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Power Allocation in Cellular Networks Based on Outage Probability and Normalized SINR

机译:基于中断概率和标准化SINR的蜂窝网络中的功率分配

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In this paper, power allocation in cellular networks is proposed based on the outage probability and normalized signal to interference plus noise ratio (SINR). Upper and lower bounds on the outage probability are determined using the normalized SINR considering path loss, shadowing, and fading. The problems of minimizing the user power subject to outage probability and target SINR constraints are then considered as power allocation problems. These problems are solved using Perron-Frobenius theory and geometric programming (GP). The objectives are to efficiently provide users with flexible date rates and reduce the outage probability and user transmit power. Typically, only the path loss is considered in determining the outage probability whereas path loss, multipath fading and lognormal shadowing are considered in this paper along with the interference from other users. Results are presented which show that the proposed power allocation schemes provide better performance than the target SINR tracking power control (TPC), opportunistic power control (OPC), and temporary removal and feasibility check power control (DFC) algorithms.
机译:在本文中,基于停电概率和归一化信号来提出了蜂窝网络中的功率分配与干扰加噪声比(SINR)。考虑到路径损耗,阴影和衰落的标准化SINR确定上限和下限。然后将其超出预测概率和目标SINR约束的用户权力最小化的问题被认为是电力分配问题。使用Perron-Frobenius理论和几何编程(GP)来解决这些问题。目标是有效为用户提供灵活的日期速率,并降低中断概率和用户传输功率。通常,在确定停电概率时仅考虑路径损耗,而在本文中考虑了路径损耗,多径衰落和逻辑正常遮蔽以及其他用户的干扰。提出了结果,表明所提出的功率分配方案提供比目标SINR跟踪功率控制(TPC),机会功率控制(OPC)以及临时移除和可行性检查功率控制(DFC)算法的性能更好。

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