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Leveraging Quantum Annealing for Large MIMO Processing in Centralized Radio Access Networks
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-01-12 , DOI: arxiv-2001.04014
Minsung Kim, Davide Venturelli, Kyle Jamieson

User demand for increasing amounts of wireless capacity continues to outpace supply, and so to meet this demand, significant progress has been made in new MIMO wireless physical layer techniques. Higher-performance systems now remain impractical largely only because their algorithms are extremely computationally demanding. For optimal performance, an amount of computation that increases at an exponential rate both with the number of users and with the data rate of each user is often required. The base station's computational capacity is thus becoming one of the key limiting factors on wireless capacity. QuAMax is the first large MIMO centralized radio access network design to address this issue by leveraging quantum annealing on the problem. We have implemented QuAMax on the 2,031 qubit D-Wave 2000Q quantum annealer, the state-of-the-art in the field. Our experimental results evaluate that implementation on real and synthetic MIMO channel traces, showing that 10~$\mu$s of compute time on the 2000Q can enable 48 user, 48 AP antenna BPSK communication at 20 dB SNR with a bit error rate of $10^{-6}$ and a 1,500 byte frame error rate of $10^{-4}$.

中文翻译:

在集中式无线电接入网络中利用量子退火进行大型 MIMO 处理

用户对不断增加的无线容量的需求继续超过供应,因此为了满足这一需求,新的 MIMO 无线物理层技术取得了重大进展。更高性能的系统现在仍然不切实际,主要是因为它们的算法对计算的要求极高。为了获得最佳性能,通常需要随着用户数量和每个用户的数据速率以指数速率增加的计算量。因此,基站的计算能力正成为无线容量的主要限制因素之一。QuAMax 是第一个通过利用量子退火来解决这个问题的大型 MIMO 集中式无线电接入网络设计。我们已经在 2,031 量子比特 D-Wave 2000Q 量子退火炉上实施了 QuAMax,该领域的最先进技术。我们的实验结果评估了在真实和合成 MIMO 信道轨迹上的实现,表明 2000Q 上 10~$\mu$s 的计算时间可以支持 48 个用户、48 个 AP 天线的 BPSK 通信,信噪比为 20 dB,误码率为 10 美元^{-6}$ 和 $10^{-4}$ 的 1,500 字节帧错误率。
更新日期:2020-01-14
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