Robust Energy Efficiency Resource Allocation Algorithm in Reconfigurable Intelligent Surface-assisted Non-Orthogonal Multiple Access Networks

LIU Qilie; XIN Yanan; GAO Junpeng; ZHOU Jihua; HUANG Dong; ZHAO Tao

doi:10.11999/JEIT210521

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2332-2341

LIU Qilie, XIN Yanan, GAO Junpeng, ZHOU Jihua, HUANG Dong, ZHAO Tao. Robust Energy Efficiency Resource Allocation Algorithm in Reconfigurable Intelligent Surface-assisted Non-Orthogonal Multiple Access Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2332-2341. doi: 10.11999/JEIT210521

Citation:

LIU Qilie, XIN Yanan, GAO Junpeng, ZHOU Jihua, HUANG Dong, ZHAO Tao. Robust Energy Efficiency Resource Allocation Algorithm in Reconfigurable Intelligent Surface-assisted Non-Orthogonal Multiple Access Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2332-2341. doi: 10.11999/JEIT210521

Citation:

LIU Qilie, XIN Yanan, GAO Junpeng, ZHOU Jihua, HUANG Dong, ZHAO Tao. Robust Energy Efficiency Resource Allocation Algorithm in Reconfigurable Intelligent Surface-assisted Non-Orthogonal Multiple Access Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2332-2341. doi: 10.11999/JEIT210521

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Robust Energy Efficiency Resource Allocation Algorithm in Reconfigurable Intelligent Surface-assisted Non-Orthogonal Multiple Access Networks

doi: 10.11999/JEIT210521

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Aerospace New Generation Communications Co. Ltd, Chongqing 400065, China
3.
Key Laboratory of Advanced Manufacturing Technology, Ministry of Education Gui Zhou University, Guiyang 550025, China

Funds: The Basic and Advanced Research Projects of CSTC (cstc2019jcyj-zdxm0008), The Chongqing Science and Technology Innovation Leading Talent Support Program (CSTCCXLJRC201908), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-K201900605)

Received Date: 2021-06-07
Rev Recd Date: 2021-09-05

Available Online: 2021-09-30

Publish Date: 2022-07-25

Abstract

Abstract

To improve the robustness and Energy Efficiency (EE) of Non-Orthogonal Multiple Access (NOMA)-based networks, a robust EE maximization-based algorithm is proposed in a Reconfigurable Intelligent Surface (RIS)-assisted NOMA network with imperfect channel state information. Considering the outage probability constraints of users' Signal-to-Interference-to-Noise Ratio (SINR), the maximum transmit power constraints of the base station, and continuous phase shift constraints, a nonlinear EE maximization-based resource allocation model is established. By using Dinkelbach's method the fractional objective function is converted into a linear parameter subtraction form, the S-procedure method is used to transform the outage probability of SINR with channel uncertainty into deterministic form. By using the alternative optimization method, the non-convex optimization problem is converted into several convex optimization subproblems, then the CVX is used to solve the subproblems. Simulation results show that the proposed algorithm is 7.4% higher than the without Reconfigurable Intelligent Surface (RIS) algorithm in terms of EE, the proposed algorithm is 85.5% lower than the non-robust algorithm in terms of the outage probability of SINR.
- Reconfigurable Intelligent Surface(RIS),
- Energy Efficiency(EE) maximization,
- Non-Orthogonal Multiple Access(NOMA),
- Robust,
- Resource allocation

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References(21)

References

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