Title :
Joint power allocation and subcarrier pairing for cooperative OFDM transmission
Author :
Dai, Cui-Qin ; Zhao, Xiao-Yu ; Zhang, Zu-Fan
Author_Institution :
Chongqing Key Lab. of Mobile, Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
This paper considers the joint power allocation and subcarrier pairing problem in decode-and-forward (DF) relaying orthogonal-frequency-division multiplexing (OFDM) system, and proposes a strategy, called MW-RA, to maximize the weighted sum rate with total power constraint. MW-RA is formulated as a mixed integer programming problem and then transformed to a convex optimization problem by continuous relaxation, and solved in the Lagrangian dual domain. Simulation results show that MW-RA can maximize the weighted sum rate under total power constraint and outperform equal power allocation (EPA).
Keywords :
OFDM modulation; convex programming; cooperative communication; decode and forward communication; integer programming; Lagrangian dual domain; MW-RA; continuous relaxation; convex optimization problem; cooperative OFDM transmission; decode-and-forward relaying system; equal power allocation; mixed integer programming problem; orthogonal-frequency-division multiplexing system; subcarrier pairing; total power constraint; weighted sum rate; OFDM; Optimization; Relays; Resource management; Simulation; Strontium; Wireless communication; DF relay; MW-RA; OFDM; power allocation; subcarrier pairing;
Conference_Titel :
Computational Problem-Solving (ICCP), 2011 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4577-0602-8
Electronic_ISBN :
978-1-4577-0601-1
DOI :
10.1109/ICCPS.2011.6089789