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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kyar-Chan Huang Wen-Hsien Fang Hoang-Yang Lu |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei (Kyar-Chan Huang; Wen-Hsien Fang) |
| Abstract | To meet the rapidly growing demand of quality of service (QoS) while lowering the hardware cost such as the RF chains associated with antennas in the uplink of multiuser multi-input multi-output (MIMO) systems, this paper presents a simple, yet effective scheme for joint receive antenna selection and symbol detection based on the maximum likelihood (ML) criterion. This joint approach, however, is highly nonlinear. Aiming at solving the complex nonlinear optimization with reduced computational overhead, a variant of the conventional genetic algorithm (GA) is employed. Conducted simulations show that the new approach yields superior performance with reduced computational complexity compared with pervious works in various scenarios. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 216080 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424421077 |
| DOI | 10.1109/WiCom.2008.115 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radio frequency Maximum likelihood detection Costs Computational modeling Receiving antennas Quality of service MIMO Hardware Computational complexity Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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