Your browser doesn't support javascript.
loading
Joint Intra/Inter-Slot Code Design for Unsourced Multiple Access in 6G Internet of Things.
Li, Yuanjie; Niu, Kai; Dong, Chao; Suo, Shiqiang; Lin, Jiaru.
  • Li Y; Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Niu K; Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Dong C; Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Suo S; CICT Mobile Communication Technology Co., Ltd., Beijing 100190, China.
  • Lin J; Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel) ; 23(1)2022 Dec 26.
Article en En | MEDLINE | ID: mdl-36616840
ABSTRACT
Unsourced multiple access (UMA) is the technology for massive, low-power, and uncoordinated Internet-of-Things in the 6G wireless system, improving connectivity and energy efficiency on guaranteed reliability. The multi-user coding scheme design is a critical problem for UMA. This paper proposes a UMA coding scheme based on the T-Fold IRSA (irregular repetition slotted Aloha) paradigm by using joint Intra/inter-slot code design and optimization. Our scheme adopts interleave-division multiple access (IDMA) to enhance the intra-slot coding gain and the low-complexity joint intra/inter-slot SIC (successive interference cancellation) decoder structure to recover multi-user payloads. Based on the error event decomposition and density evolution analysis, we build a joint intra/inter-slot coding parameter optimization algorithm to minimize the SNR (signal-to-noise ratio) requirement at an expected system packet loss rate. Numerical results indicate that the proposed scheme achieves energy efficiency gain by balancing the intra/inter-slot coding gain while maintaining relatively low implementation complexity.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2022 Tipo del documento: Article