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Game theoretical approach of downlink resource allocation in 5G wireless fusion networks

机译:5G无线融合网络中下行资源分配的博弈论方法

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The wireless networks are requiring higher transmission speed and more reliable QoS, especially the 5G systems. Different network providers will run different quality of transmission services and the user could choose the suitable set. In this work, considering the varieties of transmission types and price, we propose a novel game theoretical solution of downlink resource allocation, the fusion of different types of transmission could significantly reduce the transmission price under the constraint of system Quality of Service (QoS). Simulation results prove the fact that by using our proposed game theoretical method, the price of the downlink transmission could be reduced up to 37% under the constraint of QoS, the expense is the time consumption and the signal processing delay.
机译:无线网络要求更高的传输速度和更可靠的QoS,尤其是5G系统。不同的网络提供商将运行不同质量的传输服务,用户可以选择合适的集合。在这项工作中,考虑到传输类型和价格的多样性,我们提出了一种新的博弈理论的下行资源分配的博弈解决方案,在系统服务质量(QoS)的约束下,不同类型传输的融合可以显着降低传输价格。仿真结果表明,利用我们提出的博弈论方法,在QoS的约束下,下行传输的价格可以降低到37%,代价是时间消耗和信号处理时延。

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