Next-generation mobile connectivity services include a large number of devices distributed across vast geographical areas. Mobile network operators will need to collaborate to fulfill service requirements at scale. Existing approaches to multi-operator services assume already-established collaborations to fulfill customer service demand with specific quality of service (QoS). In this paper, we propose an agent-based architecture, where establishment of collaboration for a given connectivity service is done proactively, given predictions about future service demand. We build a simulation environment and evaluate our approach with a number of scenarios and in context of a real-world use case, and compare it with existing collaboration approaches. Results show that by learning how to adapt their collaboration strategy, operators can fulfill a greater part of the service requirements than by providing the service independently, or through pre-established, intangible service level agreements.

中文翻译：

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用于移动运营商协作的深度Q学习方法

下一代移动连接服务包括分布在广阔地理区域中的大量设备。移动网络运营商将需要协作以大规模满足服务需求。现有的多运营商服务方法假定已经建立协作，以特定的服务质量（QoS）满足客户服务需求。在本文中，我们提出了一种基于代理的体系结构，其中根据对未来服务需求的预测，可以主动地为给定的连接服务建立协作。我们构建了一个模拟环境，并在实际场景中结合多种场景和方法评估了我们的方法，并将其与现有的协作方法进行了比较。结果表明，通过学习如何适应他们的协作策略，