Skip to main content
SpringerLink
Log in
Book cover

International Conference on Communications and Networking in China

ChinaCom 2016: Communications and Networking pp 23–32Cite as

Dynamic Power Control for Throughput Maximization in Hybrid Energy Harvesting Node

  • Conference paper
  • First Online:

  • 1128 Accesses

Abstract

In this paper, we consider a wireless communication node with hybrid energy harvesting (EH) sources which results in great difficulty in obtaining the statistical knowledge of joint EH process. In addition, the wireless channel fluctuates randomly due to fading. Our goal is, under this condition, to develop a dynamic power control policy for the transmitter such that the time average throughput of the system is maximized over an infinite horizon, taking into account the circuit energy consumption and inefficiency of the rechargeable battery. Such a dynamic power control problem is formulated as a stochastic network optimization problem. The problem is solved by utilizing Lyapunov optimization and an efficient on-line algorithm with quite low complexity is obtained. Simulation results illustrate that the proposed algorithm has the same performance as the optimal one with giving statistical knowledge of the stochastic processes.

This is a preview of subscription content, log in via an institution.

References

  1. Ozel, O., Tutuncuoglu, K., Ulukus, S., Yener, A.: Fundamental limits of energy harvesting communications. IEEE Commun. Mag. 53(4), 126–132 (2015)

    Article  Google Scholar 

  2. Xu, J., Zhang, R.: Troughput optimal policies for energy harvesting wireless transmitters with non-ideal circuit power. IEEE J. Sel. Area. Commun. 32, 322–332 (2014)

    Article  Google Scholar 

  3. Hassanul, N., Yuen, C., Saeed, S., Zhang, Z.: Power control for sum rate maximization on interference channels under sum power constraint. IEEE Trans. Veh. Tech. 64(2), 593–609 (2015)

    Article  Google Scholar 

  4. Erkal, H., Ozcelik, F.M., Uysal-Biyikoglu, E.: Optimal offline broadcast scheduling with an energy harvesting transmitter. EURASIP J. Wirel. Commun. Netw. 11, 1163–1175 (2013)

    Google Scholar 

  5. Huang, C., Zhang, R., Cui, S.: Optimal power allocation for outage probability minimization in fading chanenels with energy harvesting constraints. IEEE Trans. Wirel. Commun. 13, 1075–1087 (2014)

    Google Scholar 

  6. Ozel, O., Tutuncuoglu, K., Yang, J., Ulukus, S., Yener, A.: Transmission with energy harvesting nodes in fading wireless channels: optimal policies. IEEE J. Sel. Areas Commun. 29(8), 1732–1743 (2011)

    Article  Google Scholar 

  7. Tutuncuoglu, K., Yener, A.: Optimum transmission policies for battery limited energy harvesting nodes. IEEE Trans. Wirel. Commun. 11(3), 1180–1189 (2012)

    Article  Google Scholar 

  8. Huang, C., Zhang, R., Cui, S.: Throughput maximization for the Gaussian relay channel with energy harvesting constraints. IEEE J. Sel. Areas Commun. 31, 1469–1479 (2013)

    Article  Google Scholar 

  9. Chen, H., Zhao, F., Yu, R., Li, X.: Power allocation and transmitter switching for broadcasting with multiple energy harvesting transmitters. EURASIP J. Wirel. Commun. Netw. 1, 1–11 (2014)

    Google Scholar 

  10. Neely, M.J.: Stochastic Network Optimization with Application to Communication and Queueing Systems. Morgan & Claypool Publishers, San Rafael (2010)

    Book  MATH  Google Scholar 

  11. Neely, M.J., Tehrani, A.S., Dimakis, A.G.: Efficient algorithms for renewable energy allocation to delay tolerant consumers. In: IEEE International Conference on Smart Grid Communications, pp. 549–554 (2010)

    Google Scholar 

  12. Sharma, V., Mukherji, U., Joseph, V., Gupta, S.: Optimal energy management policies for energy harvesting sensor nodes. IEEE Trans. Wirel. Commun. 9, 1326–1335 (2010)

    Article  Google Scholar 

Download references

Acknowledgment

The research was supported by the National Natural Science Foundation of China (Grant No. 61261017,), Guangxi Natural Science Foundation (2014GXNSFAA118387), Foundation of Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (CRKL150206) and Guangxi Key Lab of Multi-source Information Mining & Security (MIMS14-06).

Author information

Authors and Affiliations

  1. School of Telecommunication Engineering, Xidian University, Xi’an, 710071, China

    Didi Liu

  2. Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, 541004, China

    Didi Liu

  3. Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, 541004, China

    Jiming Lin, Junyi Wang, Hongbing Qiu & Yibin Chen

Authors
  1. Didi Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiming Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junyi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hongbing Qiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yibin Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Didi Liu .

Editor information

Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Liu, D., Lin, J., Wang, J., Qiu, H., Chen, Y. (2018). Dynamic Power Control for Throughput Maximization in Hybrid Energy Harvesting Node. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66628-0_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation