Feng Han (University of Maryland), “Energy efficiency optimization in green wireless communications” (2013)

You are here

Inside Signal Processing Newsletter Home Page

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

News and Resources for Members of the IEEE Signal Processing Society

Feng Han (University of Maryland), “Energy efficiency optimization in green wireless communications” (2013)

Feng Han (University of Maryland), “Energy efficiency optimization in green wireless communications”, Advisor: K. J. Ray Liu (2013)

The rising energy concern and the ubiquity of energy-consuming wireless applications have sparked a keen interest in the development and deployment of energy-efficient and eco-friendly wireless communication technology. Looking back at the wireless communications of the past decades, the air-interface design and network deployment had mainly focused on the spectral efficiency, instead of energy efficiency. From the cellular network to the personal area network, no matter what size the wireless network is, the milestones along the evolutions of wireless networks had always been higher-and-higher data rates throughout these years. Most of these throughput-oriented optimizations lead to a full-power operation to support a higher throughput or spectral efficiency, which is typically not energy-efficient.

In this dissertation research, towards the evolution of the green wireless communications, the author has extended the efforts in two important aspects of the wireless communications system: air-interface and networking. In the first aspect of this work, the author studies a promising green communications technology, the time reversal system, as a novel air-interface of the future green wireless communications. In the second aspect of this work, the author explores the energy-saving potential of the cooperative networking for cellular systems. The author proposes a dynamic base-station switching strategy and incorporates the cooperative base-station operation to improve the energy-efficiency of the cellular networks without sacrificing the quality of service of the users.

For details, please visit the thesis page.


IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel