Title :
Energy-efficient utility-based resource allocation in OFDMA systems
Author :
Haina Ye ; Zhenhui Tan
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
Energy efficiency is becoming an increasingly important topic in green communications. In this paper, we study the energy-efficient utility-based resource allocation in an orthogonal frequency division multiple access (OFDMA) network with heterogeneous services. We propose energy-efficient utilities for various services describing the user satisfaction per energy consumption for transmission. An effective subcarrier and power allocation algorithm named energy-efficient utility-based algorithm (EEUBA) is proposed to maximize the energy-efficient utility of the system under quality-of-service (QoS) constraints of the QoS users. In the simulation, we compare the performance between the proposed algorithm with spectral efficient utility-based algorithms; and the results show that the proposed algorithm can bring improvements on energy-efficient utility as well as energy efficiency.
Keywords :
OFDM modulation; energy conservation; energy consumption; frequency division multiple access; quality of service; resource allocation; telecommunication power management; EEUBA; OFDMA systems; QoS; energy consumption; energy-efficient utility- based algorithm; energy-efficient utility-based resource allocation; green communications; heterogeneous services; orthogonal frequency division multiple access network; power allocation algorithm; quality-of-service constraints; Heuristic algorithms; Joints; OFDM; Optimization; Quality of service; Resource management; Wireless communication; Energy-efficient utility; Orthogonal frequency division multiple access (OFDMA); quality-of-service; resource allocation;
Conference_Titel :
Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 IEEE 25th Annual International Symposium on
DOI :
10.1109/PIMRC.2014.7136309
