论文标题
工业物联网分布式大量MIMO系统中接收信号强度的统计分析
Statistical Analysis of Received Signal Strength in Industrial IoT Distributed Massive MIMO Systems
论文作者
论文摘要
无线网络的第五代(5G)引入了机器型通信(MTC)的本机支持,这是物联网(IoT)革命的关键推动力。当前的5G标准尚无法完全满足关键MTC(CMTC)和大规模MTC(MMTC)用例的要求。这是行业和学术界已经开始为超过5G和第六代(6G)网络开发技术解决方案的主要原因。已广泛研究的一种技术解决方案是网络致密化,大量多输入多输出(MMIMO)系统和以用户为中心的设计的组合,该系统被称为分布式MMIMO或无单元格(CF)MMIMO。在这个新的范式下,不再存在细胞边界:网络上的所有访问点(AP)合作以共同服务所有设备。在本文中,我们比较了传统MMIMO和不同分布式MMIMO设置的性能,并量化了它们提供的宏观多样性和信号空间多样性性能。针对工业室内场景的上行链路,我们采用了基于实际测量活动的路径损失模型。 Monte Carlo模拟结果表明,AP的网格部署可提供较高的平均通道增长,但是无线电条纹部署可提供较低的接收信号强度的可变性。
The Fifth Generation (5G) of wireless networks introduced native support for Machine-Type Communication (MTC), which is a key enabler for the Internet of Things (IoT) revolution. Current 5G standards are not yet capable of fully satisfying the requirements of critical MTC (cMTC) and massive MTC (mMTC) use cases. This is the main reason why industry and academia have already started working on technical solutions for beyond-5G and Sixth Generation (6G) networks. One technological solution that has been extensively studied is the combination of network densification, massive Multiple-Input Multiple-Output (mMIMO) systems and user-centric design, which is known as distributed mMIMO or Cell-Free (CF) mMIMO. Under this new paradigm, there are no longer cell boundaries: all the Access Points (APs) on the network cooperate to jointly serve all the devices. In this paper, we compare the performance of traditional mMIMO and different distributed mMIMO setups, and quantify the macro diversity and signal spatial diversity performance they provide. Aiming at the uplink in industrial indoor scenarios, we adopt a path loss model based on real measurement campaigns. Monte Carlo simulation results show that the grid deployment of APs provide higher average channel gains, but radio stripes deployments provide lower variability of the received signal strength.