Title: Random access based on sparse code multiple access for uplink IoT networks

Authors: Qihua Huang; Xiaotian Guo; Dejian Li; Yongli Chen; Liancheng Wang; Bin Bai; Gang Xie

Addresses: Beijing Smartchip Microelectronics Technology Co. Ltd., No. 79, Shuangying West Road, Nanshao Town, Changping District, Beijing, 102200, China ' School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China ' Beijing Smartchip Microelectronics Technology Co. Ltd., No. 79, Shuangying West Road, Nanshao Town, Changping District, Beijing, 102200, China ' Beijing Smartchip Microelectronics Technology Co. Ltd., No. 79, Shuangying West Road, Nanshao Town, Changping District, Beijing, 102200, China ' Beijing Smartchip Microelectronics Technology Co. Ltd., No. 79, Shuangying West Road, Nanshao Town, Changping District, Beijing, 102200, China ' School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China ' School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract: With the rising needs of low-end and low-cost internet of things communication devices, accessing more devices under limited spectrum resources has become a great research. The sparse characteristics of sparse code multiple access (SCMA) and the anti-interference performance of its codebook make it one of the research hotspots of non-orthogonal multiple access technology. To consider uplink random access, the uplink-OFDMA random access (UORA) in the next-generation Wi-Fi protocols has great potential to be combined with SCMA. This article proposes a random access scheme based on highly reliable SCMA-UORA. This solution is divided into codebook selection and arbitration screening stages. Experimental simulations show that in massive random access scenario, compared with UORA, the solution proposed has a throughput gain of about 95%~178% when the number of terminals participating in the competition is greater than 55; compared with the current cutting-edge UORA, the throughput gain is about 7%~32%.

Keywords: internet of things; uplink-OFDMA random access; sparse code multiple access; SCMA; random access.

DOI: 10.1504/IJSNET.2025.146143

International Journal of Sensor Networks, 2025 Vol.48 No.1, pp.20 - 29

Received: 09 Sep 2024
Accepted: 20 Sep 2024
Published online: 07 May 2025 *

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