AI 中文总结
针对多租户卫星O-RAN服务的资源分配问题，本文提出联合定价与预留容量规划的交替优化方案，实现近最优利润、高效运行及可靠SLA满足，提升资源利用率。
AI 中文摘要
本文研究卫星开放无线接入网（O-RAN）批发场景下的多租户资源分配问题，其中异构业务类别在有限规划周期内共享时变的有限卫星容量。我们从服务提供商的视角构建了联合定价与预留容量分配问题，租户特定需求具有价格弹性，且随机服务需求受严格的服务水平协议（SLA）约束，形成了经济与可靠性驱动的耦合瓶颈。采用确定性重构方法，通过可处理的余量约束近似概率性SLA需求，实现全周期合同价格与时变预留容量的协同控制。由于租户、时间窗口及服务类别间决策相互依赖，所得问题为非凸问题。为解决该问题，开发了交替优化（AO）方案，将定价与分配决策分离，同时保持可行性与SLA保证。数值结果表明，所提方法实现的利润接近全局基准的约1%，同时运行时间最多缩短22倍；相比之下，所考虑的基准方案要么产生超过15%的利润损失，要么无法满足SLA约束。所提方法始终保持非正的经验SLA差距，且资源利用率比无自适应预留控制的定价优化基准最高提升30%。这些结果表明，联合经济与资源控制使提供商能够高效利用稀缺的卫星网络容量，实现可靠的服务交付与可扩展的计算。
英文摘要
This paper studies a multi-tenant resource allocation problem in a satellite open radio access network (O-RAN) wholesale setting, where heterogeneous traffic classes share a time-varying limited satellite capacity over a finite planning horizon. We formulate a joint pricing and reserve allocation problem from a service provider perspective, where tenant-specific demand exhibits price elasticity and stochastic service requirements subject to strict service-level agreement (SLA) constraints, leading to a coupled economic and reliability-driven bottleneck. A deterministic reformulation is adopted to approximate probabilistic SLA requirements through tractable margin constraints, enabling coordinated control of horizon-wide contract prices and time-varying reserves. The resulting problem is non-convex due to interdependent decisions across tenants, time windows, and service classes. To address this, an alternating optimization (AO) scheme is developed separating pricing and allocation decisions while preserving feasibility and SLA guarantees. Numerical results show that the proposed method achieves near-optimal profit within approximately $1\%$ of a global benchmark, while reducing runtime by up to $22\times$. In contrast, considered baseline schemes incur profit losses exceeding $15\%$ or fail to satisfy SLA constraints. The proposed approach consistently maintains non-positive empirical SLA gaps and achieves up to $30\%$ higher resource utilization than a price-optimization baseline without adaptive reserve control. These results demonstrate that joint economic and resource control enables the provider to efficiently exploit scarce satellite network capacity with reliable service delivery and scalable computation.
CommentsAccepted in GLOBECOM 2026
