物联网学报2025，Vol.9Issue(1)：71-81,11.DOI:10.11959/j.issn.2096-3750.2025.00422
卫星物联网中基于状态位置信息的低复杂度SCMA多用户检测算法
A low-complexity SCMA multi-user detection algorithm based on state position information for satellite IoT
摘要
Abstract
Satellite-based Internet of Things is critical to realize the intelligent connection of all things in 6G.However,the dual constraints of spectrum resources and onboard payload capabilities present significant challenges in enhancing ac-cess efficiency for a massive number of users.To deal with the problem of low multi-user detection efficiency in satellite-borne receivers utilizing sparse code multiple access(SCMA),a state position information based log message passing al-gorithm(SPI-Log-MPA)by taking the variability of the transmission probability of codewords during the iterative process into account was proposed.Through reducing unreliable codewords,decoding stable users in advance,and implementing a reward and penalty mechanism for unstable users,the proposed algorithm significantly improves detection efficiency.In addition,a two-phase improved algorithm was also proposed by optimizing both the phase setting and state position infor-mation matrices,which further accelerates the algorithm convergence.Complexity analysis and simulation results demon-strate that the proposed two algorithms can achieve lower computational complexities while maintaining the bit error rate(BER)performance.关键词
卫星物联网/稀疏码多址接入/多用户检测/消息传递算法/状态位置信息Key words
satellite Internet of things/sparse code multiple access/multi-user detection/message passing algorithm/state position information分类
电子信息工程引用本文复制引用
甄立,王嘉浩,何华,卢光跃..卫星物联网中基于状态位置信息的低复杂度SCMA多用户检测算法[J].物联网学报,2025,9(1):71-81,11.基金项目
国家自然科学基金资助项目(No.61901370) （No.61901370）
陕西省创新能力支撑计划(No.2023KJXX-062) （No.2023KJXX-062）
陕西省重点研发计划(No.2024GX-YBXM-064) （No.2024GX-YBXM-064）
陕西省教育厅重点项目(No.23JS057)The National Natural Science Foundation of China(No.61901370),The Innovation Capability Support Program of Shaanxi(No.2023KJXX-062),The Key Research and Development Program of Shaanxi(No.2024GX-YBXM-064),The Scien-tific Research Program of Shaanxi Provincial Education Department(No.23JS057) （No.23JS057）
