{"title":"Cycle efficient and SNR dependent CQI Decoder implementation","authors":"Ajay Sharma, H. Anand","doi":"10.1109/ICACCS.2016.7586335","DOIUrl":null,"url":null,"abstract":"Channel quality indication (CQI) reports are vital element of Long Term Evolution (LTE) system in providing information on the downlink channel quality. The 3GPP standard mentions the encoding method for CQI is Reed Muller (RM) code and the transmission quality of CQI can be improved by channel coding with RM code. The paper presents a SNR dependent CQI Decoding mechanism over an existing method which utilizes the Fast Hadamard Transform (FHT) as the decoding scheme when CQI number of bits to be decoded is greater than or equal to 11 and the Viterbi Decoding scheme when CQI number of bits to be decoded is greater than 11. The idea in this paper is to present a cycle efficient CQI decoding method where simulations on various Signal to Noise Ratio (SNR) levels, channel types along with the Million Cycles per Second (MCPS) have been have been carried out and have been present.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Channel quality indication (CQI) reports are vital element of Long Term Evolution (LTE) system in providing information on the downlink channel quality. The 3GPP standard mentions the encoding method for CQI is Reed Muller (RM) code and the transmission quality of CQI can be improved by channel coding with RM code. The paper presents a SNR dependent CQI Decoding mechanism over an existing method which utilizes the Fast Hadamard Transform (FHT) as the decoding scheme when CQI number of bits to be decoded is greater than or equal to 11 and the Viterbi Decoding scheme when CQI number of bits to be decoded is greater than 11. The idea in this paper is to present a cycle efficient CQI decoding method where simulations on various Signal to Noise Ratio (SNR) levels, channel types along with the Million Cycles per Second (MCPS) have been have been carried out and have been present.