Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICC.2014.6884203 | ICC |
Keywords | Field | DocType |
acee,objective function,ofdm modulation,energy efficient downlink transmission strategy design,energy efficiency maximization,wireless systems,energy conservation,telecommunication power management,low circuit power consumption,signal to noise ratio,time-varying channels,mimo communication,rate allocation,antennas,accumulative information,data rate,ee maximal problems,past time slots,mimo-ofdm system,instantaneous ee maximization,linear programming,measurement,resource management,wireless communication,optimization | Wireless systems,Computer science,Efficient energy use,Signal-to-noise ratio,Communication channel,Real-time computing,Data rate,Throughput,Power consumption | Conference |
ISSN | Citations | PageRank |
1550-3607 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuting Yao | 1 | 1 | 2.42 |
| Zhikun Xu | 2 | 6 | 1.14 |
| Tingting Liu | 3 | 121 | 11.62 |
| Chenyang Yang | 4 | 2111 | 141.51 |