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首页> 外文期刊>International journal of communication systems >Energy-efficient resource allocation for device-to-device communication through noncooperative game theory
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Energy-efficient resource allocation for device-to-device communication through noncooperative game theory

机译:通过非合作博弈理论进行设备间通信的节能资源分配

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Wireless network with high data rate applications has seen a rapid growth in recent years. This improved quality of service (QoS) leads to huge energy consumption in wireless network. Therefore, in order to have an energy-efficient resource allocation in cellular system, a device-to-device (D2D) communication is the key component to improve the QoS. In this paper, we propose a noncooperative game (NCG) theory approach for resource allocation to improve energy efficiency (EE) of D2D pair. A three-tier network with macrocell base station (MBS), femtocell base station (FBS), and D2D pair is considered, which shares the uplink resource block. A resource allocation strategy with constraints is arrived, which maintains minimum throughput for each user in the network. The proposed resource allocation strategy optimizes the EE of D2D pair in the three-tier network, which achieves Nash equilibrium (NE) and Pareto optimality (PO). Simulation results validate that EE is uniform and optimum for all D2D pair, which converges to NE when channel is static and it converges to PO when the channel is dynamic.
机译:近年来,具有高数据速率应用的无线网络迅速发展。这种提高的服务质量(QoS)导致无线网络中的巨大能耗。因此,为了在蜂窝系统中进行节能的资源分配,设备到设备(D2D)通信是提高QoS的关键组成部分。在本文中,我们提出了一种用于资源分配的非合作博弈(NCG)理论方法,以提高D2D对的能源效率(EE)。考虑具有宏小区基站(MBS),毫微微小区基站(FBS)和D2D对的三层网络,该网络共享上行链路资源块。到达了具有约束的资源分配策略,该策略为网络中的每个用户维持最小的吞吐量。所提出的资源分配策略优化了三层网络中D2D对的EE,从而实现了纳什均衡(NE)和帕累托最优(PO)。仿真结果验证了EE对于所有D2D对都是均匀且最优的,当通道为静态时会收敛到NE,而当通道为动态时会收敛到PO。

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