under study should be attained also in the absence of CSI. Under competitive robustness and backhaul capacity constraints, the problem is formulated as the minimization of the transmit power. Extensive numerical results confirm the effectiveness of the proposed approaches.
机译:在云无线电接入网络的上行链路中,每个基站(BS)在通过容量受限的回程链路传输到云解码器之前压缩接收到的信号。在移动站(MS)上设计传输策略和压缩策略时的主要问题是,相对于其他小区中BS接收的信号而言,缺少信道状态信息(CSI)。为了解决这个问题,本文提出了分层的传输和压缩策略,旨在机会性地利用更有利的信道条件到邻近的BS。采用竞争性鲁棒性准则,该准则强加了以下约束:在不存在CSI的情况下,也应在所研究的小区中MS和BS完全知道CSI时可以达到的速率的一部分。在竞争性鲁棒性和回程容量约束下,将问题表述为发射功率的最小化。大量的数值结果证实了所提出方法的有效性。

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