DocumentCode
3526326
Title
Multiuser MIMO capacity with limited feedback trellis exploration based precoder
Author
Bose, Sayak ; Zhu, Dalin ; Natarajan, Balasubramaniam
Author_Institution
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fYear
2012
fDate
Jan. 30 2012-Feb. 2 2012
Firstpage
1087
Lastpage
1091
Abstract
In this paper, a linear trellis based precoder technique is proposed for maximizing multiuser MIMO capacity. We consider MIMO multiple access channel with inter symbol interference (ISI). We use the trellis exploration algorithm to form a precoding matrix that minimizes the interference from other users by allocating power in the appropriate eigen modes for each user. Employing a finite number of phases, the precoder matrix for each user is first custom designed at the receiver. Then a bit sequence indicating the phase indices of the optimized precoding matrix for the corresponding user is fed back to the transmitter. We show that under limited feedback, the sum rate capacity achieved is comparable to the optimal sum-rate capacity employing the well-known water filling solution with complete channel knowledge at the transmitter for spatio-temporal vector coding (STVC). Our simulations for various multiuser MIMO cases, show that the per user precoding strategy achieves desirable performance gain with limited feedback and equal user power allocation in terms of ergodic capacity.
Keywords
MIMO communication; channel capacity; eigenvalues and eigenfunctions; feedback; intersymbol interference; linear codes; multi-access systems; precoding; radio receivers; radio transmitters; radiofrequency interference; trellis codes; wireless channels; ISI minimization; MIMO multiple access channel; STVC; bit sequence indication; eigenmode; equal user power allocation; ergodic capacity; intersymbol interference minimization; limited feedback trellis exploration based precoder technique; multiuser MIMO capacity maximization; optimal sum-rate capacity; optimized precoding matrix; phase finite number index; radio receiver; radio transmitter; spatiotemporal vector coding; water filling solution; Algorithm design and analysis; Covariance matrix; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2012 International Conference on
Conference_Location
Maui, HI
Print_ISBN
978-1-4673-0008-7
Electronic_ISBN
978-1-4673-0723-9
Type
conf
DOI
10.1109/ICCNC.2012.6167375
Filename
6167375
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