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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiankang Zhang Sheng Chen Xiaomin Mu Hanzo, L. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China (Jiankang Zhang; Xiaomin Mu) || Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK (Sheng Chen; Hanzo, L.) |
| Abstract | Joint channel estimation (CE) and turbo multiuser detection (MUD)/decoding for space-division multiple-access based orthogonal frequency-division multiplexing communication has to consider both the decision-directed CE optimisation on a continuous search space and the MUD optimisation on a discrete search space, and it iteratively exchanges the estimated channel information and the detected data between the channel estimator and the turbo MUD/decoder to gradually improve the accuracy of both the CE and the MUD. We evaluate the capabilities of a group of evolutionary algorithms (EAs) to achieve optimal or near optimal solutions with affordable complexity in this challenging application. Our study confirms that the EA assisted joint CE and turbo MUD/decoder is capable of approaching both the Cramér-Rao lower bound of the optimal channel estimation and the bit error ratio performance of the idealised optimal turbo maximum likelihood (ML) MUD/decoder associated with the perfect channel state information, respectively, despite only imposing a fraction of the complexity of the idealised turbo ML-MUD/decoder. |
| Starting Page | 3354 |
| Ending Page | 3362 |
| File Size | 1253660 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479904532 |
| e-ISBN | 9781479904549 |
| e-ISBN | 9781479904525 |
| DOI | 10.1109/CEC.2013.6557981 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiuser detection Decoding Channel estimation Optimization Vectors Iterative decoding OFDM differential evolution algorithm Genetic algorithm repeated weighted boosting search particle swarm optimisation |
| Content Type | Text |
| Resource Type | Article |
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