DocumentCode
2292133
Title
Jointly Optimized Multiuser Beamforming for the MIMO Broadcast Channel with Limited Feedback
Author
Mazzarese, D. ; Chan-Byoung Chae ; Heath, Robert W., Jr.
Author_Institution
Samsung Electron., Suwon
fYear
2007
fDate
3-7 Sept. 2007
Firstpage
1
Lastpage
5
Abstract
This paper considers the joint optimization of the transmitter beamforming filters and receiver combining filters for the multiple-input multiple-output (MIMO) broadcast channel. A low-complexity iterative algorithm to compute the filters is proposed and then a closed-form expression of the filters for the downlink with two transmit antennas is derived, avoiding the need for iterative computation in this case. To enable practical implementation, a new limited feedback algorithm is proposed that exploits the channel structure in the closed form solution, and is independent of the number of receive antennas. Performance is evaluated by Monte Carlo simulations as a function of the amount of feedback. With two receive antennas, the proposed method performs close to the sum capacity of the MIMO broadcast channel, without the need for multiuser diversity and with only limited feedback.
Keywords
MIMO communication; Monte Carlo methods; antenna arrays; array signal processing; multiuser channels; MIMO broadcast channel; Monte Carlo simulations; joint optimization; jointly optimized multiuser beamforming; limited feedback; low-complexity iterative algorithm; multiple-input multiple-output broadcast channel; receive antennas; receiver combining filters; transmit antennas; transmitter beamforming filters; Array signal processing; Broadcasting; Closed-form solution; Downlink; Feedback; Filters; Iterative algorithms; MIMO; Receiving antennas; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location
Athens
Print_ISBN
978-1-4244-1144-3
Electronic_ISBN
978-1-4244-1144-3
Type
conf
DOI
10.1109/PIMRC.2007.4394188
Filename
4394188
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