Multiple concepts for future generations of wireless communication standards utilize coherent processing of signals from many distributed antennas. Names for these concepts include distributed MIMO, cell-free massive MIMO, XL-MIMO, and large intelligent surfaces. They aim to improve communication reliability, capacity, as well as energy efficiency and provide possibilities for new applications through joint communication and sensing. One such recently proposed solution is the concept of RadioWeaves. It proposes a new radio infrastructure for distributed MIMO with distributed internal processing, storage, and compute resources integrated into the infrastructure. The large bandwidths available in the higher bands have inspired much work regarding sensing in the mmWave- and sub-THz-bands, however, sub-6 GHz cellular bands will still be the main provider of broad cellular coverage due to the more favorable propagation conditions. In this paper, we present results from a sub-6 GHz measurement campaign targeting the non-stationary spatial channel statistics for a large RadioWeave and the temporal non-stationarity in a dynamic scenario with RadioWeaves. From the results, we also predict the possibility of multi-static sensing and positioning of users in the environment.

翻译：未来几代无线通信标准中的多种概念均利用分布式天线阵列对信号进行相干处理，这些概念包括分布式MIMO、无细胞大规模MIMO、超大规模MIMO以及大型智能表面。其目标在于提升通信可靠性、容量及能效，并通过通信与感知一体化赋予新型应用的可能性。近期提出的解决方案之一是RadioWeaves概念，该方案提出一种将分布式MIMO与内置分布式处理、存储及计算资源集成于基础设施中的新型无线电架构。尽管高频段可用的大带宽推动了毫米波与亚太赫兹频段感知技术的广泛研究，但由于更优的传播条件，6 GHz以下蜂窝频段仍将主导广域蜂窝覆盖。本文呈现了针对大型RadioWeave非平稳空间信道统计特性及含RadioWeaves动态场景中时域非平稳性的sub-6 GHz测量结果。基于这些结果，我们进一步预测了环境内多站感知与用户定位的可行性。