The join collaborative data offloading and distributed channel selection in wireless networks
The join collaborative data offloading and distributed channel selection in wireless networks
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DOI：
10.1109/wcsp.2016.7752673
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
Ze Jiang;Dapeng Li;Bo Huang;Feng Tian;Haitao Zhao
中科院分区：
文献类型：
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作者：
Ze Jiang;Dapeng Li;Bo Huang;Feng Tian;Haitao Zhao
数据卸载对于移动终端 (MT) 来说是一种很有前途的技术，可以在无线网络中节省能源。该技术使 MT 通过将计算密集型任务卸载到云端来支持大量数据流量。然而，由于上行链路传输较长，数据卸载可能会导致不必要的能量使用。在本文中，我们提出了一种针对 MT 进行通道选择的联合协作数据卸载框架，其中 MT 可以首先形成联盟，然后以协作方式执行数据卸载。我们采用博弈论将问题表述为合作博弈。然后我们证明所制定的博弈是一个潜在博弈并且可以达到纳什均衡。采用马尔可夫近似方法设计了游戏的分布式信道选择算法，使得每个MT能够自组织稳定，无需全网信息交换。分析和数值结果表明，与传统的集中式优化解决方案相比，该算法是可行且高效的。
Data offloading is a promising technique for mobile terminals (MTs) for conserving energy in wireless networks. This technique enables MTs to support heavy data traffic by offloading computation-intensive tasks to the cloud. However, due to the long transmission up-link, data offloading may lead to unnecessary energy usage. In this paper, we propose a joint collaborative data offloading framework with channel selection for MTs, in which MTs can first form a coalition and then execute data offloading in a cooperative way. We adopt game theory to formulate the problem as a cooperation game. We then prove that the formulated game is a potential game and can achieve Nash equilibrium. A Markov approximation approach is applied to design a distributed channel selection algorithm for the game so that each MT can self-organize into stability without information exchange across the whole network. Analytical and numerical results show that the algorithm is feasible and efficient in comparison to traditional centralized optimization solutions.