首页> 外文期刊>IEEE Transactions on Communications >Joint Power and Bandwidth Allocation for Energy-Efficient Heterogeneous Cellular Networks
【24h】

Joint Power and Bandwidth Allocation for Energy-Efficient Heterogeneous Cellular Networks

机译:高效异构蜂窝网络的联合功率和带宽分配

获取原文
获取原文并翻译 | 示例
           

摘要

This paper investigates the problem of energy efficiency maximization (EEM) for the small cells that coexist with a macro cell in an underlay heterogeneous cellular network, where a macro base station and a number of small base stations transmit signals to a macro user and small users through their shared spectrum. We propose a joint power and bandwidth allocation (JPBA) scheme for the sake of maximizing the energy efficiency (EE) of small cells under the constraint of a guaranteed quality-of-service requirement for the macro cell. Considering that our formulated EEM-based JPBA (EEM-JPBA) problem is non-convex, we convert the original fractional problem into an equivalent subtractive form by adopting the Dinkelbach's method, which is addressed through the augmented Lagrange multiplier approach. Moreover, a new two-tier iterative algorithm is presented to obtain the optimal solution of our EEM-JPBA scheme. Simulation results demonstrate that the proposed two-tier iterative algorithm can quickly converge to the optimal EE solution. In addition, it is shown that the proposed EEM-JPBA scheme significantly outperforms the conventional power and bandwidth allocation methods in terms of their EE performance.
机译:本文研究了底层异构蜂窝网络中与宏小区共存的小型小区的能量效率最大化(EEM)问题,其中宏基站和许多小型基站向宏用户和小型用户发送信号通过他们共享的频谱。我们提出了一种联合功率和带宽分配(JPBA)方案,目的是在保证宏小区服务质量的约束下最大化小型小区的能量效率(EE)。考虑到我们公式化的基于EEM的JPBA(EEM-JPBA)问题是非凸的,我们通过采用Dinkelbach方法将原始分数问题转换为等效的减法形式,该方法通过增强的Lagrange乘数法解决。此外,提出了一种新的两层迭代算法,以获得我们的EEM-JPBA方案的最佳解决方案。仿真结果表明,所提出的两层迭代算法可以快速收敛到最优EE解。此外,可以看出,提出的EEM-JPBA方案在EE性能方面明显优于传统的功率和带宽分配方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号