DocumentCode
2781895
Title
A MU-MIMO CQI Estimation Method for MU-MIMO UEs in LTE Systems
Author
Nguyen, Hung Tuan ; Kovacs, Istvan Z.
Author_Institution
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
fYear
2012
fDate
3-6 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
This paper addresses a method to estimate the multi user channel quality indicator (CQI) from the reported rank 1 single user CQI in LTE systems. We investigate the relationship between the multi user CQI and the channel condition. Based on that, we propose an updating mechanism where the estimated multi user CQI is varied according to the reported channel condition i.e. the rank 1 single user CQI. System performance of the proposed scheme is compared with the conventional fixed offset single user CQI estimation. System level simulation results show the efficiency of our proposed scheme with respect to both the enhancement in the system level performance and uplink overhead reduction. Using the statistic metrics derived from the system level simulation, we highlight the importance of having an accurate multi-user CQI estimation. The results illustrate how the multi user CQI information influence the packet scheduling and link adaptation decisions and ultimately the overall system performance.
Keywords
Long Term Evolution; MIMO communication; decision making; estimation theory; multi-access systems; radio links; scheduling; wireless channels; LTE systems; MU-MIMO CQI estimation method; MU-MIMO UE; fixed offset single user CQI estimation; link adaptation decisions; multiuser CQI estimation; multiuser CQI information influence; multiuser channel quality indicator estimation; packet scheduling; rank 1 single user CQI; reported channel condition; single user CQI; statistic metrics; updating mechanism; uplink overhead reduction; Estimation; Interference; MIMO; Multiplexing; Receivers; Scheduling algorithms; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location
Quebec City, QC
ISSN
1090-3038
Print_ISBN
978-1-4673-1880-8
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VTCFall.2012.6398993
Filename
6398993
Link To Document