[1]赵琳,崔闻,程建华.智能反射面辅助通信感知一体化系统联合资源分配方法[J].智能系统学报,2026,21(5):1300-1312.[doi:10.11992/tis.202601028]
ZHAO Lin,CUI Wen,CHENG Jianhua.Joint resource allocation method for IRS-assisted integrated sensing and communication system[J].CAAI transactions on intelligent systems,2026,21(5):1300-1312.[doi:10.11992/tis.202601028]
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ZHAO Lin,CUI Wen,CHENG Jianhua.Joint resource allocation method for IRS-assisted integrated sensing and communication system[J].CAAI transactions on intelligent systems,2026,21(5):1300-1312.[doi:10.11992/tis.202601028]
智能反射面辅助通信感知一体化系统联合资源分配方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
21
期数:
2026年第5期
页码:
1300-1312
栏目:
学术论文—智能系统
出版日期:
2026-09-05
- Title:
- Joint resource allocation method for IRS-assisted integrated sensing and communication system
- Keywords:
- integrated sensing and communication system; intelligent reflecting surface; sum-rate; energy efficiency; membrane-inspired quantum dung beetle optimizer algorithm; quantum computing; membrane computing; beamforming
- 分类号:
- TP273
- 摘要:
- 在通信感知一体化(integrated sensing and communication, ISAC)系统中，研究人员一直希望能够同时实现高频谱效率和低能量消耗。对于ISAC系统，为了提高能量效率，本文引入智能反射面(intelligent reflecting surface, IRS)技术。为了平衡IRS辅助ISAC系统的传输速率和能量消耗，通过联合优化ISAC基站处发射波束成形和IRS处反射波束成形，本文提出一种IRS辅助ISAC系统联合资源分配方法。本文提出全新的膜量子蜣螂优化算法(membrane-inspired quantum dung beetle optimizer algorithm, MQDBO)，以获取最优联合资源分配方法。为了对本文所提出的全新方法进行评估，通过仿真实验有效验证了该方法在平衡传输速率和能量消耗方面的优越性和有效性。对于IRS辅助ISAC系统，这种全新方法显著提高了总速率和能量效率。针对不同仿真场景，本文提出的基于MQDBO的联合资源分配方法可以实现最优的总速率和能量效率，在无线通信领域中具有广阔应用前景。
- Abstract:
- In integrated sensing and communication (ISAC) system, there are conflicting requirements that are low energy consumption and high spectral efficiency (SE). For ISAC system, aiming at improving energy efficiency (EE), we have introduced intelligent reflecting surface (IRS) in this paper. Balancing the transmission rate and energy consumption for IRS-assisted ISAC system, when reflect beamforming at IRS and transmit beamforming at ISAC base station are jointly designed, we have proposed a joint resource allocation method for IRS-assisted ISAC system. In this paper, a novel membrane-inspired quantum dung beetle optimizer algorithm (MQDBO) has been proposed to obtain optimal joint resource allocation method. To evaluate our newly proposed scheme, superiority and effectiveness in balancing transmission rate and energy consumption are effectively verified through simulation results. For IRS-assisted ISAC system, this novel scheme significantly improves sum-rate and energy efficiency. For different simulation scenarios, the proposed joint resource allocation method based on MQDBO can achieve the highest sum-rate and energy efficiency and has application prospects in the domain of wireless communication.
- 参考文献/References:
-
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备注/Memo
收稿日期:2026-1-22。
基金项目:国家自然科学基金项目(62073093).
作者简介:赵琳，教授，博士生导师，主要研究方向为惯性导航系统、卫星导航和综合导航。主持国家自然科学基金重点项目1项、面上项目3项、研制项目近30项。获国家级奖1项、省部级奖9项；获发明专利授权10余项；发表学术论文180余篇；出版学术著作9部。 E-mail：zhaolin@hrbeu.edu.cn。;崔闻，博士研究生，主要研究方向为物联网通信、智能反射面、massive MIMO技术和智能计算。E-mail：kid13@foxmail.com。;程建华，教授，博士生导师，主要研究方向为惯性导航系统、卫星导航和综合导航。主持国家自然科学基金项目、研制项目20余项，获省部级科技奖项7项，获发明专利授权13项。发表学术论文100余篇，出版学术著作7部。E-mail：chengjianhua@hrbeu.edu.cn。
通讯作者:赵琳. E-mail：zhaolin@hrbeu.edu.cn
更新日期/Last Update:
2026-09-05