Energy-Efficient Transmission for ASTARS Empowered NOMA Satellite IoT With Finite Blocklength

Wang, Qiang and Luo, Li and Qin, Xintong and Song, Zhengyu and Wang, Jun and Hou, Tianwei and Li, Anna (2026) Energy-Efficient Transmission for ASTARS Empowered NOMA Satellite IoT With Finite Blocklength. IEEE Internet of Things Journal, 13 (1). pp. 138-151. ISSN 2327-4662

Full text not available from this repository.

Abstract

This paper investigates the maximization of energy efficiency in an active simultaneously transmitting and reflecting reconfigurable intelligent surface (ASTARS) empowered non-orthogonal multiple access (NOMA) satellite Internet of Things (IoT) with finite blocklength (FBL) transmission. The activated IoT devices (AIoTDs) in the coverage area can be divided into activated reflection-region IoTDs (ARDs) and activated transmission-region IoTDs (ATDs). Drawing on the capability of ASTARS to efficiently establish cascaded links across full-space, thereby enabling more effective adjustment of uplink signal transmission. The ASTARS can properly amplify signal to mitigate its multiplicative fading and long-distance uplink transmission attenuation, which introduce new degrees of freedom (DoF) into the optimization process. Considering the massive-access requirements of the constrained battery-life IoTDs, two device pairing strategies, namely strong-ARD poor-ATD pairing (SPP) and strong-ARD strong-ATD pairing (SSP), are proposed to enable short-packet data transmission. The penalty alternating iterative algorithm (PAIA) is proposed by jointly optimizing the binary matching coefficient, ASTARS coefficient matrix and AIoTDs transmission power. Simulation results illustrate that 1) the ASTARS can achieve the highest energy efficiency than the passive simultaneously transmitting and reflecting surface (PSTARS) and without reconfigurable intelligent surface (RIS); 2) SPP demonstrates superior performance compared to SSP; 3) an optimal number of ASTARS elements exists for each distinct ASTARS maximum amplification coefficient.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Internet of Things Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1711
Subjects:
?? signal processinginformation systemsinformation systems and managementcomputer science applicationshardware and architecturecomputer networks and communications ??
Departments:
ID Code:
236334
Deposited By:
Deposited On:
30 Mar 2026 11:55
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Mar 2026 21:50