Title :
Transmission power variance constrained power allocation for iterative frequency domain multiuser SIMO detector
Author :
Tervo, Valtteri ; Tolli, Antti ; Karjalainen, Juha ; Matsumoto, Tad
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
Abstract :
Transmission power variance constrained power allocation in single carrier multiuser (MU) single-input multiple-output (SIMO) systems with iterative frequency domain (FD) soft cancelation (SC) minimum mean squared error (MMSE) equalization is considered in this paper. It is known in the literature that peak to average power ratio (PAPR) at the transmitter can be decreased by reducing the variance of the transmit power. In this paper, we derive a power variance constraint to statistically control the PAPR. This constraint is plugged into a convergence constrained power allocation (CCPA) problem and successive convex approximation (SCA) approach via series of geometric programs (GP) is developed. Numerical results are presented in the form of complementary cumulative distribution functions (CCDFs) to demonstrate the effectiveness of the proposed method.
Keywords :
MIMO communication; convex programming; equalisers; frequency-domain analysis; geometric programming; iterative methods; mean square error methods; radio transmitters; CCDF; CCPA problem; FD soft cancellation minimum mean squared error equalization; GP; MU single-input multiple-output detector system; PAPR; SC MMSE equalization; SCA approach; complementary cumulative distribution functions; convergence constrained power allocation problem; geometric program; iterative frequency domain multiuser SIMO detector; peak to average power ratio; radio transmitter; successive convex approximation approach; transmission power variance constrained power allocation; Approximation algorithms; Approximation methods; Convergence; Noise measurement; Peak to average power ratio; Receivers; Resource management; EXIT chart; Single carrier; convergence constraint; convex optimization; geometric program;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854250