Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks

XU Yong-jun; LI Guo-quan; CHEN Qian-bin; LIN Jin-zhao

doi:10.3969/j.issn.0372-2112.2020.03.018

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Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks

更新时间：2025-07-16

- Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks
- Acta Electronica Sinica Vol. 48, Issue 3, Pages: 545-553(2020)
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院,重庆,400065
  2. 山东大学山东省无线通信技术重点实验室,山东,济南,250100
  3. 重庆邮电大学通信与信息工程学院,重庆,400065
  4. 山东大学山东省无线通信技术重点实验室,山东,济南,250100
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61601071);Q Program supported by Science and Technology Research Project Fund of Chongqing Municipal Education Commission (No.KJQN201800606);Open Fund of Shandong Provincial Key Laboratory of Wireless Communication Technologies of Shandong University (No.SDKLWCT-2019-04);Major Project of Basic Research and Frontier Exploration Project of Chongqing Municipality (No.cstc2019jcyj-msxmX0666);Key Project of Chongqing Nature Foundation (No.2019jcyj-zdxmX0008)
- DOI：10.3969/j.issn.0372-2112.2020.03.018
  CLC： TN929.5
- Published Online：25 March 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
XU Yong-jun, LI Guo-quan, CHEN Qian-bin, et al. Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks[J]. Acta Electronica Sinica, 2020, 48(3): 545-553.
DOI：

XU Yong-jun, LI Guo-quan, CHEN Qian-bin, et al. Robust Resource Allocation for Interference-Efficiency Heterogeneous Wireless Networks[J]. Acta Electronica Sinica, 2020, 48(3): 545-553. DOI： 10.3969/j.issn.0372-2112.2020.03.018.

摘要

针对能效提升、宏用户干扰减小的问题，该文研究了基于干扰效率最大的异构无线网络顽健资源分配算法.首先，考虑宏用户干扰约束、微蜂窝用户速率需求约束和最大发射功率约束，将资源优化问题建模为多变量非线性规划问题.其次，考虑有界信道不确定性模型，利用Dinkelbach辅助变量方法和连续凸近似方法结合对数变换方法，将原分式规划顽健资源分配问题转换为等价的确定性凸优化问题，并利用拉格朗日对偶算法获得解析解.理论分析了计算复杂度和参数不确定性对性能的影响.仿真结果表明该算法具有较好的干扰效率和鲁棒性.

Abstract

To improve energy efficiency and reduce the interference to macro users (MUs)

this paper studies robust resource allocation for interference efficiency (IE) maximization in heterogeneous wireless networks. Firstly

considering the maximum interference power constraint of MU

the minimum rate requirements of femto users (FUs) and the maximum transmit power constraint of femto base station

the resource allocation problem is modeled as a multivariate nonlinear programming problem. Secondly

under bounded channel uncertainties

the original fractional programming problem is converted into a convex optimization problem by using Dinkelbach's method

logarithmic transformation and the successive convex approximation

where the analytical solution is resolved by using Lagrangian dual approach. And computational complexity and the cost of robustness are also analyzed. Finally

simulation results show that the proposed algorithm has better IE and robustness.

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