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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tan Bien Aik Motani, M. Lim Teng Joon |
| Copyright Year | 2002 |
| Description | Author affiliation: DSO Nat. Labs., Singapore, Singapore (Tan Bien Aik) |
| Abstract | It is well known that jointly-optimum multiuser detection (MUD) in code division multiple access (CDMA) systems has a computational complexity that increases exponentially with the number of users. If the signal cross-correlations between different users are non-positive, then optimum MUD can be done with polynomial complexity using graph theory. The MUD problem is transformed into one that solves for the minimum cut (min-cut) or maximum flow (max-flow) in an associated graph or network. An alternative method to transform the MUD problem into a network, that sees a reduction in the number of edges by 50 percent, is proposed. This results in minimizing the already polynomial-complexity of existing multiuser detection techniques based on edge-dependent max-flow algorithms. |
| Starting Page | 889 |
| Ending Page | 893 |
| File Size | 237470 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780375106 |
| DOI | 10.1109/ICCS.2002.1183261 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-11-28 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Polynomials Multiuser detection Multiaccess communication Maximum likelihood detection Maximum likelihood estimation Computational complexity Graph theory Covariance matrix Code division multiplexing Additive white noise |
| Content Type | Text |
| Resource Type | Article |
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