無線電存取網路虛擬化旨為將基礎建設與無線電資源的抽象化與共享化, 其實現軟體無線電技術,將基地台區分為硬體遠端射頻 RRH 與軟體基頻元件 BBU,可以大幅地降低佈署與營運的成本、節約能源並且提高資源使用效率,故 其為達成 5G 行動通訊網路高效率與低延遲之嚴格要求的關鍵技術,而 5G 新 無線電中,3GPP 又將 eNB 分割成 CU (Centralized Unit) 與 DU (Distributed Unit) 兩個部分,希望能增加網路流量處理速度與網路頻寬和降低網路延遲。 本論文針對集中式無線電存取網路虛擬化,利用 USRP 硬體,結合開源軟體 OpenAirInterface,並且導入開源容器技術 Docker,且利用 Kubernetes 進 行管理,實作可攜、低價且節能的 5G 無線電存取網路虛擬化測試平台,完整地包含 BBU 資源池、與核心網路等元件。在此測試平台中,我們透過 Kubernetes 管理輕量化的 Docker 動態開關容器而能有效率地配置 BBU 給 RRH;降低佈署 成本與提高使用效率。整體規劃不僅將探討滿足 5G 行動通訊技術所需的關鍵特 性,並在此測試平台上試驗各種可能的解法與可行性。

Radio access network virtualization, its main concept is to abstract and share infrastructure the radio resources. To implement the software radio technology, the base station is splitted into a hardware remote radio frequency RRH and a software base frequency component BBU, which can significantly reduce the cost of deployment and operation, save energy and improve resource efficiency. Therefore, it is a key technology to achieve the strict requirements of 5G mobile communication network with high efficiency and low latency. And in the 5G new radio, 3GPP further splits the eNB into two parts: CU (Centralized Unit) and DU (Distributed Unit), which hope to increase network traffic processing speed, network bandwidth and reduce network latency.
Our paper addresses the virtualization of centralized radio access networks, use USRP hardware and combined with OpenAirInterface, which is the open source software, and use Docker, which is open source container technology, we also use Kubernetes for management, implement a portable, low-cost and energy-efficient 5G radio access network virtualization experiment platform, which is completely includes components such as the BBU resource pool and the core network.
In our experiment platform, we manage lightweight Docker through Kubernetes, and dynamically switch containers to efficiently configure BBUs to RRHs, which will reduce deployment costs and increase efficiency. The overall plan will not only explore the key features needed to meet 5G mobile communication technologies, also experiment various possible solutions and feasibility on our experiment platform.

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