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A game theoretic approach for energy-efficient communications in multi-hop cognitive radio networks

机译:多跳认知无线电网络中节能通信的博弈论方法

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In multi-hop cognitive radio networks, it is a challenge to improve the energy efficiency of the radio nodes. To address this challenge, in this paper, we propose a two-level Stackelberg game model, where the primary users and the secondary users act as the leaders and the followers, respectively. Based on the game model, our proposed scheme not only considers the power allocation problem for secondary users but also takes into account the price of spectrum. First, we give the cognitive radio network model, and show how to set up the game theoretic model in multi-hop cognitive radio networks. We then analyze this problem and show the existence and uniqueness of the Nash equilibrium point for the game. We also study the impact of the spectrum price of the primary users in the cognitive radio network and study how to select the best price for the primary users to maximize their own profit. Finally, we implement simulations to show the performance of our schemes. Our work gives an insight on how to improve the energy efficiency and allocate spectrum resources in multi-hop cognitive radio networks. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:在多跳认知无线电网络中,提高无线电节点的能量效率是一个挑战。为了解决这一挑战,在本文中,我们提出了一个两级Stackelberg游戏模型,其中主要用户和次要用户分别充当领导者和跟随者。基于博弈模型,我们提出的方案不仅考虑了二级用户的功率分配问题,还考虑了频谱价格。首先,我们给出认知无线电网络模型,并展示如何在多跳认知无线电网络中建立博弈论模型。然后,我们分析此问题并显示游戏纳什均衡点的存在和唯一性。我们还研究了认知无线电网络中主要用户频谱价格的影响,并研究了如何为主要用户选择最佳价格以最大程度地提高自己的利润。最后,我们进行仿真以显示我们的方案的性能。我们的工作为如何提高能量效率和在多跳认知无线电网络中分配频谱资源提供了见识。版权所有(c)2016 John Wiley&Sons,Ltd.

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