QoE-Aware Resource Allocation for Profit Maximization Under User Satisfaction Guarantees in HetNets With Differentiated Services
QoE-Aware Resource Allocation for Profit Maximization Under User Satisfaction Guarantees in HetNets With Differentiated Services
复制标题
在具有差异化服务的异构网络中，在用户满意度保证下实现利润最大化的 QoE 感知资源分配
DOI：
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发表时间：
2019
影响因子：
4.4
通讯作者：
C. Verikoukis
中科院分区：
文献类型：
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作者：
Panagiotis Trakas;F. Adelantado;C. Verikoukis
过去几年，第三方内容提供商的崛起和众多应用程序的推出推动了移动数据流量的增长。应用程序的各种服务质量要求以及每个用户使用多个设备增加了流量异构性，迫使电信行业部署密集异构网络（HetNet）。与此同时，内容提供商的崛起也导致移动网络运营商（MNO）收入下降。在这种情况下，MNO需要保证用户的体验质量（QoE）要求，同时确保HetNet投资的可持续性。为此，我们考虑采用 HetNet 部署，其中 MNO 提供多种定价不同的服务。我们提出了一种启发式、贪婪和 QoE 感知的资源分配算法，具有公平性和总体用户满意度约束，以最大化 MNO 利润，同时提供高 QoE。仿真结果表明，与最先进的算法相比，所提出的算法可以通过实现可观的利润和 QoE 增益来处理流量异构性。
The rise of third-party content providers and the introduction of numerous applications have been driving the growth of mobile data traffic in the past few years. The applications’ various quality of service requirements as well as the use of multiple devices per user have increased the traffic heterogeneity, pressing the telecommunications industry to the deployment of dense heterogeneous networks (HetNets). At the same time, the rise of the content providers has also led to the decrease of the mobile network operators’ (MNOs) revenues. Under these circumstances, the MNOs need to guarantee the users’ quality of experience (QoE) requirements, while ensuring the sustainability of HetNet investments. To this end, we consider a HetNet deployment where MNOs offer a multitude of services with diverse pricing. We propose a heuristic, greedy, and QoE-aware resource allocation algorithm with fairness and overall user satisfaction constraints to maximize the MNO profit, while providing high QoE. Simulation results show that the proposed algorithm can handle traffic heterogeneity by achieving substantial profit and QoE gains, compared to state-of-the-art algorithms.