Power optimization and management in embedded systems
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Battery-Driven System Design: A New Frontier in Low Power Design
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Cross-layer optimization for energy-efficient wireless communications: a survey
Wireless Communications & Mobile Computing - Next Generation Wireless Communications and Mobile Computing-Networking Technologies
Energy-efficient link adaptation in frequency-selective channels
IEEE Transactions on Communications
Interference-aware energy-efficient power optimization
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework
IEEE Transactions on Wireless Communications
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
Interference-aware energy-efficient power optimization
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Energy efficient communications for future broadband cellular networks
Computer Communications
| Hi-index | 0.00 |
Energy efficient communications in wireless communications is very important as mobile devices are battery-constrained. For mobile devices in a cellular system, uplink power consumption dominates the wireless power budget, due to the RF power requirements for reliable communications over long distances. Our previous work in this area demonstrated significant energy savings in uplink cellular OFDMA transmissions, with iterative approaches maximizing the instantaneous bits-per-Joule energy efficiency. In this paper, we use a time-averaged bits-per-Joule metric to develop low-complexity schemes. Specifically, we obtain closed-form solutions for energy-efficient link adaptation in frequency-selective channels. We also derive closed-form approaches for the maximum arithmetic and geometric mean energy-efficient schedulers. Simulation results show that the proposed schemes not only have low complexity but also perform close to the globally optimum solutions.