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
fDate :
Jan. 30 2012-Feb. 2 2012
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;
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
DOI :
10.1109/ICCNC.2012.6167375