Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Radio Resource Allocation Over Fading Channels Under Statistical Delay ConstraintsPower Allocation with Energy Harvesting Over Fading Channel Under Statistical Delay Constraints

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints: Power... [Next-generation wireless systems are expected to support an ever increasing number of wireless connections with better quality-of-service (QoS), e.g., higher data rate and smaller delay [1, 2]. As a result, energy consumption, as well as energy cost, and greenhouse gas emission are increased, which pose challenges in the design of wireless systems. One promising method to tackle this issue is energy harvesting (EH), where wireless nodes have the capability to harvest energy from the renewable sources (e.g., solar, and thermoelectric, etc.) of the surrounding environment, and store the harvested energy in batteries to carry out their functions. In this chapter, we explore power allocation problems for such EH systems to support delay-sensitive communications.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Radio Resource Allocation Over Fading Channels Under Statistical Delay ConstraintsPower Allocation with Energy Harvesting Over Fading Channel Under Statistical Delay Constraints

Loading next page...
 
/lp/springer-journals/radio-resource-allocation-over-fading-channels-under-statistical-delay-o01sF4U38L
Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2017
ISBN
978-3-319-57692-3
Pages
43 –65
DOI
10.1007/978-3-319-57693-0_4
Publisher site
See Chapter on Publisher Site

Abstract

[Next-generation wireless systems are expected to support an ever increasing number of wireless connections with better quality-of-service (QoS), e.g., higher data rate and smaller delay [1, 2]. As a result, energy consumption, as well as energy cost, and greenhouse gas emission are increased, which pose challenges in the design of wireless systems. One promising method to tackle this issue is energy harvesting (EH), where wireless nodes have the capability to harvest energy from the renewable sources (e.g., solar, and thermoelectric, etc.) of the surrounding environment, and store the harvested energy in batteries to carry out their functions. In this chapter, we explore power allocation problems for such EH systems to support delay-sensitive communications.]

Published: May 12, 2017

There are no references for this article.