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A Multi-Leader Multi-Follower Stackelberg Game for Resource Management in LTE Unlicensed

机译:未经许可的LTE资源管理的多领导者多跟从Stackelberg游戏

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摘要

It is known that the capacity of the cellular network can be significantly improved when cellular operators are allowed to access the unlicensed spectrum. Nevertheless, when multiple operators serve their user equipments (UEs) in the same unlicensed spectrum, the inter-operator interference management becomes a challenging task. In this paper, we develop a multi-operator multi-UE Stackelberg game to analyze the interaction between multiple operators and the UEs subscribed to the services of the operators in unlicensed spectrum. In this game, to avoid intolerable interference to the Wi-Fi access point (WAP), each operator sets an interference penalty price for each UE that causes interference to the WAP, and the UEs can choose their sub-bands and determine the optimal transmit power in the chosen sub-bands of the unlicensed spectrum. Accordingly, the operators can predict the possible actions of the UEs and hence set the optimal prices to maximize its revenue earned from UEs. Furthermore, we consider two possible scenarios for the interaction of operators in the unlicensed spectrum. In the first scenario, referred to as the non-cooperative scenario, the operators cannot coordinate with each other in the unlicensed spectrum. A sub-gradient approach is applied for each operator to decide its best-response action based on the possible behaviors of others. In the second scenario, referred to as the cooperative scenario, all operators can coordinate with each other to serve UEs and control the UEs' interference in the unlicensed spectrum. Simulation results have been presented to verify the performance improvement that can be achieved by our proposed schemes.
机译:已知当允许蜂窝运营商访问未许可频谱时,蜂窝网络的容量可以显着提高。然而,当多个运营商在相同的未许可频谱中服务其用户设备(UE)时,运营商之间的干扰管理成为一项艰巨的任务。在本文中,我们开发了一个多运营商的多UE Stackelberg游戏,以分析多个运营商与订阅了无执照频谱中的运营商服务的UE之间的交互。在此游戏中,为避免对Wi-Fi接入点(WAP)造成无法忍受的干扰,每个运营商都会为每个对WAP造成干扰的UE设置一个干扰代价价格,并且UE可以选择其子带并确定最佳发射在未许可频谱的选定子频带中的功率。因此,运营商可以预测UE的可能动作,并因此设置最优价格以最大化其从UE获得的收入。此外,对于无执照频谱中运营商的交互,我们考虑了两种可能的方案。在第一种情况下,称为非合作方案,运营商无法在非授权频谱中相互协调。次梯度方法适用于每个操作员,以根据其他操作员的可能行为来决定其最佳响应操作。在第二种情况下,称为合作方案,所有运营商可以相互协调以服务UE,并控制非许可频谱中UE的干扰。仿真结果已被提出来验证我们提出的方案可以实现的性能改进。

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