2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)
DOI: 10.1109/icc.2002.997103
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Increasing CDMA capacity using multiple orthogonal spreading sequence sets and successive interference cancellation

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Cited by 36 publications
(23 citation statements)
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“…The major drawback of this type of technique is that if one of the bits of LoDR is wrongly estimated, then it can effect 'q' number of HDR bits. Error propagation can be minimized if hard decision is replaced by soft decision of received data bits [7,10,17]. In the last stage of iteration, the final decision is made by hard detector, Mukherjee…”
Section: Decoding Of B 1 Usersmentioning
confidence: 99%
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“…The major drawback of this type of technique is that if one of the bits of LoDR is wrongly estimated, then it can effect 'q' number of HDR bits. Error propagation can be minimized if hard decision is replaced by soft decision of received data bits [7,10,17]. In the last stage of iteration, the final decision is made by hard detector, Mukherjee…”
Section: Decoding Of B 1 Usersmentioning
confidence: 99%
“…The BER performance of Sub-PIC improves significantly by taking soft estimation of the interfering users. In soft decision Sub-PIC (SDSub-PIC), the estimation of the received data is performed by taking soft decisions using non-linear function [17]. The soft decision of X k is given bỹ…”
Section: Againẑmentioning
confidence: 99%
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“…In order to compare the performance of Cu systems with low TSAC sequences to WBE sequences of Sa systems, we make use of a turbo detector [8], where in each iteration, the data of the users are detected successively, taking account of an estimate of the interference, caused by the other users. In each iteration I we cancel the interference on user k caused by the other users, based on the most recently estimated values of the data symbols of the interfering users.…”
Section: Cancellationmentioning
confidence: 99%
“…Most of the research in the overloaded case is related to code design and multi-access interference (MAI) cancelation in order to decrease the probability of error. Examples of these types of codes are pseudo random spreading [9,10], Welsh Bound Equality (WBE) codes with minimal total square correlation (TSC) [11][12][13][14], OCDMA [15][16][17], Multiple-OCDMA [18], and PN/ OCDMA [19] signature sets. None of the above codes guarantee errorless transmission in the absence of channel noise for overloaded CDMA systems.…”
mentioning
confidence: 99%