Foundations and Trends® in Communications and Information Theory > Vol 22 > Issue 2-3

Power Control for Battery-Limited Energy Harvesting Communications

By Shengtian Yang, Zhejiang Gongshang University, China, yangst@codlab.net | Jun Chen, McMaster University, Canada, chenjun@mcmaster.ca

 
Suggested Citation
Shengtian Yang and Jun Chen (2025), "Power Control for Battery-Limited Energy Harvesting Communications", Foundations and TrendsĀ® in Communications and Information Theory: Vol. 22: No. 2-3, pp 185-393. http://dx.doi.org/10.1561/0100000133

Publication Date: 17 Feb 2025
© 2025 S. Yang and J. Chen
 
Subjects
Wireless communications,  Information theory and statistics,  Markov decision processes,  Stochastic control,  Optimal control
 

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In this article:
Notation
1. Introduction
2. Offline Power Control
3. Online Power Control
4. Power Control with Lookahead
5. Conclusion
Acknowledgements
Appendices
References

Abstract

Power control is often used to ensure efficient resource utilization in communication systems. Its role becomes even more critical in the emerging paradigm of energy harvesting communications due to the intermittency and randomness of ambient energy sources. This monograph provides a review of the fundamental power control policies and their performance analysis in the basic setting of a discrete-time battery-limited energy harvesting communication system with independent and identically distributed energy arrivals. Three different settings, namely, offline power control, online power control, and power control with lookahead, are considered, corresponding respectively to the cases with non-causal, causal, and partial non-causal knowledge of the energy arrival process. A complete characterization of the optimal offline power control policy is presented. In the online setting, the focus is placed on the greedy policy, which is optimal in the low-battery-capacity regime, and universally near-optimal policies, which include the maximin optimal policy, the fixed fraction policy, the two-piece fixed fraction policy, and the locally fixed fraction policy. Finally, power control with lookahead is introduced to bridge offline and online power control, the entire spectrum of optimal policies is characterized for Bernoulli energy arrivals, and the extension beyond the Bernoulli case is also discussed.

DOI:10.1561/0100000133
ISBN: 978-1-63828-520-5
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ISBN: 978-1-63828-521-2
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Table of contents:
Notation
1. Introduction
2. Offline Power Control
3. Online Power Control
4. Power Control with Lookahead
5. Conclusion
Acknowledgements
Appendices
References

Power Control for Battery-Limited Energy Harvesting Communications

This monograph provides a review of the fundamental power control policies and their performance analysis in the basic setting of a discrete-time battery-limited energy harvesting communication system with independent and identically distributed energy arrivals. Power control is often used to ensure efficient resource utilization in communication systems. Its role becomes even more critical in the emerging paradigm of energy harvesting communications due to the intermittency and randomness of ambient energy sources.

Three different settings, namely, offline power control, online power control, and power control with look-ahead, are considered, corresponding respectively to the cases with non-causal, causal, and partial non-causal knowledge of the energy arrival process. A complete characterization of the optimal offline power control policy is presented. In the online setting, the focus is placed on the greedy policy, which is optimal in the low-battery-capacity regime, and universally near-optimal policies, which include the maximin optimal policy, the fixed fraction policy, the two-piece fixed faction policy, and the locally fixed fraction policy. Finally, power control with look-ahead is introduced to bridge offline and online power control, the entire spectrum of optimal policies is characterized for Bernoulli energy arrivals, and the extension beyond the Bernoulli case is also discussed.

 
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