### Abstract

The performance of ML detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in an infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and the minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error rate(VSER) over the given channel. To verify the results, we simulate ML performance over the various random channels which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation for the performance of ML detector over all random MIMO channels.

Original language | English |
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Title of host publication | 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings |

Pages | 2154-2158 |

Number of pages | 5 |

Publication status | Published - 2006 Dec 1 |

Event | 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia Duration: 2006 May 7 → 2006 Jul 10 |

### Publication series

Name | IEEE Vehicular Technology Conference |
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Volume | 5 |

ISSN (Print) | 1550-2252 |

### Other

Other | 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring |
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Country | Australia |

City | Melbourne |

Period | 06/5/7 → 06/7/10 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics

### Cite this

*2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings*(pp. 2154-2158). [1683237] (IEEE Vehicular Technology Conference; Vol. 5).