Training optimization for energy harvesting communication systems

Yaming Luo, Jun Zhang, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Energy harvesting (EH) has recently emerged as an effective way to solve the lifetime challenge of wireless sensor networks, as it can continuously harvest energy from the environment. Unfortunately, it is challenging to guarantee a satisfactory short-term performance in EH communication systems because the harvested energy is sporadic. In this paper, we consider the channel training optimization problem in EH communication systems, i.e., how to obtain accurate channel state information to improve the communication performance. In contrast to conventional communication systems, the optimization of the training power and training period in EH communication systems is a coupled problem, which makes such optimization very challenging. We shall formulate the optimal training design problem for EH communication systems, and propose two solutions that adaptively adjust the training period and power based on either the instantaneous energy profile or the average energy harvesting rate. Numerical and simulation results will show that training optimization is important in EH communication systems. In particular, it will be shown that for short block lengths, training optimization is critical. In contrast, for long block lengths, the optimal training period is not too sensitive to the value of the block length nor to the energy profile. Therefore, a properly selected fixed training period value can be used.

Original languageEnglish
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages3365-3370
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: 3 Dec 20127 Dec 2012

Other

Other2012 IEEE Global Communications Conference, GLOBECOM 2012
CountryUnited States
CityAnaheim, CA
Period3/12/127/12/12

Fingerprint

Energy harvesting
Communication systems
Channel state information
Wireless sensor networks
Communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Luo, Y., Zhang, J., & Letaief, K. (2012). Training optimization for energy harvesting communication systems. In 2012 IEEE Global Communications Conference, GLOBECOM 2012 (pp. 3365-3370). [6503634] https://doi.org/10.1109/GLOCOM.2012.6503634

Training optimization for energy harvesting communication systems. / Luo, Yaming; Zhang, Jun; Letaief, Khaled.

2012 IEEE Global Communications Conference, GLOBECOM 2012. 2012. p. 3365-3370 6503634.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Luo, Y, Zhang, J & Letaief, K 2012, Training optimization for energy harvesting communication systems. in 2012 IEEE Global Communications Conference, GLOBECOM 2012., 6503634, pp. 3365-3370, 2012 IEEE Global Communications Conference, GLOBECOM 2012, Anaheim, CA, United States, 3/12/12. https://doi.org/10.1109/GLOCOM.2012.6503634
Luo Y, Zhang J, Letaief K. Training optimization for energy harvesting communication systems. In 2012 IEEE Global Communications Conference, GLOBECOM 2012. 2012. p. 3365-3370. 6503634 https://doi.org/10.1109/GLOCOM.2012.6503634
Luo, Yaming ; Zhang, Jun ; Letaief, Khaled. / Training optimization for energy harvesting communication systems. 2012 IEEE Global Communications Conference, GLOBECOM 2012. 2012. pp. 3365-3370
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