Donghwa Han;Bowhyung Lee;Min Jang;Donghun Lee;Seho Myung;Namyoon Lee
{"title":"块正交稀疏叠加码用于L3通信:低错误率,低延迟,低传输功率","authors":"Donghwa Han;Bowhyung Lee;Min Jang;Donghun Lee;Seho Myung;Namyoon Lee","doi":"10.1109/JSAC.2025.3531569","DOIUrl":null,"url":null,"abstract":"Block Orthogonal Sparse Superposition (BOSS) codes are a promising class of joint coded modulation techniques that can closely approach the finite-blocklength capacity with low-complexity decoding at low code rates under Gaussian channels. However, in fading channels, the performance of BOSS codes degrades considerably due to varying channel fading effects on coded symbols. This paper presents a unified approach to extending BOSS codes to practical fading scenarios and introduces novel joint demodulation and decoding solutions. For fast-fading channels, we propose a minimum mean square error approximation maximum a posteriori (MMSE-A-MAP) algorithm that integrates demodulation and decoding when channel state information is available at the receiver (CSIR). Additionally, for block-fading channels without CSIR, we introduce a joint demodulation and decoding method, referred to as the non-coherent sphere decoding (NSD) algorithm. Simulation results demonstrate that BOSS codes with MMSE-A-MAP decoding outperform 5G polar codes, while the NSD algorithm achieves performance comparable to quasi-maximum likelihood decoding but with significantly reduced complexity. Both decoding methods can be implemented for parallel processing, allowing them to meet low-latency requirements. Furthermore, real-time simulations on a software-defined radio testbed validate the feasibility of using BOSS codes for low-power transmission.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 4","pages":"1183-1199"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Block Orthogonal Sparse Superposition Codes for L3 Communications: Low Error Rate, Low Latency, and Low Transmission Power\",\"authors\":\"Donghwa Han;Bowhyung Lee;Min Jang;Donghun Lee;Seho Myung;Namyoon Lee\",\"doi\":\"10.1109/JSAC.2025.3531569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Block Orthogonal Sparse Superposition (BOSS) codes are a promising class of joint coded modulation techniques that can closely approach the finite-blocklength capacity with low-complexity decoding at low code rates under Gaussian channels. However, in fading channels, the performance of BOSS codes degrades considerably due to varying channel fading effects on coded symbols. This paper presents a unified approach to extending BOSS codes to practical fading scenarios and introduces novel joint demodulation and decoding solutions. For fast-fading channels, we propose a minimum mean square error approximation maximum a posteriori (MMSE-A-MAP) algorithm that integrates demodulation and decoding when channel state information is available at the receiver (CSIR). Additionally, for block-fading channels without CSIR, we introduce a joint demodulation and decoding method, referred to as the non-coherent sphere decoding (NSD) algorithm. Simulation results demonstrate that BOSS codes with MMSE-A-MAP decoding outperform 5G polar codes, while the NSD algorithm achieves performance comparable to quasi-maximum likelihood decoding but with significantly reduced complexity. Both decoding methods can be implemented for parallel processing, allowing them to meet low-latency requirements. Furthermore, real-time simulations on a software-defined radio testbed validate the feasibility of using BOSS codes for low-power transmission.\",\"PeriodicalId\":73294,\"journal\":{\"name\":\"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society\",\"volume\":\"43 4\",\"pages\":\"1183-1199\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10845812/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10845812/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Block Orthogonal Sparse Superposition Codes for L3 Communications: Low Error Rate, Low Latency, and Low Transmission Power
Block Orthogonal Sparse Superposition (BOSS) codes are a promising class of joint coded modulation techniques that can closely approach the finite-blocklength capacity with low-complexity decoding at low code rates under Gaussian channels. However, in fading channels, the performance of BOSS codes degrades considerably due to varying channel fading effects on coded symbols. This paper presents a unified approach to extending BOSS codes to practical fading scenarios and introduces novel joint demodulation and decoding solutions. For fast-fading channels, we propose a minimum mean square error approximation maximum a posteriori (MMSE-A-MAP) algorithm that integrates demodulation and decoding when channel state information is available at the receiver (CSIR). Additionally, for block-fading channels without CSIR, we introduce a joint demodulation and decoding method, referred to as the non-coherent sphere decoding (NSD) algorithm. Simulation results demonstrate that BOSS codes with MMSE-A-MAP decoding outperform 5G polar codes, while the NSD algorithm achieves performance comparable to quasi-maximum likelihood decoding but with significantly reduced complexity. Both decoding methods can be implemented for parallel processing, allowing them to meet low-latency requirements. Furthermore, real-time simulations on a software-defined radio testbed validate the feasibility of using BOSS codes for low-power transmission.