Title :
Optimal cooperative water-filling power allocation for OFDM system
Author :
Hui Wang ; Qimei Cui ; Xiaofeng Tao ; Valkama, Mikko ; Guo, Y. Jay
Author_Institution :
Minist. of Educ. Wireless Technol. Innovation Inst., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
It is well known that traditional water-filling provides a closed form solution for capacity maximization in orthogonal frequency division multiplex (OFDM) system. In this paper, cooperative power allocation is investigated in a two-transmitter multi-receiver model for OFDM systems. The local full channel state information (CSI) is available at the two transmitters respectively, where each transmitter has an individual power constrain. The transmitters first cooperate by sharing CSI, and then jointly optimize power allocation in the metric of sum throughput, which can be modeled as a convex optimization problem. Through an application of Karush-KuhnTucker (KKT) conditions, the convex optimization problem is reformulated as a simplified convex one. Then the closed form solution is derived, which takes a form similar to classic waterfilling principle. Based on the solution, the optimal cooperative power allocation algorithm is constructed, the structure of which can be explained as a cooperative water-filling relative to the traditional water-filling. Finally, numerical simulation is given to evaluate and demonstrate the performance of the optimal cooperative water-filling scheme.
Keywords :
OFDM modulation; convex programming; cooperative communication; CSI; KKT conditions; Karush-KuhnTucker conditions; OFDM system; convex optimization problem; local full channel state information; numerical simulation; optimal cooperative water-filling power allocation; orthogonal frequency division multiplex system; two-transmitter multi-receiver model; Equations; OFDM; Optimization; Receivers; Resource management; Throughput; Transmitters;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6555170