Maximum throughput design for IRS aided WPCN system
based on NOMA

doi:10.19682/j.cnki.1005-8885.2022.2010

中国邮电高校学报(英文版) ›› 2022, Vol. 29 ›› Issue (1): 93-101.doi: 10.19682/j.cnki.1005-8885.2022.2010

Maximum throughput design for IRS aided WPCN system based on NOMA

Guo Hui, Zhao Xuehui

School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

收稿日期:2021-06-07 修回日期:2021-08-05 接受日期:2021-11-06 出版日期:2022-02-26 发布日期:2022-02-28
通讯作者: Corresponding author: Guo Hui E-mail:guohui@hpu.edu.cn
基金资助:
This work was supported by the Key Scientific and Technological Projects in Henan Province (202102310560), the Basic Scientific Research Operating Expenses of Henan Polytechnic University (NSFRF180309).

Maximum throughput design for IRS aided WPCN system based on NOMA

Guo Hui, Zhao Xuehui

School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

Received:2021-06-07 Revised:2021-08-05 Accepted:2021-11-06 Online:2022-02-26 Published:2022-02-28
Contact: Corresponding author: Guo Hui E-mail:guohui@hpu.edu.cn
Supported by:
This work was supported by the Key Scientific and Technological Projects in Henan Province (202102310560), the Basic Scientific Research Operating Expenses of Henan Polytechnic University (NSFRF180309).

摘要/Abstract

摘要： This paper considers a wireless powered communication network (WPC network, WPCN) based on non-orthogonal multiple access (NOMA) technology aided by intelligent reflective surfaces (IRS). WPCN mainly focuses on downlink energy transfer (ET) and uplink information transmission (IT). At the ET phase, a dedicated multi-antenna power station (PS) is equipped to supply power to users with the assistance of IRS, and at the IT phase, the IRS adjusts the phase to assist the user in applying NOMA technology to transmit information to the base station (BS), thus minimizing the impact of dynamic IRS on the system. Based on the above settings, the maximization of sum-throughput of the system under this working mode is studied. Due to the non-convexity of maximization problem of the sum-throughput of this system, block coordinate descent (BCD) technology is applied for alternative optimization of each system block by semidefinite relaxation (SDR) and particle swarm optimization (PSO) respectively. The numerical results show that compared with baseline scheme, the proposed optimization scheme can provide greater sum-throughput of the system.

关键词: wireless powered communication network, intelligent reflecting surface, non-orthogonal multiple access

Abstract: This paper considers a wireless powered communication network (WPC network, WPCN) based on non-orthogonal multiple access (NOMA) technology aided by intelligent reflective surfaces (IRS). WPCN mainly focuses on downlink energy transfer (ET) and uplink information transmission (IT). At the ET phase, a dedicated multi-antenna power station (PS) is equipped to supply power to users with the assistance of IRS, and at the IT phase, the IRS adjusts the phase to assist the user in applying NOMA technology to transmit information to the base station (BS), thus minimizing the impact of dynamic IRS on the system. Based on the above settings, the maximization of sum-throughput of the system under this working mode is studied. Due to the non-convexity of maximization problem of the sum-throughput of this system, block coordinate descent (BCD) technology is applied for alternative optimization of each system block by semidefinite relaxation (SDR) and particle swarm optimization (PSO) respectively. The numerical results show that compared with baseline scheme, the proposed optimization scheme can provide greater sum-throughput of the system.

Key words: wireless powered communication network, intelligent reflecting surface, non-orthogonal multiple access

中图分类号:

TN929.5

Guo Hui, Zhao Xuehui. Maximum throughput design for IRS aided WPCN system based on NOMA[J]. The Journal of China Universities of Posts and Telecommunications, 2022, 29(1): 93-101.

参考文献

References

[1] LYU B, RAMEZANI P, HOANG D T, et al. Optimized energy and information relaying in self-sustainable IRS-empowered WPCN. IEEE Transactions on Communications, 2021, 69(1): 619 - 633.

[2] LU X, WANG P, NIYATO D, et al. Wireless networks with RF energy harvesting: A contemporary survey. IEEE Communications Surveys and Tutorials, 2015, 17(2): 757 - 789.

[3] HUANG K B, ZHONG C J, ZHU G X. Some new research trends in wirelessly powered communications. IEEE Wireless Communications, 2016, 23(2): 19 - 27.

[4] ZHANG R, HO C K. MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Transactions on Wireless Communications, 2013, 12(5): 1989 - 2001.

[5] LU X, WANG P, NIYATO D, et al. Wireless charging technologies: Fundamentals, standards, and network applications. IEEE Communications Surveys and Tutorials, 2016, 18(2): 1413 - 1452.

[6] WU Q Q, ZHANG R. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network. IEEE Communications Magazine, 2020, 58(1): 106 - 112.

[7] ZHENG Y, BI S Z, ZHANG Y J, et al. Intelligent reflecting surface enhanced user cooperation in wireless powered communication networks. IEEE Wireless Communications Letters, 2020, 9(6): 901 - 905.

[8] PEJOSKI S, HADZI-VELKOV Z, SCHOBER R. Optimal power and time allocation for WPCNs with piece-wise linear EH model. IEEE Wireless Communications Letters, 2018, 7(3): 364 - 367.

[9] ZENG M, YADAV A, DOBRE O A, et al. Energy-efficient joint user-RB association and power allocation for uplink hybrid NOMA-OMA. IEEE Internet of Things Journal, 2019, 6(3): 5119 - 5131.

[10] LUO Z Q, MA W K, SO A M C, et al. Semidefinite relaxation of quadratic optimization problems. IEEE Signal Processing Magazine, 2010, 27(3): 20 - 34.

[11] GRANT M, BOYD S, YE E. CVX: Matlab software for disciplined convex programming. CVX Research, Inc, 2020.

[12] ZENG M, LI X W, LI G, et al. Sum rate maximization for IRS-assisted uplink NOMA. IEEE Communications Letters, 2021, 25(1): 234 - 238.

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Maximum throughput design for IRS aided WPCN system based on NOMA

Maximum throughput design for IRS aided WPCN system based on NOMA

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