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| Content Provider | Springer Nature Link |
|---|---|
| Author | Abrão, Taufik Oliveira, Leonardo D. Ciriaco, Fernando Angélico, Bru A. Jeszensky, Paul Jean E. Casadevall Palacio, Fernando Jose |
| Copyright Year | 2009 |
| Abstract | This paper analyzes the complexity-performance trade-off of several heuristic near-optimum multiuser detection (MuD) approaches applied to the uplink of synchronous single/multiple-input multiple-output multicarrier code division multiple access (S/MIMO MC-CDMA) systems. Genetic algorithm (GA), short term tabu search (STTS) and reactive tabu search (RTS), simulated annealing (SA), particle swarm optimization (PSO), and 1-opt local search (1-LS) heuristic multiuser detection algorithms (Heur-MuDs) are analyzed in details, using a single-objective antenna-diversity-aided optimization approach. Monte- Carlo simulations show that, after convergence, the performances reached by all near-optimum Heur-MuDs are similar. However, the computational complexities may differ substantially, depending on the system operation conditions. Their complexities are carefully analyzed in order to obtain a general complexity-performance framework comparison and to show that unitary Hamming distance search MuD (uH-ds) approaches (1-LS, SA, RTS and STTS) reach the best convergence rates, and among them, the 1-LS-MuD provides the best trade-off between implementation complexity and bit error rate (BER) performance. |
| Starting Page | 529 |
| Ending Page | 553 |
| Page Count | 25 |
| File Format | |
| ISSN | 09296212 |
| Journal | Wireless Personal Communications |
| Volume Number | 53 |
| Issue Number | 4 |
| e-ISSN | 1572834X |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2009-04-15 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | MC-CDMA S/MIMO Multiuser detection Heuristic methods Tabu search Genetic algorithm Particle swarm optimization Simulated annealing Local search Single-objective optimization Computational complexity Computer Communication Networks Signal, Image and Speech Processing Communications Engineering, Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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