{"title":"利用变换编码和位分配的有效信道质量反馈信令","authors":"Behrooz Makki, T. Eriksson","doi":"10.1109/VETECS.2010.5493837","DOIUrl":null,"url":null,"abstract":"Recently, substantial attention has been paid to compress the channel quality information feedback while preserving most of its relevant information, as required for Adaptive Modulation and Coding (AMC). This paper compares the performance of some lossy feedback compression methods and, particularly, investigate the effect of bit allocation on their performance. Simulation results show that the Discrete Cosine Transform (DCT) approach, along with our proposed bit allocation method, leads to the best feedback compression performance.","PeriodicalId":325246,"journal":{"name":"2010 IEEE 71st Vehicular Technology Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Efficient Channel Quality Feedback Signaling Using Transform Coding and Bit Allocation\",\"authors\":\"Behrooz Makki, T. Eriksson\",\"doi\":\"10.1109/VETECS.2010.5493837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, substantial attention has been paid to compress the channel quality information feedback while preserving most of its relevant information, as required for Adaptive Modulation and Coding (AMC). This paper compares the performance of some lossy feedback compression methods and, particularly, investigate the effect of bit allocation on their performance. Simulation results show that the Discrete Cosine Transform (DCT) approach, along with our proposed bit allocation method, leads to the best feedback compression performance.\",\"PeriodicalId\":325246,\"journal\":{\"name\":\"2010 IEEE 71st Vehicular Technology Conference\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 71st Vehicular Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETECS.2010.5493837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 71st Vehicular Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECS.2010.5493837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Channel Quality Feedback Signaling Using Transform Coding and Bit Allocation
Recently, substantial attention has been paid to compress the channel quality information feedback while preserving most of its relevant information, as required for Adaptive Modulation and Coding (AMC). This paper compares the performance of some lossy feedback compression methods and, particularly, investigate the effect of bit allocation on their performance. Simulation results show that the Discrete Cosine Transform (DCT) approach, along with our proposed bit allocation method, leads to the best feedback compression performance.