Robust Secure Resource Allocation Algorithm for Heterogeneous Networks with Hardware Impairments

XU Yongjun; CAO Qi; WAN Yangliang; ZHOU Jihua; ZHAO Tao; CHEN Qianbin

doi:10.11999/JEIT211123

Volume 45 Issue 1

Jan. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(1): 243-253

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. doi: 10.11999/JEIT211123

Citation:

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. doi: 10.11999/JEIT211123

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Robust Secure Resource Allocation Algorithm for Heterogeneous Networks with Hardware Impairments

doi: 10.11999/JEIT211123

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Complex Environment Communication, Chongqing 400031, China
3.
95696 Troops, Chongqing 400030, China
4.
Aerospace New Generation Communications Co., Ltd, Chongqing 401332, China

Funds: The National Natural Science Foundation of China (61601071, 62071078), The Key Program of the National Natural Science Foundation of China (U21A20448), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Entrepreneurship and Innovation Support Program for Returned Overseas Students of Chongqing (cx2020095)

Received Date: 2021-10-14
Accepted Date: 2022-03-01
Rev Recd Date: 2022-02-24

Available Online: 2022-03-10

Publish Date: 2023-01-17

Abstract

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.
- Heterogeneous networks,
- Robust resource allocation,
- Hardware impairments,
- Physical layer security

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References(24)

References

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