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IRS辅助的全双工通感一体化波束成形设计
IRS-assisted full-duplex ISAC system beamforming design
- 电信科学 2024年40卷第7期 页码：63-75
- 作者机构：
1.重庆邮电大学通信与信息工程学院，重庆 400065
2.重庆工业职业技术学院电子与物联网工程学院，重庆 401120
- 作者简介：
[ "刘期烈（1974- ），男，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线传感器网络、智能反射面、卫星通信、车载网络、UWB室内定位、大数据等。" ]
[ "王龙（1999- ），男，重庆邮电大学硕士生，主要研究方向为智能反射面、无线通信等。" ]
[ "辛雅楠（1996- ），女，重庆邮电大学博士生，主要研究方向为智能反射面、无线通信等。" ]
[ "方家成（1998- ），男，重庆邮电大学硕士生，主要研究方向为智能反射面、无线通信等。" ]
[ "陈前斌（1967- ），男，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信与网络。" ]
[ "陶宇（1996- ），女，重庆邮电大学博士生，主要研究方向为可重构智能表面、无线通信等。" ]
- 基金信息：重庆市自然科学基金创新发展联合基金项目(2024NSCQ-LZX0169)
DOI：10.11959/j.issn.1000-0801.2024180
中图分类号： TN929收稿日期：2024-05-29，
修回日期：2024-07-02，
纸质出版日期：2024-07-20
- 稿件说明：
移动端阅览
刘期烈,王龙,辛雅楠等.IRS辅助的全双工通感一体化波束成形设计[J].电信科学,2024,40(07):63-75.
LIU Qilie,WANG Long,XIN Yanan,et al.IRS-assisted full-duplex ISAC system beamforming design[J].Telecommunications Science,2024,40(07):63-75.
刘期烈,王龙,辛雅楠等.IRS辅助的全双工通感一体化波束成形设计[J].电信科学,2024,40(07):63-75. DOI： 10.11959/j.issn.1000-0801.2024180.
LIU Qilie,WANG Long,XIN Yanan,et al.IRS-assisted full-duplex ISAC system beamforming design[J].Telecommunications Science,2024,40(07):63-75. DOI： 10.11959/j.issn.1000-0801.2024180.
摘要
为了解决传统通感一体化（integrated sensing and communication，ISAC）场景中通信和感知系统收发信号的切换频率差异以及通信易受障碍物阻挡的问题，将全双工（full-duplex，FD）技术和智能反射面（intelligent reflecting surface，IRS）引入ISAC系统，研究ISAC场景下IRS辅助的FD波束成形设计。基于IRS相移约束、基站接收波束成形约束、基站最大发射功率约束、上行用户最大发射功率约束、雷达感知阈值约束，建立了上下行用户和速率最大化波束成形优化问题。利用交替优化、连续凸逼近、半正定松弛、变量替换、半正定规划将原非凸优化问题转换成凸优化问题进行求解。仿真结果表明，在所考虑的通信性能指标下，所提方案相比对应的半双工和随机IRS方案分别提升了89.02%和70.15%。
Abstract
To address the issues of frequency switching differences between communication and sensing systems in traditional integrated sensing and communication (ISAC) scenarios
as well as the susceptibility of communication to obstruction by obstacles
the integration of full-duplex (FD) technology and intelligent reflecting surface (IRS) into the ISAC system was studied. The design of FD beamforming assisted by IRS in the ISAC scenario was investigated. An optimization problem for maximizing the user rates of uplink and downlink beamforming was formulated
considering constraints on IRS phase shift
base station receiving beamforming
the maximum transmission power of the base station
the maximum transmission power of uplink users
and the radar sensing threshold. The original non-convex problem was solved by being transformed into a convex optimization problem through the use of alternating optimization
continuous convex approximation
semi-definite relaxation
variable substitution
and semi-definite programming. Simulation results show that the proposed scheme resulted in an 89.02% enhancement under the communication performance indicators considered compared to the corresponding half-duplex scheme and a 70.15% improvement over the random IRS scheme.
关键词
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references
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