5G低容量设备:控制信道阻塞概率分析

Saeedeh Moloudi, Mohammad Mozaffari, Kittipong Kittichokechai, A. Höglund, Sandeep Narayanan Kadan Veedu, Y.-P. Eric Wang, Johan Bergman
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引用次数: 0

摘要

第五代无线技术主要用于解决广泛的用例,主要分为增强型移动宽带,超可靠和低延迟通信以及大规模机器类型通信部分。为了有效地服务于其他一些需求介于这些主要用例之间的用例,Rel-17中的第三代合作伙伴项目(3GPP)引入了对被称为RedCap的低功能新无线电(NR)设备的支持,与传统5G设备相比,它的成本和复杂性更低。考虑的复杂性降低技术与物理信道的链路性能和覆盖下降有关。特别是对于需要仔细考虑的物理下行控制信道(PDCCH),降低用户设备(ue)的复杂性和相应的覆盖损失会导致PDCCH阻塞概率的增加。这反过来又会影响延迟或网络容量,具体取决于场景。在本文中,我们研究了RedCap设备的PDCCH阻塞概率度量。具体来说,我们根据用户数量、下行控制信息的大小、控制资源集的大小和PDCCH候选数量等各种参数来评估阻塞概率的性能。研究结果表明,通过减少天线支路数量、减少PDCCH候选数量、减少控制资源集以及增加调度终端数量,可以提高PDCCH阻塞概率。我们还表明减小DCI大小对PDCCH阻塞概率的影响是边际的。最后,我们讨论了降低PDCCH阻塞概率的潜在解决方案和设计指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
5G Reduced Capability Devices: Analysis of Blocking Probability for Control Channels
The fifth-generation wireless technology is primarily designed to address a wide range of use cases mainly categorized into the enhanced mobile broadband, ultra-reliable and low-latency communication, and massive machine-type communication segments. To efficiently serve some other use cases whose requirements lie in-between these main use cases, the 3rd generation partnership project (3GPP), in Rel-17, introduce support for the reduced capability new radio (NR) devices known as RedCap with lower cost and complexity compared to legacy 5G devices. The considered complexity reduction techniques are associated with degraded link performance and coverage for the physical channels. Particularly, for the physical downlink control channel (PDCCH), which requires careful consideration, the reduction of the user equipments’ (UEs) complexity and the associated coverage loss can lead to an increase in the PDCCH blocking probability. This, in turn, can impact either the latency or the network capacity depending on the scenario. In this paper, we investigate the PDCCH blocking probability metric for RedCap devices. Specifically, we evaluate the performance of blocking probability in terms of various parameters including the number of users, size of downlink control information, size of control resource set, and the number of PDCCH candidates. Our results demonstrate that the PDCCH blocking probability increases by reducing the number of antenna branches, the number of PDCCH candidates, control resource set, and by increasing the number of scheduled UEs. We also show that the impact of reducing the DCI size is marginal on the PDCCH blocking probability. Finally, we discuss potential solutions and design guidelines for reducing the PDCCH blocking probability.
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