The radio access network (RAN) part of the next-generation wireless networks will require efficient solutions for satisfying low latency and high-throughput services. The open RAN (O-RAN) is one of the candidates to achieve this goal, in addition to increasing vendor diversity and promoting openness. In the O-RAN architecture, network functions are executed in central units (CU), distributed units (DU), and radio units (RU). These entities are virtualized on general-purpose CPUs and form a processing pool. These processing pools can be located in different geographical places and have limited capacity, affecting the energy consumption and the performance of networks. Additionally, since user demand is not deterministic, special attention should be paid to allocating resource blocks to users by ensuring their expected quality of service for latency-sensitive traffic flows. In this paper, we propose a joint optimization solution to enhance energy efficiency and provide delay guarantees to the users in the O-RAN architecture. We formulate this novel problem and linearize it to provide a solution with a mixed-integer linear problem (MILP) solver. We compare this with a baseline that addresses this optimization problem using a disjoint approach. The results show that our approach outperforms the baseline method in terms of energy efficiency.
翻译:下一代无线网络的无线电接入网络(RAN)部分需要高效的解决方案,以满足低延迟和高通量服务。开放的RAN(O-RAN)是实现这一目标的候选者之一,除了提高供应商的多样性和促进开放性之外,开放的RAN(O-RAN)也是实现这一目标的候选者之一。在O-RAN结构中,网络功能由中央单位(CU)、分配单位(DU)和无线电单位(RU)执行。这些实体在通用CPU上虚拟化,形成一个处理池。这些处理池可以位于不同的地理位置,能力有限,影响能源消耗和网络的运行。此外,由于用户的需求不是决定性的,因此应当特别注意向用户分配资源区,确保他们对耐用敏度敏感的交通流动的预期服务质量。在本文件中,我们提出一个联合优化解决方案,以提高能效,并为O-RAN结构的用户提供延迟保证。我们提出这个新问题,并将它线性化,以混合的线性问题(MILP)解决方案提供解决方案,从而影响能源消耗量和网络的运行情况。我们用一个基线来比较这个方法解决这一优化问题。我们的方法显示效率的方法。