The fifth-generation of mobile radio technologies is expected to be agile, flexible, and scalable while provisioning ultra-reliable and low-latency communication (uRLLC), enhanced mobile broadband (eMBB), and massive machine type communication (mMTC) applications. An efficient way of implementing these is by adopting cloudification, network function virtualization, and network slicing techniques with open-radio access network (O-RAN) architecture where the base-band processing functions are disaggregated into virtualized radio unit (RU), distributed unit (DU), and centralized unit (CU) over front/mid-haul interfaces. However, cost-efficient solutions are required for designing front/mid-haul interfaces and time-wavelength division multiplexed (TWDM) passive optical network (PON) appears as a potential candidate. Therefore, in this paper, we propose a framework for the optimal placement of RUs based on long-term network statistics and connecting them to open access-edge servers for hosting the corresponding DUs and CUs over front/mid-haul interfaces while satisfying the diverse QoS requirements of uRLLC, eMBB, and mMTC slices. In turn, we formulate a two-stage integer programming problem and time-efficient heuristics for users to RU association and flexible deployment of the corresponding DUs and CUs. We evaluate the O-RAN deployment cost and latency requirements with our TWDM-PON-based framework against urban, rural, and industrial areas and show its efficiency over the optical transport network (OTN)-based framework.
翻译:第五代移动无线电技术可望灵活、灵活和可扩展,同时提供超可靠和低时空通信(URLLC)、增强移动宽带(EMBB)和大规模机器型通信(MMTC)应用,实施这些技术的一个有效办法是采用云化、网络功能虚拟化和网络剪切技术以及开放无线电接入网络(O-RAN)结构,将基地带处理功能分解成虚拟化无线电股(RU)、分配单位(DU)和中央单位(CU),用于前方/中方界面,但设计前方/中方界面和超时波截面多车(TWDMM)被动光学网络(PON)应用。 因此,在本文件中,我们提出一个框架,根据长期网络统计数据优化路标定位,将其连接到开放端服务器,以托管相应的DUDU和C在前方/中方界面的中央单位和中央单位(CUMU-MLM-M-M-ML-ML-R-ML-ML-S-ML-S-S-S-S-ROD-R-R-R-R-R-SL-R-R-SL-S-S-SL-S-S-Sl-SLSLSLSL-S-S-S-S-R-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-SL-SL-SL-SL-SL-S-S-S-S-S-SL-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-SL-SL-SL-SL-SL-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S