Abstract
In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 714-717 |
| Number of pages | 4 |
| Volume | 2018-July |
| ISBN (Print) | 9781538646465 |
| DOIs | |
| Publication status | Published - 2018 Aug 14 |
| Event | 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 - Prague, Czech Republic Duration: 2018 Jul 3 → 2018 Jul 6 |
Other
| Other | 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 18/7/3 → 18/7/6 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
Cite this
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A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems. / Jang, Youngrok; Lee, Dongheon; Choi, Sooyong.
ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. Vol. 2018-July IEEE Computer Society, 2018. p. 714-717 8436748.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems
AU - Jang, Youngrok
AU - Lee, Dongheon
AU - Choi, Sooyong
PY - 2018/8/14
Y1 - 2018/8/14
N2 - In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.
AB - In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.
UR - http://www.scopus.com/inward/record.url?scp=85052525963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052525963&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2018.8436748
DO - 10.1109/ICUFN.2018.8436748
M3 - Conference contribution
SN - 9781538646465
VL - 2018-July
SP - 714
EP - 717
BT - ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
ER -