Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things

被引:2
|
作者
Zhu, Zhengyu [1 ,2 ]
Li, Jiaxue [1 ]
Chu, Zheng [3 ]
Liang, Jing [1 ,4 ,5 ]
Niu, Hehao [6 ]
Mi, De [7 ]
Yin, Cheng [8 ]
Liu, Peijia [1 ]
机构
[1] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou 450001, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210019, Peoples R China
[3] Univ Nottingham Ningbo China, Dept Elect & Elect Engn, Ningbo 315100, Peoples R China
[4] Henan Inst Technol, Xinxiang 453003, Peoples R China
[5] State Key Lab Intelligent Agr Power Equipment, Luoyang 471000, Peoples R China
[6] Natl Univ Def Technol, Sixty Res Inst 3, Nanjing 210007, Peoples R China
[7] Birmingham City Univ, Sch Comp & Digital Technol, Birmingham B4 7XG, England
[8] Ulster Univ, Sch Comp, Belfast BT15 1ED, North Ireland
基金
中国博士后科学基金;
关键词
Wireless communication; Wireless sensor networks; Communication system security; Optimization; Throughput; Bioinformatics; Resource management; Active reconfigurable intelligent surface; alternating optimization; Internet of Medical Things (IoMT); wireless power transfer (WPT); wireless information transfer (WIT); POWERED SENSOR NETWORKS; WIRELESS; IRS; MAXIMIZATION; IOT; THROUGHPUT; NOMA;
D O I
10.1109/JBHI.2023.3343497
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The incredible potentiality of reconfigurable intelligent surface (RIS) in addressing power supply and obstacle environment of Internet of Medical Things (IoMT) has been capturing our interest. Considering the nettlesome "double-fading" effect introduced by passive RIS, we investigate an active RIS-enhanced IoMT system in this article, where the wireless power transfer (WPT) from power station (PS) to IoMT devices and the wireless information transfer (WIT) from IoMT devices to the access point (AP) are both implemented with the assistance of active RIS. Aiming to maximize the sum throughput of the considered IoMT system, a joint design of time schedules and reflecting coefficient matrices of the active RIS is proposed. Trapped by the non-convex and obstinate optimization problem, we explore the semi-definite programming (SDP) relaxation and successive convex approximation (SCA) techniques based on alternating optimization (AO) algorithm. Simulation results verify our solution approach to the intractable optimization problem and showcase the boosted spectrum and energy efficiency of the active RIS-enhanced IoMT system.
引用
收藏
页码:3831 / 3840
页数:10
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