{"title":"The detection method for UE-Codebook Mismatch in grant-free SCMA IoT systems","authors":"Hua He, Yanxia Liang, Qiong Zhao","doi":"10.1016/j.phycom.2026.103026","DOIUrl":null,"url":null,"abstract":"<div><div>A detection algorithm for sparse code multiple access receivers in granted-free Internet of Things is proposed to address the detection problem under the condition of unknown UE-codebook matching at the base station. This problem entails a three-dimensional matching process involving UEs, codebooks, and codewords. The proposed algorithm treats each frequency resource block as an independent decoding layer and performs layer-wise decoding. To ensure both low computational complexity and high accuracy, the algorithm incorporates dynamic UE classification and a dual-threshold strategy. Simulation results demonstrate that, with the threshold being properly set, the computational complexity of the first decoding layer is reduced by up to 98.26%, and that of the second decoding layer by up to 96.8%. In addition, the computational complexity decreases progressively across decoding layers, achieving continuous layer-wise complexity reduction without requiring decoding on all available frequency resource blocks.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103026"},"PeriodicalIF":1.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490726000352","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/28 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
A detection algorithm for sparse code multiple access receivers in granted-free Internet of Things is proposed to address the detection problem under the condition of unknown UE-codebook matching at the base station. This problem entails a three-dimensional matching process involving UEs, codebooks, and codewords. The proposed algorithm treats each frequency resource block as an independent decoding layer and performs layer-wise decoding. To ensure both low computational complexity and high accuracy, the algorithm incorporates dynamic UE classification and a dual-threshold strategy. Simulation results demonstrate that, with the threshold being properly set, the computational complexity of the first decoding layer is reduced by up to 98.26%, and that of the second decoding layer by up to 96.8%. In addition, the computational complexity decreases progressively across decoding layers, achieving continuous layer-wise complexity reduction without requiring decoding on all available frequency resource blocks.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.