DocumentCode :
3237305
Title :
Joint MMSE precoder and decoder design for downlink multiuser MIMO systems with arbitrary transmit power constraints
Author :
Lu, I-Tai
Author_Institution :
Dept. of ECE, Polytech. Inst. of NYU, Brooklyn, NY
fYear :
2009
fDate :
March 30 2009-April 1 2009
Firstpage :
1
Lastpage :
5
Abstract :
A novel unified approach to deal with arbitrary transmitted power constraints for designing jointly the MMSE precoders and decoders in downlink multiuser MIMO systems is developed. This work is an extension of the iterative approach developed in (Jinfan Zhang et al., 2005) for the total power constraint. An explicit expression relating Lagrange multipliers with the per-user constraint can be obtained using the proposed approach to mitigate the time consuming root searching for the Lagrange multipliers in (Jinfan Zhang et al., 2005). Moreover, the explicit expression allows the MMSE solution subject to arbitrary transmit power constraints. In this paper, total, per-user, per-antenna, and peak power constraints are formulated in under the same format and solved using the proposed approach. It is shown in some two-user numerical examples that the raw BER performance obtained from the practical per-antenna power constraint is similar to those of the per-user and total power constraints and is 1-1.5 dB better than that of the peak power constraint.
Keywords :
MIMO communication; decoding; error statistics; least mean squares methods; precoding; BER performance; Lagrange multipliers; arbitrary transmit power constraints; downlink multiuser MIMO systems; joint MMSE precoder-decoder design; per-antenna power constraint; per-user power constraints; root searching; total power constraints; Bit error rate; Downlink; Information rates; Interference; Iterative decoding; Iterative methods; Lagrangian functions; MIMO; Receiving antennas; Signal to noise ratio; Downlink multiuser MIMO; Joint MMSE precoder and decoder; per-antenna power constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-3381-0
Electronic_ISBN :
978-1-4244-3382-7
Type :
conf
DOI :
10.1109/SARNOF.2009.4850334
Filename :
4850334
Link To Document :
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