Title :
Low-Complexity Energy-Efficient Resource Allocation for Uplink OFDMA Systems
Author :
Zhengguang Zheng ; Lilin Dan ; Yue Xiao ; Gang Wu ; Su Hu
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Energy efficiency is becoming more and more important for mobile devices in future green radio network. This paper addresses the tradeoff between energy-efficiency (EE) and spectral efficiency (SE) in uplink multiuser orthogonal frequency division multiple access (OFDMA) systems. In this paper, EE is measured by the sum of instantaneous bits-per-Joule of each user, and it is optimized with the restrictions on both the minimum rate requirements and available transmit power over frequencyselective channels. Based on this optimization model, a novel low-complexity energy-efficient resource allocation algorithm is proposed. Simulation results demonstrate that the proposed scheme provides a better tradeoff between SE and EE than the conventional schemes with reduced complexity.
Keywords :
frequency division multiple access; mobile radio; optimisation; resource allocation; bits-per-Joule; frequency selective channels; green radio network; low-complexity energy-efficient resource allocation; minimum rate requirements; mobile devices; optimization model; orthogonal frequency division multiple access OFDMA; spectral efficiency; uplink OFDMA systems; uplink multiuser; Complexity theory; Green products; OFDM; Optimization; Resource management; Throughput; Uplink;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692273