TY - GEN
T1 - Intelligent Reflecting Surfaces-Supported Terahertz NOMA Communications
AU - Pan, Yijin
AU - Wang, Kezhi
AU - Pan, Cunhua
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 - 2022/4/10
Y1 - 2022/4/10
N2 - In this paper, the sum rate is maximized for the intelligent reflective surface (IRS) assisted terahertz (THz) non-orthogonal multiple access (NOMA) communication system. A novel algorithm is proposed to alternatively optimize the IRS phase shift, the sub-band allocation, and power control. To tackle the formulated non-convex problem, we utilize the auxiliary variables to find the feasible initialization solution meanwhile guarantee the individual rate requirements. The decoding order of successive interference cancellation (SIC) is determined according to channel gain maximization, and the IRS phase is further adjusted to improve the sum rate. A long-distance priority (LDP) algorithm is then proposed to compensate for the distance-dependent THz pathloss attenuation, and a blocking pair eliminating (BPE) algorithm is proposed to obtain a stable THz sub-band allocation. Simulation results show that the proposed scheme significantly enhances the sum-rate performance of the IRS-assisted THz NOMA networks.
AB - In this paper, the sum rate is maximized for the intelligent reflective surface (IRS) assisted terahertz (THz) non-orthogonal multiple access (NOMA) communication system. A novel algorithm is proposed to alternatively optimize the IRS phase shift, the sub-band allocation, and power control. To tackle the formulated non-convex problem, we utilize the auxiliary variables to find the feasible initialization solution meanwhile guarantee the individual rate requirements. The decoding order of successive interference cancellation (SIC) is determined according to channel gain maximization, and the IRS phase is further adjusted to improve the sum rate. A long-distance priority (LDP) algorithm is then proposed to compensate for the distance-dependent THz pathloss attenuation, and a blocking pair eliminating (BPE) algorithm is proposed to obtain a stable THz sub-band allocation. Simulation results show that the proposed scheme significantly enhances the sum-rate performance of the IRS-assisted THz NOMA networks.
KW - Intelligent reflective surface (IRS)
KW - reconfigurable intelligent surface (RIS)
KW - terahertz (THz) communications
KW - non-orthogonal multiple access (NOMA)
UR - http://www.scopus.com/inward/record.url?scp=85130728010&partnerID=8YFLogxK
U2 - 10.1109/wcnc51071.2022.9771637
DO - 10.1109/wcnc51071.2022.9771637
M3 - Conference contribution
SN - 9781665442671
T3 - Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC)
SP - 1743
EP - 1748
BT - 2022 IEEE Wireless Communications and Networking Conference (WCNC)
PB - IEEE
CY - Piscataway, US
ER -