Abstract
Large MIMO system can achieve high data rate with simple linear transceiver. However, for this advantage, long time is required to estimate channel state information (CSI) at base station (BS). When estimation time is not negligible in coherence time, there exists tradeoff between estimation and data transmission. With long estimation time, data rate increases, but data transmission time decreases. Otherwise, with short estimation time, data rate decreases, but data transmission time increases. Therefore, maximizing not data rate itself but effective rate is required in large MIMO system. We mathematize an effective rate problem in a reasonable large MIMO system, and prove its concavity and find the optimal tradeoff point.
| Original language | English |
|---|---|
| Title of host publication | 2012 9th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2012 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9781467325042 |
| DOIs | |
| Publication status | Published - 2012 Jan 1 |
| Event | 2012 9th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2012 - Incheon, Korea, Republic of Duration: 2012 Nov 5 → 2012 Nov 6 |
Other
| Other | 2012 9th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2012 |
|---|---|
| Country | Korea, Republic of |
| City | Incheon |
| Period | 12/11/5 → 12/11/6 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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Effective rate maximization in large MIMO multiuser system. / Choi, Ilgyu; Lee, Chungyong.
2012 9th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2012. IEEE Computer Society, 2012. 6606978.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Effective rate maximization in large MIMO multiuser system
AU - Choi, Ilgyu
AU - Lee, Chungyong
PY - 2012/1/1
Y1 - 2012/1/1
N2 - Large MIMO system can achieve high data rate with simple linear transceiver. However, for this advantage, long time is required to estimate channel state information (CSI) at base station (BS). When estimation time is not negligible in coherence time, there exists tradeoff between estimation and data transmission. With long estimation time, data rate increases, but data transmission time decreases. Otherwise, with short estimation time, data rate decreases, but data transmission time increases. Therefore, maximizing not data rate itself but effective rate is required in large MIMO system. We mathematize an effective rate problem in a reasonable large MIMO system, and prove its concavity and find the optimal tradeoff point.
AB - Large MIMO system can achieve high data rate with simple linear transceiver. However, for this advantage, long time is required to estimate channel state information (CSI) at base station (BS). When estimation time is not negligible in coherence time, there exists tradeoff between estimation and data transmission. With long estimation time, data rate increases, but data transmission time decreases. Otherwise, with short estimation time, data rate decreases, but data transmission time increases. Therefore, maximizing not data rate itself but effective rate is required in large MIMO system. We mathematize an effective rate problem in a reasonable large MIMO system, and prove its concavity and find the optimal tradeoff point.
UR - http://www.scopus.com/inward/record.url?scp=84886028855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886028855&partnerID=8YFLogxK
U2 - 10.1109/CEWIT.2012.6606978
DO - 10.1109/CEWIT.2012.6606978
M3 - Conference contribution
AN - SCOPUS:84886028855
SN - 9781467325042
BT - 2012 9th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2012
PB - IEEE Computer Society
ER -