Mingjun Dai, Wanru Li, Chanting Zhang, Xiaohui Lin, Bin Chen
{"title":"具有新开销界的稀疏Rev-Shift编码调制","authors":"Mingjun Dai, Wanru Li, Chanting Zhang, Xiaohui Lin, Bin Chen","doi":"10.23919/jcc.fa.2022-0678.202310","DOIUrl":null,"url":null,"abstract":"To provide reliability in distributed systems, combination property (CP) is desired, where k original packets are encoded into n ≥ k packets and arbitrary k are sufficient to reconstruct all the original packets. Shift-and-add (SA) encoding combined with zigzag decoding (ZD) obtains the CP-ZD, which is promising to reap low computational complexity in the encoding/decoding process of these systems. As densely coded modulation is difficult to achieve CP-ZD, research attentions are paid to sparse coded modulation. The drawback of existing sparse CP-ZD coded modulation lies in high overhead, especially in widely deployed setting m < k, where <tex xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">m\\,\\,\\,{_=^\\triangle}\\,\\,n-k</tex> . For this scenario, namely, m < k, a sparse reverseorder shift (Rev-Shift) CP-ZD coded modulation is designed. The proof that Rev-Shift possesses CP-ZD is provided. A lower bound for the overhead, as far as we know is the first for sparse CP-ZD coded modulation, is derived. The bound is found tight in certain scenarios, which shows the code optimality. Extensive numerical studies show that compared to existing sparse CP-ZD coded modulation, the overhead of Rev-Shift reduces significantly, and the derived lower bound is tight when k or m approaches 0.","PeriodicalId":9814,"journal":{"name":"China Communications","volume":"42 1","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sparse Rev-Shift coded modulation with novel overhead bound\",\"authors\":\"Mingjun Dai, Wanru Li, Chanting Zhang, Xiaohui Lin, Bin Chen\",\"doi\":\"10.23919/jcc.fa.2022-0678.202310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To provide reliability in distributed systems, combination property (CP) is desired, where k original packets are encoded into n ≥ k packets and arbitrary k are sufficient to reconstruct all the original packets. Shift-and-add (SA) encoding combined with zigzag decoding (ZD) obtains the CP-ZD, which is promising to reap low computational complexity in the encoding/decoding process of these systems. As densely coded modulation is difficult to achieve CP-ZD, research attentions are paid to sparse coded modulation. The drawback of existing sparse CP-ZD coded modulation lies in high overhead, especially in widely deployed setting m < k, where <tex xmlns:mml=\\\"http://www.w3.org/1998/Math/MathML\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\">m\\\\,\\\\,\\\\,{_=^\\\\triangle}\\\\,\\\\,n-k</tex> . For this scenario, namely, m < k, a sparse reverseorder shift (Rev-Shift) CP-ZD coded modulation is designed. The proof that Rev-Shift possesses CP-ZD is provided. A lower bound for the overhead, as far as we know is the first for sparse CP-ZD coded modulation, is derived. The bound is found tight in certain scenarios, which shows the code optimality. Extensive numerical studies show that compared to existing sparse CP-ZD coded modulation, the overhead of Rev-Shift reduces significantly, and the derived lower bound is tight when k or m approaches 0.\",\"PeriodicalId\":9814,\"journal\":{\"name\":\"China Communications\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/jcc.fa.2022-0678.202310\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/jcc.fa.2022-0678.202310","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Sparse Rev-Shift coded modulation with novel overhead bound
To provide reliability in distributed systems, combination property (CP) is desired, where k original packets are encoded into n ≥ k packets and arbitrary k are sufficient to reconstruct all the original packets. Shift-and-add (SA) encoding combined with zigzag decoding (ZD) obtains the CP-ZD, which is promising to reap low computational complexity in the encoding/decoding process of these systems. As densely coded modulation is difficult to achieve CP-ZD, research attentions are paid to sparse coded modulation. The drawback of existing sparse CP-ZD coded modulation lies in high overhead, especially in widely deployed setting m < k, where m\,\,\,{_=^\triangle}\,\,n-k . For this scenario, namely, m < k, a sparse reverseorder shift (Rev-Shift) CP-ZD coded modulation is designed. The proof that Rev-Shift possesses CP-ZD is provided. A lower bound for the overhead, as far as we know is the first for sparse CP-ZD coded modulation, is derived. The bound is found tight in certain scenarios, which shows the code optimality. Extensive numerical studies show that compared to existing sparse CP-ZD coded modulation, the overhead of Rev-Shift reduces significantly, and the derived lower bound is tight when k or m approaches 0.
期刊介绍:
China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide.
The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology.
China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.