| 大会名称 |
| 2017年 ソサイエティ大会 |
| 大会コ－ド |
| 2017S |
| 開催年 |
|
2017
|
| 発行日 |
|
|
| セッション番号 |
|
B-5A
|
| セッション名 |
|
無線通信システムA
|
| 講演日 |
|
2017/9/12
|
| 講演場所(会議室等) |
|
1号館 1BJ
|
| 講演番号 |
|
B-5-15
|
| タイトル |
|
Complexity Comparison of QRM-MLD and Gibbs Sampling MIMO Detection with MRC
|
| 著者名 |
|
Sijie Lin, ○Yukitoshi Sanada,
|
| キーワード |
|
MIMO, Gibbs Sampling, QRM-MLD
|
| 抄録 |
|
With the development of wireless communication technology, multi-input multi-output (MIMO) technique is being discussed. To improve efficiency, besides the bit error rate (BER), reduction of complexity is also an important issue. Though maximum likelihood detection (MLD) achieves the best BER performance, the complexity of MLD is extremely large as it increases exponentially with the number of signal streams. Another MIMO detection scheme, Gibbs sampling with Maximum Ratio Combining (MRC), achieves the similar performance of MLD and the complexity of metric calculation can be reduced.
|
| 本文pdf |
|
PDF download
|
