Robust Energy Efficiency Optimization Algorithm for NOMA-based D2D Communication With Simultaneous Wireless Information and Power Transfer

Yongjun XU; Zijian LIU; Guoquan LI; Qianbin CHEN; Jinzhao LIN

doi:10.11999/JEIT200175

Volume 43 Issue 5

May 2021

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Yongjun XU, Zijian LIU, Guoquan LI, Qianbin CHEN, Jinzhao LIN. Robust Energy Efficiency Optimization Algorithm for NOMA-based D2D Communication With Simultaneous Wireless Information and Power Transfer[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1289-1297. doi: 10.11999/JEIT200175

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Robust Energy Efficiency Optimization Algorithm for NOMA-based D2D Communication With Simultaneous Wireless Information and Power Transfer

doi: 10.11999/JEIT200175

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts & Telecommunications, Xi’an 710121, China

Funds: The National Natural Science Foundation of China (61601071), The National Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Shaanxi Key Laboratory of Information Communication Network and Security (ICNS201904)

Received Date: 2020-03-17
Rev Recd Date: 2020-07-24

Available Online: 2020-08-22

Publish Date: 2021-05-18

Abstract

Abstract

In order to resolve the problems of spectrum shortage, large power consumption, and excessive load at base stations, a Simultaneous Wireless Information and Power Transfer (SWIPT)-based Robust Energy Efficiency (EE) Algorithm (SREA) with imperfect channel state information is proposed to maximize the total EE in Non-Orthogonal Multiple Access (NOMA) assisted Device-to-Device (D2D) networks. Considering the users' Quality of Service (QoS) constraints and maximum transmit power constraints, a robust EE maximization-based resource allocation model is established based on random channel uncertainties. Moreover, the original NP-hard problem is transformed into a deterministic convex optimization problem by using Dinkelbach’s method and the variable substitution method. And the analytical solutions are obtained through Lagrange dual theory. Simulation results demonstrated that the proposed algorithm can effectively improve the system EE and the robustness of D2D users while ensuring the communication quality of cellular users.

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References(19)

References

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