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基于硬件损伤的异构网络鲁棒安全资源分配算法
引用本文:徐勇军,曹奇,万杨亮,周继华,赵涛,陈前斌.基于硬件损伤的异构网络鲁棒安全资源分配算法[J].电子与信息学报,2023,45(1):243-253.
作者姓名:徐勇军  曹奇  万杨亮  周继华  赵涛  陈前斌
作者单位:1.重庆邮电大学 通信与信息工程学院 重庆 4000652.复杂环境通信重庆市重点实验室 重庆 4000313.95696部队 重庆 4000304.航天新通科技有限公司 重庆 401332
基金项目:国家自然科学基金(61601071, 62071078),国家自然科学基金重点项目(U21A20448),重庆市自然科学基金(cstc2019jcyj-xfkxX0002),重庆市留学回国人员创业创新支持计划(cx2020095)
摘    要:针对多蜂窝多用户异构网络中收发机处信号畸变、用户信息泄露和传输中断等问题,该文提出一种基于硬件损伤的异构网络鲁棒安全资源分配算法。考虑小蜂窝用户最小安全速率约束、小蜂窝基站最大发射功率约束和宏用户干扰功率约束,建立了基于有界信道不确定性的能效最大化资源分配模型。基于Dinkelbach法、最坏准则法和连续凸近似理论,将原非凸资源分配问题等价转换为凸优化问题,并利用拉格朗日对偶算法得到解析解。仿真结果表明,与现有算法相比,所提算法具有较好的能效和鲁棒性。

关 键 词:异构网络    鲁棒资源分配    硬件损伤    物理层安全
收稿时间:2021-10-14

Robust Secure Resource Allocation Algorithm for Heterogeneous Networks with Hardware Impairments
XU Yongjun,CAO Qi,WAN Yangliang,ZHOU Jihua,ZHAO Tao,CHEN Qianbin.Robust Secure Resource Allocation Algorithm for Heterogeneous Networks with Hardware Impairments[J].Journal of Electronics & Information Technology,2023,45(1):243-253.
Authors:XU Yongjun  CAO Qi  WAN Yangliang  ZHOU Jihua  ZHAO Tao  CHEN Qianbin
Affiliation:1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China2.Chongqing Key Laboratory of Complex Environment Communication, Chongqing 400031, China3.95696 Troops, Chongqing 400030, China4.Aerospace New Generation Communications Co., Ltd, Chongqing 401332, China
Abstract:To solve the problems of signal distortion at the transceivers, information leakage and transmission interruption of users in multi-cell multi-user heterogeneous networks, a robust secure resource allocation algorithm is proposed with distortion noises. Considering the constraints of the minimum secure rate of each small-cell user, the maximum transmit power of each base station and the cross-tier interference power of each macro-cell user, an energy efficiency maximization-based resource allocation model is formulated under bounded channel uncertainties. The original non-convex optimization problem is converted into an equivalent convex one by using the Dinkelbach’s method, the worst-case method and the successive convex approximation method. And the analytical solution is obtained by using Lagrangian dual function method. Simulation results demonstrate that the proposed algorithm has better energy efficiency and robustness by comparing it with the existing algorithms.
Keywords:
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