Title :
Transmit Beamforming and Detection Design for Uplink Multiuser MIMO Systems
Author :
Xi, Songnan ; Zoltowski, Michael D.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
We consider the transceiver design for uplink multiuser multi-input multi-output (MIMO) communications, where multiple transmitters adopt beamforming to simultaneously access the linear spatial equalizer at the receivers. In this paper, we investigated the crucial, yet not well discussed issue to jointly design beamforming weights for all transmitters, subject to total transmission power constraints, under the assumption that all users´ channel state information (CSI) is available at each of the users. We proposed a class of orthogonal joint beamforming design schemes with matched filter receiver, and an eigen-beamforming (Eig-BF) scheme with ordered successive interference cancellation minimum mean square error receiver (OSIC-MMSE). By comparing these schemes with the optimal joint transceiver design with optimality in terms of overall mean square error (MSE), we show that Eig-BF OSIC-MMSE scheme achieves near-optimum performance at much lower complexity and with much simpler transmitter design, since it only requires each transmitter to know its own CSI and thus can be implemented in a decentralized way. This indicates that marginal performance improvement can be benefited from making all transmitters share their CSI. The orthogonal beamforming schemes, on the other hand, accomplish the simplest receiver structure at the cost of more complicated cooperative transmitters, and thus they may find applications in such systems as satellite communications or ad-hoc networks, where it is better to distribute computational loads among multiple transmitters than to impose it on a single receiver.
Keywords :
MIMO communication; array signal processing; interference suppression; least mean squares methods; matched filters; multiuser detection; radio receivers; radio transmitters; transceivers; detection design; eigen-beamforming; linear spatial equalizer; matched filter receiver; minimum mean square error; multi-input multi-output communications; multiple transmitters; optimal joint transceiver; satellite communications; square error; successive interference cancellation; transceiver design; transmit beamforming; uplink multiuser MIMO systems; Array signal processing; Channel state information; Equalizers; Interference cancellation; Interference constraints; MIMO; Matched filters; Mean square error methods; Transceivers; Transmitters;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355028