Low-complexity iterative multiuser detection and decoding for real-time applications
This paper presents a low-complexity multiuser decoding technique that can be implemented in real time for a convolutionally coded direct sequence code division multiple access (DS-CDMA) system. The main contribution, denoted here as the iterative prior update (IPU), consists of iterative interferen...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2005-07, Vol.4 (4), p.1455-1460 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Das, S. Erkip, E. Cavallaro, J.R. Behnaam Aazhang |
| description | This paper presents a low-complexity multiuser decoding technique that can be implemented in real time for a convolutionally coded direct sequence code division multiple access (DS-CDMA) system. The main contribution, denoted here as the iterative prior update (IPU), consists of iterative interference cancellation and prior updates on sequences of coded bits combined with M-algorithm and list decoding. We illustrate performance gains over other low-complexity sequence detection and decoding strategies and argue that the algorithm converges within a few iterations and requires only a small size buffer for keeping track of the priors along iterations. The fact that the we can use existing available architectures for Viterbi decoding with slight modifications and can meet the real-time processing constraints makes the IPU algorithm an attractive alternative for cellular systems. |
| doi_str_mv | 10.1109/TWC.2005.850314 |
| format | Article |
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The main contribution, denoted here as the iterative prior update (IPU), consists of iterative interference cancellation and prior updates on sequences of coded bits combined with M-algorithm and list decoding. We illustrate performance gains over other low-complexity sequence detection and decoding strategies and argue that the algorithm converges within a few iterations and requires only a small size buffer for keeping track of the priors along iterations. The fact that the we can use existing available architectures for Viterbi decoding with slight modifications and can meet the real-time processing constraints makes the IPU algorithm an attractive alternative for cellular systems.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Buffers</subject><subject>Cancellation</subject><subject>Convolutional codes</subject><subject>Decoding</subject><subject>Direct-sequence code-division multiple access</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Gain</subject><subject>Interference cancellation</subject><subject>Iterative algorithms</subject><subject>Iterative decoding</subject><subject>Iterative detection and decoding</subject><subject>list decoding</subject><subject>Mobile radiocommunication systems</subject><subject>Multiaccess communication</subject><subject>Multiuser detection</subject><subject>multiuser detection and decoding</subject><subject>Performance gain</subject><subject>Radiocommunications</subject><subject>Real time</subject><subject>Real time systems</subject><subject>Strategy</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Viterbi algorithm</subject><subject>Wireless communication</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90U1r3DAQBmBTGmia9NxDLybQ9uSNRp_WsSxpG1jIZUOOQiuPi4JtOZLcJP8-MhsI9NCTJPTMwMxbVZ-BbACIvtzfbTeUELFpBWHA31WnIETbUMrb9-udyQaokh-qjyndEwJKCnFa7XfhsXFhnAd88vm59hmjzf4v1uMyZL8kjHWHGV32Yart1JWXC52f_tR9iHVEOzTZj1jbeR68sytL59VJb4eEn17Ps-r259V--7vZ3fy63v7YNY5TmhtOlHCge4QDpVQ77YACwR5JS1pJDtCRjmnVgVYHwiRzTmCHSmNXBmZSsrPq-7HvHMPDgimb0SeHw2AnDEsyGrjkXLW6yG__lbQlVFLOCrz4B96HJU5lCtNKTYFzzQu6PCIXQ0oRezNHP9r4bICYNQxTwjBrGOYYRqn4-trWJmeHPtrJ-fRWpoAKxWlxX47OI-Lbt1gXI9kLppyRsg</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>Das, S.</creator><creator>Erkip, E.</creator><creator>Cavallaro, J.R.</creator><creator>Behnaam Aazhang</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The main contribution, denoted here as the iterative prior update (IPU), consists of iterative interference cancellation and prior updates on sequences of coded bits combined with M-algorithm and list decoding. We illustrate performance gains over other low-complexity sequence detection and decoding strategies and argue that the algorithm converges within a few iterations and requires only a small size buffer for keeping track of the priors along iterations. The fact that the we can use existing available architectures for Viterbi decoding with slight modifications and can meet the real-time processing constraints makes the IPU algorithm an attractive alternative for cellular systems.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2005.850314</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Applied sciences Buffers Cancellation Convolutional codes Decoding Direct-sequence code-division multiple access Equipments and installations Exact sciences and technology Gain Interference cancellation Iterative algorithms Iterative decoding Iterative detection and decoding list decoding Mobile radiocommunication systems Multiaccess communication Multiuser detection multiuser detection and decoding Performance gain Radiocommunications Real time Real time systems Strategy Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Viterbi algorithm Wireless communication |
| title | Low-complexity iterative multiuser detection and decoding for real-time applications |
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