The integration of a broadcast oriented RAN architecture into a convergent framework for heterogeneous networks offers two major contributions. On the one hand, it presents an interesting solution to satisfy the exponential growth of the mobile video data traffic, and on the other hand, it is also identified as a promising key technology, that can contribute to improve the energy efficiency of 5G networks. This work proposes a novel Convergent Architecture for Broadcast, Broadband and Cellular services (CABS). This architecture is complemented with the Performance and Energy-aware Access (PEC) network selection algorithm. This joint solution offers a balanced trade-off between the user perceived QoS and the network energy efficiency in challenging heterogeneous scenarios. Furthermore, this approach guarantees the broadcast service continuity in harsh environments, and therefore, is helpful in one of the most critical scenarios for broadcasting industry: mobile and indoor reception. The proposed solution was modelled and tested in Network Simulator version 3 (NS-3), in which among other updates, a first version of an ATSC 3.0 model was introduced.

中文翻译：

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用于 5G 异构网络环境中性能和能量感知融合的基于实用程序的框架

将面向广播的 RAN 架构集成到异构网络的融合框架中有两个主要贡献。一方面，它提出了一个有趣的解决方案来满足移动视频数据流量的指数增长，另一方面，它也被认为是一项有前途的关键技术，可以有助于提高 5G 网络的能源效率。这项工作为广播、宽带和蜂窝服务 (CABS) 提出了一种新颖的融合架构。该架构与性能和能量感知接入 (PEC) 网络选择算法相辅相成。这种联合解决方案在具有挑战性的异构场景中提供了用户感知 QoS 和网络能源效率之间的平衡权衡。此外，这种方法保证了恶劣环境下广播服务的连续性，因此在广播行业最关键的场景之一：移动和室内接收中很有帮助。提议的解决方案在网络模拟器版本 3 (NS-3) 中进行建模和测试，其中引入了 ATSC 3.0 模型的第一个版本。