Consider an uplink cloud radio access network where users are observed simultaneously by several base stations, each with a rate-limited link to a central processor, which wishes to decode all transmitted messages. Recent efforts have demonstrated the advantages of compression-based strategies that send quantized channel observations to the central processor, rather than attempt local decoding. We study the setting where channel state information is not available at the transmitters, but known fully or partially at the base stations. We propose an end-to-end integer-forcing framework for compression-based uplink cloud radio access, and show that it operates within a constant gap from the optimal outage probability if channel state information is fully available at the base stations. We demonstrate via simulations that our framework is competitive with state-of-the-art Wyner-Ziv-based strategies.

中文翻译：

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上行链路云无线接入网络的整数强制架构


考虑一个上行链路云无线接入网络，其中多个基站同时观察用户，每个基站都具有到中央处理器的速率受限链路，中央处理器希望解码所有传输的消息。最近的努力已经证明了基于压缩的策略的优势，该策略将量化的通道观察结果发送到中央处理器，而不是尝试本地解码。我们研究了信道状态信息在发射机处不可用但在基站处完全或部分已知的设置。我们提出了一种用于基于压缩的上行链路云无线接入的端到端整数强制框架，并表明，如果信道状态信息在基站完全可用，则该框架在距最佳中断概率恒定的间隙内运行。我们通过模拟证明我们的框架与最先进的基于 Wyner-Ziv 的策略具有竞争力。