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Joint Resource Allocation and Power Control in Heterogeneous Cellular Networks for Smart Grids

机译:智能电网异构蜂窝网络中的联合资源分配和功率控制

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The smart grid communication plays a pivotal role in coordinating energy generation, energy transmission, and energy distribution. Cellular technology with long-term evolution (LTE)-based standards has been a preference for smart grid communication networks. However, conventional cellular networks could suffer from radio access network (RAN) congestion when many smart grid devices attempt access simultaneously. Heterogeneous cellular networks (HetNets) are proposed as important techniques to solve this problem because HetNets can alleviate the RAN congestion by off-loading access attempt from a macrocell to small cells. In smart grid, real-time data from phasor measurement units (PMUs) has a stringent delay requirement in order to ensure the stability of the grid. In this paper, we propose a joint resource allocation and power control scheme to improve the end-to-end delay in HetNets by taking into account the simultaneous transmission of PMUs. We formulate the optimization problem as a mixed integer problem and adopt a game-theoretic approach and the best response dynamics algorithm to solve the problem. Simulation results show that the proposed scheme can significantly minimize the end-to-end delay compared to first-in first-out scheduling and round-robin scheduling schemes.
机译:智能电网通信在协调能量产生,能量传输和能量分布中起着枢轴作用。基于长期演进(LTE)的蜂窝技术是对智能电网通信网络的偏好。然而,当许多智能电网设备同时尝试访问时,传统的蜂窝网络可能遭受无线电接入网络(RAN)拥塞。非均相蜂窝网络(Hetnets)被提出为解决这个问题的重要技术,因为Hetnets可以通过从宏小区到小小区的偏离访问尝试来缓解RAN拥塞。在智能电网中,来自Phasor测量单元(PMU)的实时数据具有严格的延迟要求,以确保网格的稳定性。在本文中,我们提出了一个联合资源配置和功率控制方案,以通过考虑到PMU的同时传输来改善Hetnets的端到端延迟。我们将优化问题作为混合整数问题,采用游戏理论方法和最佳响应动态算法来解决问题。仿真结果表明,与先进先出调度和循环调度方案相比,所提出的方案可以显着最小化端到端延迟。

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