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 |
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| 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 |
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Other
| Other | 2014 IEEE International Conference on Communications Workshops, ICC 2014 |
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| Country | Australia |
| City | Sydney, NSW |
| Period | 14/6/10 → 14/6/14 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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Cite this
Lim, Y. G., & Chae, C. B. (2014). Compressed channel feedback for correlated massive MIMO systems. In 2014 IEEE International Conference on Communications Workshops, ICC 2014 (pp. 360-364). [6881223] (2014 IEEE International Conference on Communications Workshops, ICC 2014). IEEE Computer Society. https://doi.org/10.1109/ICCW.2014.6881223