Abstract
In this paper, we propose compressive sensing-based channel quantization feedback that is appropriate for practical massive multiple-input multiple-output (MIMO) systems. We assume that the base station (BS) has a compact (2-dimensional) uniform square array that has a highly correlated channel. To serve multiple users, the BS uses a zero-forcing precoder. Our proposed channel feedback algorithm can reduce feedback overhead as well as a codebook search complexity. Numerical simulations confirm our analytical results.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Communications Workshops, ICC 2014 |
| Publisher | IEEE Computer Society |
| Pages | 360-364 |
| Number of pages | 5 |
| ISBN (Print) | 9781479946402 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 2014 IEEE International Conference on Communications Workshops, ICC 2014 - Sydney, NSW, Australia Duration: 2014 Jun 10 → 2014 Jun 14 |
Publication series
| Name | 2014 IEEE International Conference on Communications Workshops, ICC 2014 |
|---|
Other
| Other | 2014 IEEE International Conference on Communications Workshops, ICC 2014 |
|---|---|
| Country | Australia |
| City | Sydney, NSW |
| Period | 14/6/10 → 14/6/14 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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Compressed channel feedback for correlated massive MIMO systems. / Lim, Yeon Geun; Chae, Chan Byoung.
2014 IEEE International Conference on Communications Workshops, ICC 2014. IEEE Computer Society, 2014. p. 360-364 6881223 (2014 IEEE International Conference on Communications Workshops, ICC 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Compressed channel feedback for correlated massive MIMO systems
AU - Lim, Yeon Geun
AU - Chae, Chan Byoung
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper, we propose compressive sensing-based channel quantization feedback that is appropriate for practical massive multiple-input multiple-output (MIMO) systems. We assume that the base station (BS) has a compact (2-dimensional) uniform square array that has a highly correlated channel. To serve multiple users, the BS uses a zero-forcing precoder. Our proposed channel feedback algorithm can reduce feedback overhead as well as a codebook search complexity. Numerical simulations confirm our analytical results.
AB - In this paper, we propose compressive sensing-based channel quantization feedback that is appropriate for practical massive multiple-input multiple-output (MIMO) systems. We assume that the base station (BS) has a compact (2-dimensional) uniform square array that has a highly correlated channel. To serve multiple users, the BS uses a zero-forcing precoder. Our proposed channel feedback algorithm can reduce feedback overhead as well as a codebook search complexity. Numerical simulations confirm our analytical results.
UR - http://www.scopus.com/inward/record.url?scp=84906763258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906763258&partnerID=8YFLogxK
U2 - 10.1109/ICCW.2014.6881223
DO - 10.1109/ICCW.2014.6881223
M3 - Conference contribution
AN - SCOPUS:84906763258
SN - 9781479946402
T3 - 2014 IEEE International Conference on Communications Workshops, ICC 2014
SP - 360
EP - 364
BT - 2014 IEEE International Conference on Communications Workshops, ICC 2014
PB - IEEE Computer Society
ER -