Title :
When accumulative information is beneficial for maximizing energy efficiency?
Author :
Chuting Yao ; Zhikun Xu ; Tingting Liu ; Chenyang Yang
Author_Institution :
Beihang Univ., Beijing, China
Abstract :
Energy efficiency (EE) has become an important design goal for wireless systems. Since the EE of a system is evaluated in a duration where the channel may vary, designing a transmission strategy to maximize instantaneous EE may lead to a loss in achievable EE of the system. To exploit the accumulative information of throughput and energy, accumulative EE (ACEE) can be used as the objective function, which is the ratio of the accumulated throughput divided by the overall energy consumed over the past time slots. By analyzing the solutions of three EE maximal problems to optimize rate allocation among multiple subcarriers in multiple time slots, we show when and why the ACEE can achieve high system EE. Simulation results verify our theoretical analysis. Our analysis show that the ACEE is beneficial for the systems with low circuit power consumption under time-varying channels when either the data rate requirement or signal to noise ratio is low, and either the number of antennas or subcarriers is small.
Keywords :
MIMO communication; OFDM modulation; energy conservation; telecommunication power management; time-varying channels; ACEE; EE maximal problems; MIMO-OFDM system; accumulative information; antennas; data rate; energy efficiency maximization; energy efficient downlink transmission strategy design; instantaneous EE maximization; low circuit power consumption; objective function; past time slots; rate allocation; signal to noise ratio; time-varying channels; wireless systems; Integrated circuit modeling; Linear programming; Measurement; Optimization; Resource management; Signal to noise ratio; Wireless communication;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6884203