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毫米波信道下子连接ARIS辅助ISAC系统的能效优化研究
Energy efficiency optimization study of sub-connected ARIS-assisted ISAC system over millimeter wave channels
- 电信科学 2025年41卷第6期 页码：81-91
- 作者机构：
大连海事大学信息科学技术学院，辽宁 大连 116026
- 作者简介：
[ "武祥凯（2002- ），男，大连海事大学信息科学技术学院硕士生，主要研究方向为智能超表面技术。" ]
[ "岳殿武（1965- ），男，大连海事大学信息科学技术学院教授、博士生导师，主要研究方向为无线通信与信息理论。" ]
[ "袁猛（2000- ），男，大连海事大学信息科学技术学院硕士生，主要研究方向为智能超表面技术。" ]
[ "徐淼（2001- ），男，大连海事大学信息科学技术学院硕士生，主要研究方向为智能超表面技术。" ]
[ "杨佳宁（2001- ），女，大连海事大学信息科学技术学院硕士生，主要研究方向为智能超表面技术。" ]
- 基金信息：
DOI：10.11959/j.issn.1000-0801.2025121
中图分类号： TN925收稿日期：2025-01-22，
修回日期：2025-03-28，
纸质出版日期：2025-06-20
- 稿件说明：
移动端阅览
武祥凯,岳殿武,袁猛等.毫米波信道下子连接ARIS辅助ISAC系统的能效优化研究[J].电信科学,2025,41(06):81-91.
WU Xiangkai,YUE Dianwu,YUAN Meng,et al.Energy efficiency optimization study of sub-connected ARIS-assisted ISAC system over millimeter wave channels[J].Telecommunications Science,2025,41(06):81-91.
武祥凯,岳殿武,袁猛等.毫米波信道下子连接ARIS辅助ISAC系统的能效优化研究[J].电信科学,2025,41(06):81-91. DOI： 10.11959/j.issn.1000-0801.2025121.
WU Xiangkai,YUE Dianwu,YUAN Meng,et al.Energy efficiency optimization study of sub-connected ARIS-assisted ISAC system over millimeter wave channels[J].Telecommunications Science,2025,41(06):81-91. DOI： 10.11959/j.issn.1000-0801.2025121.
摘要
为了解决智能超表面（reconfigurable intelligent surface，RIS）辅助的通信感知一体化（integrated sensing and communication，ISAC）系统中能量消耗较大、RIS性能增益较差等问题，考虑将子连接有源智能超表面（active reconfigurable intelligent surface，ARIS）引入ISAC系统中。在用户最小信干噪比约束和雷达探测功率约束下，通过优化双功能基站波束成形、子连接ARIS的相移矩阵和放大系数向量以最大化系统能量效率。提出了一种基于分式规划（fractional programming，FP）理论、交替优化（alternating optimization，AO）技术、连续凸逼近（successive convex approximation，SCA）技术的算法处理非凸问题。仿真结果表明，所提算法具有良好收敛性，且与全连接ARIS辅助的ISAC系统相比，子连接ARIS辅助的ISAC系统可以显著提高系统能量效率。
Abstract
In order to solve the problems of large energy consumption
and poor performance gain of RIS in the traditional reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system
the sub-connected active reconfigurable intelligent surface (ARIS) was considered to be introduced into the ISAC system. The system energy efficiency was maximized by optimizing the beamform for dual-function base station
the phase shift matrix of sub-connected ARIS and the vector of amplification factors for sub-connected ARIS under the user’s minimum signal to interference plus noise ratio and the constraint of radar detection power. An algorithm based on fractional programming (FP) theory
alternating optimization (AO) technique
and successive convex approximation (SCA) technique was proposed to deal with the non-convex problem. The simulation results show that the algorithm has good convergence and the sub-connected ARIS-assisted ISAC system can significantly improve the energy efficiency of the system compared to the fully connected ARIS-assisted ISAC system.
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references
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