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. These are implemented by adopting cloudification, network function virtualization, and network slicing techniques in open-radio access network (O-RAN) architecture where remote radio heads (RRHs) are connected to dis-aggregated virtual base-band units (BBUs), i.e., 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:移动无线电技术第五代的移动无线电技术第五代预计将具有灵活性、灵活性和可扩展性,同时在前/中-中界面上提供超可靠和低延迟通信(URLLC)、增强移动宽带(EMBB)和大规模机器型通信(MMTC)应用,实施这些应用的方法是采用云化、网络功能虚拟化和开放无线电接入网络(O-RAN)架构中的网络剪切技术,远程无线电头(RRRH)与分散式虚拟基段单位(BBBBUs)连接,同时在前/中/中界面上提供超可靠和低延迟的超弹性通信(URU)、分配单位(DU)和中央单位(CUU);然而,在设计前/中接口和时波多分(TWDMM)被动光网络(PON)时,采用成本效率高的方法,将远程无线电头、网络(RUHT)与长期网络统计数据挂钩,并连接到公开的接入服务器,以托管相应的DU和C(RU-RU-LMM)用户在前/中、MDF-ML),在前/MDF-M-M-M-M-M-M-M-M-R-R-R-R-R-R-R-R-R-R-R-R-R-R-R-R-R-L-L-L-L-R-R-L-L-L-L-L-L-L-L-L-L-L-L-L-L-S-S-S-S-L-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-T-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-S-S-S-S-S-S-S-S-S-S-