Impact of Channel Estimation Error on the Sum-Rate in MIMO Broadcast Channels with User Selection
Summary :
We investigate the MIMO broadcast channels with imperfect channel knowledge due to estimation error and much more users than transmit antennas to exploit multiuser diversity. The channel estimation error causes the interference among users, resulting in the sum-rate loss. A tight upper bound of this sum-rate loss based on zeroforcing beamforming is derived theoretically. This bound only depends on the channel estimation quality and transmit antenna number, but not on the user number. Based on this upper bound, we show this system maintains full multiuser diversity, and always benefits from the increasing transmit power.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.3 pp.955-958
- Publication Date
- 2008/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.3.955
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yupeng LIU, Ling QIU, "Impact of Channel Estimation Error on the Sum-Rate in MIMO Broadcast Channels with User Selection" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 3, pp. 955-958, March 2008, doi: 10.1093/ietcom/e91-b.3.955.
Abstract: We investigate the MIMO broadcast channels with imperfect channel knowledge due to estimation error and much more users than transmit antennas to exploit multiuser diversity. The channel estimation error causes the interference among users, resulting in the sum-rate loss. A tight upper bound of this sum-rate loss based on zeroforcing beamforming is derived theoretically. This bound only depends on the channel estimation quality and transmit antenna number, but not on the user number. Based on this upper bound, we show this system maintains full multiuser diversity, and always benefits from the increasing transmit power.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.3.955/_p
Copy
@ARTICLE{e91-b_3_955,
author={Yupeng LIU, Ling QIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Impact of Channel Estimation Error on the Sum-Rate in MIMO Broadcast Channels with User Selection},
year={2008},
volume={E91-B},
number={3},
pages={955-958},
abstract={We investigate the MIMO broadcast channels with imperfect channel knowledge due to estimation error and much more users than transmit antennas to exploit multiuser diversity. The channel estimation error causes the interference among users, resulting in the sum-rate loss. A tight upper bound of this sum-rate loss based on zeroforcing beamforming is derived theoretically. This bound only depends on the channel estimation quality and transmit antenna number, but not on the user number. Based on this upper bound, we show this system maintains full multiuser diversity, and always benefits from the increasing transmit power.},
keywords={},
doi={10.1093/ietcom/e91-b.3.955},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Impact of Channel Estimation Error on the Sum-Rate in MIMO Broadcast Channels with User Selection
T2 - IEICE TRANSACTIONS on Communications
SP - 955
EP - 958
AU - Yupeng LIU
AU - Ling QIU
PY - 2008
DO - 10.1093/ietcom/e91-b.3.955
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2008
AB - We investigate the MIMO broadcast channels with imperfect channel knowledge due to estimation error and much more users than transmit antennas to exploit multiuser diversity. The channel estimation error causes the interference among users, resulting in the sum-rate loss. A tight upper bound of this sum-rate loss based on zeroforcing beamforming is derived theoretically. This bound only depends on the channel estimation quality and transmit antenna number, but not on the user number. Based on this upper bound, we show this system maintains full multiuser diversity, and always benefits from the increasing transmit power.
ER -
English
