TY - JOUR
T1 - On the Performance of NOMA-Enhanced UAV-Relayed Smart Healthcare Systems Under Rician Fading
AU - Ye, Jing
AU - Li, Bing
AU - Feng, Ruixin
AU - Huang, Fanghui
AU - Lou, Junbin
AU - Li, Tao
AU - Wang, Dawei
AU - He, Yixin
N1 - Publisher Copyright:
© 2026 by the authors.
PY - 2026/4
Y1 - 2026/4
N2 - This paper investigates the application of cooperative relaying systems with non-orthogonal multiple access (NOMA) in low-altitude intelligent networking-enabled medical Internet of Things (IoT) and analyzes their transmission performance. First, to enhance the communication quality of remote base stations, we deploy a relaying unmanned aerial vehicle (UAV). A two-slot NOMA cooperative transmission mechanism is proposed accordingly. Next, for the NOMA-enhanced UAV-relayed smart healthcare system under Rician fading channels, an exact closed-form expression for the achievable rate is derived using the incomplete Gamma function. Then, to improve computational efficiency, a low-complexity approximation method based on Gauss–Chebyshev quadrature is designed, overcoming the high complexity of the exact expression. Finally, the simulation results validate a close match between the proposed approximation and the exact values (average approximation error below 6.17%), and demonstrate superior achievable rate performance compared to three state-of-the-art schemes.
AB - This paper investigates the application of cooperative relaying systems with non-orthogonal multiple access (NOMA) in low-altitude intelligent networking-enabled medical Internet of Things (IoT) and analyzes their transmission performance. First, to enhance the communication quality of remote base stations, we deploy a relaying unmanned aerial vehicle (UAV). A two-slot NOMA cooperative transmission mechanism is proposed accordingly. Next, for the NOMA-enhanced UAV-relayed smart healthcare system under Rician fading channels, an exact closed-form expression for the achievable rate is derived using the incomplete Gamma function. Then, to improve computational efficiency, a low-complexity approximation method based on Gauss–Chebyshev quadrature is designed, overcoming the high complexity of the exact expression. Finally, the simulation results validate a close match between the proposed approximation and the exact values (average approximation error below 6.17%), and demonstrate superior achievable rate performance compared to three state-of-the-art schemes.
KW - medical Internet of Things (IoT)
KW - non-orthogonal multiple access (NOMA)
KW - smart healthcare system
KW - unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/105037029277
U2 - 10.3390/drones10040299
DO - 10.3390/drones10040299
M3 - 文章
AN - SCOPUS:105037029277
SN - 2504-446X
VL - 10
JO - Drones
JF - Drones
IS - 4
M1 - 299
ER -