Title :
Power control with suboptimal algorithm for wireless communication systems
Author :
Jing Gao ; Jinkuan Wang ; Bin Wang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
One of the key technologies of orthogonal frequency division multiplexing (OFDM) systems is its large peak to average power ratio (PAPR) of the channel signals. Partial transmit sequences (PTS) is a kind of promising method that improves PAPR performance effectively with not distortion processing, the complexity of PTS algorithm increases quickly with the divided number of signal blocks. Therefore, a novel sub-optimal algorithm is proposed to reduce computational complexity in this paper, which use the bacterial foraging optimization to realize the search process of optimal phase factors. Simulation results demonstrate that the proposed method can obtain better balance between PAPR performance and computational complexity.
Keywords :
OFDM modulation; computational complexity; optimisation; power control; radiocommunication; wireless channels; OFDM system; PAPR performance; PTS algorithm; bacterial foraging optimization; channel signal; computational complexity reduction; distortion processing; optimal phase factor; orthogonal frequency division multiplexing; partial transmit sequence; peak to average power ratio; power control; search process; signal block; suboptimal algorithm; wireless communication system; Computational complexity; Educational institutions; Microorganisms; Partial transmit sequences; Peak to average power ratio; OFDM; Optimization; PAPR; PTS;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920543