The recent growth in both number of high specification mobile devices and network multimedia data demand, has made difficult supporting access to the multimedia content at high user Quality of Experience (QoE) levels. It is even more challenging to support offering such services adjusted to user specific requirements in current heterogeneous wireless network environments (HWNE). This paper proposes a novel Prioritized Adaptive Real-time Multi-user Access Network Selection framework (P-ARMANS) which employs a Markov Decision Process (MDP) solution to perform improved bandwidth resource allocation. P-ARMANS enables load balancing during multimedia delivery when users with diverse priority and different device screen resolutions access various services. Modeling and simulations show how P-ARMANS distributes content with different types of traffic and load among typical and business users at higher QoE levels compared to a classic no-priority approach.

中文翻译：

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一种新的基于马尔可夫决策过程的改进质量优先视频交付解决方案

近期高规格移动设备数量和网络多媒体数据需求的增长使得支持以高用户体验质量 (QoE) 级别访问多媒体内容变得困难。在当前的异构无线网络环境 (HWNE) 中，支持提供根据用户特定要求调整的此类服务更具挑战性。本文提出了一种新颖的优先化自适应实时多用户接入网络选择框架 (P-ARMANS)，它采用马尔可夫决策过程 (MDP) 解决方案来执行改进的带宽资源分配。当具有不同优先级和不同设备屏幕分辨率的用户访问各种服务时，P-ARMANS 可以在多媒体交付期间实现负载平衡。