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An Interference Coordination Scheme in Ultra-Dense Networks Based on Power Control

机译:基于功率控制的超密集网络干扰协调方案

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A large number of small cells are deployed in a traditional heterogeneous network to form an ultra-dense network. The ultra-dense network effectively increases the capacity of the network, but also introduces serious interference problems between low-power nodes. In order to solve the problem of downlink interference existing in the ultra-dense network, a new technical scheme based on power control (PCICS) is proposed. The PCICS scheme simultaneously determines the number of neighbor nodes around the central node and the size of the interference to the neighboring nodes as the determining node that needs to control the power. Then it translates the interference from neighboring nodes into its distance from the central node. It simplifies the method of determining the size of the interference. Then the node that meets the threshold condition is determined as the interference source node. Finally, the interference source node controls the transmission power under the condition of ensuring the normal communication of the user according to the feedback signal of the user. Therefore, the proposed solution minimizes interference to system users. Experimental data show that, compared to the TAPB algorithm, the average degree of system interference of the proposed scheme is basically the same. The average SINR is increased by 5~8dB. The average system throughput is increased by about 50%. Simulation results demonstrate that, in the case of increasing the interference source node judgment condition, the proposed scheme can effectively improve the system throughput and reduce the system power loss.
机译:在传统的异构网络中部署了大量的小型小区,以形成超密集网络。超密集网络有效地增加了网络的容量,但同时也会在低功率节点之间引入严重的干扰问题。为了解决超密集网络中存在的下行干扰问题,提出了一种基于功率控制的新技术方案。 PCICS方案同时确定中心节点周围的相邻节点的数目以及对相邻节点的干扰的大小,作为需要控制功率的确定节点。然后,它将来自相邻节点的干扰转换成其与中心节点的距离。它简化了确定干扰大小的方法。然后,将满足阈值条件的节点确定为干扰源节点。最后,干扰源节点根据用户的反馈信号,在保证用户正常通信的条件下控制发射功率。因此,所提出的解决方案使对系统用户的干扰最小化。实验数据表明,与TAPB算法相比,该方案的平均系统干扰度基本相同。平均SINR增加5〜8dB。平均系统吞吐量提高了约50%。仿真结果表明,在增加干扰源节点判断条件的情况下,该方案可以有效提高系统吞吐量,减少系统功耗。

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