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Cost- and energy-aware multi-flow mobile data offloading under time dependent pricing

机译:基于时间的定价下具有成本和能源意识的多流移动数据卸载

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Nowadays, mobile network operators (MNOs) are trying to deploy wireless local area network (LAN) to offload mobile data from their cellular networks to complementary wireless LAN for congestion relief and cost savings. However, these network-centric methods do not take into consideration mobile user's (MU's) interests of monetary cost, energy consumption, and applications' deadlines. How the MU decides whether to offload their traffic to a complementary wireless LAN is non-trivial and important issue. Previous studies assume that MNO adopts usage-based pricing for mobile data, which only cares about how much a MU consumes data but not when a MU consumes data. In this paper, we study the MU's policy to minimize his monetary cost and energy consumption under time-dependent pricing (TDP). We formulate MU's wireless LAN offloading problem as a finite-horizon discrete-time Markov decision process (MDP) and establish an optimal policy by a dynamic programming based algorithm. Extensive simulations are conducted to validate our proposed offloading algorithm.
机译:如今,移动网络运营商(MNO)试图部署无线局域网(LAN),以将移动数据从其蜂窝网络转移到互补的无线LAN,以缓解拥塞并节省成本。但是,这些以网络为中心的方法没有考虑移动用户(MU)的货币成本,能耗和应用程序截止日期的利益。 MU如何决定是否将其流量分流到互补的无线LAN是不平凡且重要的问题。先前的研究假设MNO对移动数据采用基于使用情况的定价,该定价仅关心MU消耗数据的量,而不关心MU消耗数据的时间。在本文中,我们研究了按时间定价(TDP)时MU的货币政策和能耗最小化的政策。我们将MU的无线局域网卸载问题表述为有限水平离散时间马尔可夫决策过程(MDP),并通过基于动态规划的算法来建立最佳策略。进行了广泛的仿真以验证我们提出的卸载算法。

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