.png){kind=icon}
返回
Multiobjective Optimization for Intelligent Reflective Surface-Aided Physical-Layer Multicasting
.png){kind=icon}
OA
AI
DOI：10.1109/OJCOMS.2022.3156163.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we examine the use of intelligent reflective surface (IRS) to reconfigure the wireless propagation environment which assists the physical-layer multicast transmission with simple single-antenna radios in the network. Different phase-shift strategies are employed to adjust the reflection of the IRS. On the one hand, the max-min criterion is utilized to enhance the achievable rate of the receive nodes inside the multicast-target group. On the other hand, for the nodes outside the multicast-target group in the same network, we take advantage of another min-max criterion to let them all be less interfered with by the specific multicast communication. Multiobjective optimization is then set to reveal the compromises between the effect on the nodes of the two different groups. Simulation results show that the proposed IRS-aided physical-layer multicasting can fulfill the above-stated task, and can let the nodes in either group gain better results.
Keyword:
Multicast communication
Optimization
Wireless communication
Wireless sensor networks
Simulation
Tuning
Task analysis
Intelligent reflective surface (IRS)
physical-layer multicasting
max-min criterion
min-max criterion
convex optimization
semidefinite relaxation (SDR)
multiobjective optimization
期刊
I
IF:
4.3
论文数:
1.7K
被引数:
991
机构
引用论文
分享收藏Analysis and Optimization of an Intelligent Reflecting Surface-Assisted System With Interference
OAAI
OAAI分享收藏Staphylococcus aureus modulates the activity of acetyl- Coenzyme A synthetase (Acs) by sirtuin-dependent reversible lysine acetylation.金黄色葡萄球菌通过sirtuin依赖性的可逆赖氨酸乙酰化来调节乙酰辅酶A合成酶（Acs）的活性。.png)
IF0
PREAI
分享收藏分享收藏
查看更多内容