TY - JOUR
T1 - Self-Sustainable Reconfigurable Intelligent Surface Aided Simultaneous Terahertz Information and Power Transfer (STIPT)
AU - Pan, Yijin
AU - Wang, Kezhi
AU - Pan, Cunhua
AU - Zhu, Huiling
AU - Wang, Jiangzhou
N1 - Funding information: This work was supported in part by the National Natural Science Foundation of China under Grants 62001107, No. 61971129, No. 61960206005, No. 61871128, Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant No. BK20190339, No. Bk20192002.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which utilizes a reconfigurable intelligent surface (RIS) for both the data and power transmission. We aim to maximize the information users’ (IUs’) sum data rate while guaranteeing the power harvesting requirements of energy users (EUs) and RIS. To solve the formulated non-convex problem, the block coordinate descent (BCD) based algorithm is adopted to alternately optimize the transmit precoding of IUs, RIS’s reflecting coefficients, and the position of RIS. Additionally, the penalty constrained convex approximation (PCCA) algorithm is proposed to optimize the deployment of the RIS, where the introduced penalties ensure that the solution is always feasible. The simulation results show that the proposed solution outperforms the benchmark schemes, and the proposed BCD algorithm can greatly improve the performance of the STIPT system.
AB - This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which utilizes a reconfigurable intelligent surface (RIS) for both the data and power transmission. We aim to maximize the information users’ (IUs’) sum data rate while guaranteeing the power harvesting requirements of energy users (EUs) and RIS. To solve the formulated non-convex problem, the block coordinate descent (BCD) based algorithm is adopted to alternately optimize the transmit precoding of IUs, RIS’s reflecting coefficients, and the position of RIS. Additionally, the penalty constrained convex approximation (PCCA) algorithm is proposed to optimize the deployment of the RIS, where the introduced penalties ensure that the solution is always feasible. The simulation results show that the proposed solution outperforms the benchmark schemes, and the proposed BCD algorithm can greatly improve the performance of the STIPT system.
KW - Energy harvesting
KW - intelligent reflecting surface (IRS)
KW - OFDM
KW - Precoding
KW - reconfigurable intelligent surface (RIS)
KW - Reconfigurable intelligent surfaces
KW - Reflection
KW - Simultaneous terahertz information and power transfer (STIPT)
KW - terahertz (THz) communications
KW - Transmitting antennas
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85123355873&partnerID=8YFLogxK
U2 - 10.1109/TWC.2022.3140268
DO - 10.1109/TWC.2022.3140268
M3 - Article
AN - SCOPUS:85123355873
VL - 21
SP - 5420
EP - 5434
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 7
ER -