New applications in 5G networks are becoming very popular, and internet service providers (ISPs) may take the opportunity to provide various services to their clients. Today, one of the challenging problems facing ISPs is how the profitability can be increased while maintaining an excellent network performance. In this work, we seek to understand the fundamental issues on interactions among ISPs, and design a novel inter-ISP traffic control scheme to take full advantage of network resource sharing. Our approach explores the impact of ISP peering relationship and bandwidth allocation to maximize the total system revenue. Specifically, we identify the special properties of ISPs’ interactions, and employ the concept of Yu bargaining solutions to address the ISP traffic control problem. This bargaining approach minimizes the Euclidean distance between the ISP’s utopia payoff and the feasible solution set to provide a fair-efficient solution. The main novelty of our proposed scheme adaptively handling contradictory requirements while maximizing the network performance. To verify the benefits of our idea, we show the correctness of our scheme through carrying out extensive simulation experiments. Finally, several research challenges are discussed and open issues are also outlined.

中文翻译：

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基于讨价还价博弈的协作式ISP间流量控制方案

5G网络中的新应用正变得非常流行，互联网服务提供商（ISP）可能会借此机会为其客户提供各种服务。如今，ISP面临的挑战性问题之一是如何在保持出色网络性能的同时提高盈利能力。在这项工作中，我们试图了解有关ISP之间交互的基本问题，并设计一种新颖的ISP间流量控制方案，以充分利用网络资源共享的优势。我们的方法探讨了ISP对等关系和带宽分配的影响，以最大程度地提高系统总收入。具体来说，我们确定ISP交互的特殊属性，并采用Yu讨价还价解决方案的概念来解决ISP流量控制问题。这种讨价还价的方法使ISP的乌托邦收益与可行的解决方案集之间的欧几里德距离最小化，以提供公平有效的解决方案。我们提出的方案的主要新颖之处在于在最大程度地提高网络性能的同时自适应地处理矛盾的需求。为了验证我们的想法的好处，我们通过进行大量的仿真实验来证明我们方案的正确性。最后，讨论了一些研究挑战并概述了未解决的问题。