Title :
Energy-Efficient Power Allocation for Uplink SC-FDMA
Author :
Zhengguang Zheng ; Qiuyue Ji ; Lilin Dan ; Shaoqian Li
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Energy-efficiency (EE) of wireless communication is becoming one of the key performance evaluation criteria for battery-driven system. In this paper, an optimization problem to maximize the instantaneous bits-per-Joule metric with given spectral-efficiency (SE) requirement and maximum power constraint is formulated for uplink SC-FDMA system over frequency-selective channels. Based on this optimization model, a novel low-complexity energy-efficient optimal power allocation (PA) algorithm for each user is proposed to achieve maximum EE. Numerical results demonstrate that the proposed scheme has a better tradeoff between SE and EE than conventional power allocation schemes.
Keywords :
channel allocation; energy conservation; frequency division multiple access; frequency selective surfaces; optimisation; spectral analysis; EE; SC-FDMA; SE; battery driven system; bits-per-Joule metric; energy efficient power allocation; frequency selective channel; optimization; spectral efficiency; wireless communication; Frequency division multiaccess; OFDM; Optimization; Resource management; Throughput; Uplink; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-684-2
DOI :
10.1109/WiCOM.2012.6478514
