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QoS约束下的IRS-MU-OAM-OFDMA下行资源优化方法

LAN Shicai DOU Haie WANG Lei YAO Jiming XIA Zhijie

电子科技2026,Vol.39Issue(2):1-8,8.
电子科技2026,Vol.39Issue(2):1-8,8.DOI:10.16180/j.cnki.issn1007-7820.2026.02.001

QoS约束下的IRS-MU-OAM-OFDMA下行资源优化方法

IRS-MU-OAM-OFDMA Downlink Resource Optimization under QoS Constraints

LAN Shicai 1DOU Haie 1WANG Lei 1YAO Jiming 2XIA Zhijie1

作者信息

  • 1. Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • 2. Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China||State Grid Smart Grid Research Institute Co.,Ltd.,Beijing 102211,China
  • 折叠

摘要

Abstract

In view of the problem that traditional OAM(Orbital Angular Momentum)communication systems struggle to operate normally in non-line-of-sight environments where line-of-sight channels are blocked,and fail to effectively guarantee the QoS(Quality of Service)requirements of multiple users,this study proposes a downlink re-source optimization method for terahertz multiuser OAM orthogonal frequency division multiple access systems based on intelligent reflecting surface assistance technology.The IRS technology converts the non-line-of-sight channels of multiple users into equivalent line-of-sight channels.In this scenario,a two-layer iterative resource allocation algo-rithm is used to decompose the solution of the non-convex joint optimization problem into external and internal opti-mization processes.Four core subproblems are solved one by one based on the alternating optimization and convex op-timization theories to maximize the system capacity while ensuring differentiated QoS for each user.Simulation results show that the proposed method achieves a 100%QoS requirement guarantee rate for each user when communication resources are sufficient.When the number of reflecting units is 768,the system capacity of the proposed method is on average 19.1%higher than that of the traditional OAM system,with a lower bit error rate.When the number of users is 3 and the signal-to-noise ratio is 20 dB,the bit error rate of the proposed system is 40.5%lower than that of the phase compensation-based MU(Multiuser)-OAM system.

关键词

资源优化/OAM/智能反射表面/QoS/非视距信道/双层迭代/联合优化/交替优化

Key words

resource optimization/OAM/intelligent reflective surface/QoS/non line-of-sight/two-layer itera-tion/joint optimization/alternating optimization

分类

信息技术与安全科学

引用本文复制引用

LAN Shicai,DOU Haie,WANG Lei,YAO Jiming,XIA Zhijie..QoS约束下的IRS-MU-OAM-OFDMA下行资源优化方法[J].电子科技,2026,39(2):1-8,8.

基金项目

国家自然科学基金(62071255) (62071255)

江苏省重点研发计划(BE2023087) (BE2023087)

江苏省高等学校自然科学研究重大项目(20KJA510009) (20KJA510009)

南京邮电大学宽带无线通信与传感网技术教育部重点实验室开放研究基金(JZNY202312)National Natural Science Foundation of China(62071255) (JZNY202312)

Key R&D Program of Jiangsu(BE2023087) (BE2023087)

Major Natural Science Research Pro-jects of Jiangsu Higher Education Institutions(20KJA510009) (20KJA510009)

Open Research Fund of Key Laboratory of Broadband Wireless Communica-tion and Sensor Network Technology of Ministry of Education,Nanjing University of Posts and Telecommunications(JZNY202312) (JZNY202312)

电子科技

1007-7820

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