In this article, we study an interference management and power allocation problem when electrical power communication (EPC) networks are densely deployed in the coverage of licensed networks. The purpose is to reduce the electricity cost and improve the licensed operator’s profit subject to the quality-of-service (QoS) of licensed users (LUs). First, the electricity cost is modeled based on the Taguchi loss function, which links the cost to the communication errors in the EPC networks. The operator’s profit is formulated by introducing a bonus-penalty mechanism, and a rational interference threshold (IT) of the licensed base station (LBS) is set to ensure the QoS of the LU. Second, we formulate the interference management and power allocation problem as a Stackelberg game, and a successive convex approximation algorithm is used to solve this problem to achieve the optimal IT and relay power. The simulation results indicate that the cost to the utility company is reduced and the profit of the LBS increases.

中文翻译：

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中继辅助智能电网通信的联合干扰管理和功率分配

在本文中，我们研究了在许可网络的覆盖范围内密集部署电力通信（EPC）网络时的干扰管理和功率分配问题。目的是降低电力成本，并根据许可用户（LU）的服务质量（QoS）来提高许可运营商的利润。首先，基于田口损失函数对电力成本进行建模，该函数将成本与EPC网络中的通信错误相关联。通过引入奖励惩罚机制来制定运营商的利润，并设置许可基站（LBS）的合理干扰阈值（IT）以确保LU的QoS。其次，我们将干扰管理和功率分配问题公式化为Stackelberg游戏，然后采用连续凸逼近算法解决该问题，以获得最佳的IT和中继功率。仿真结果表明，公用事业公司的成本降低，LBS的利润增加。