Exploiting Correlations of Energy and Information: A New Paradigm of Energy Harvesting Communications

doi:10.3969/j.issn.1673-5188.2018.01.004

ZTE Communications ›› 2018, Vol. 16 ›› Issue (1): 18-25.DOI: 10.3969/j.issn.1673-5188.2018.01.004

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Exploiting Correlations of Energy and Information: A New Paradigm of Energy Harvesting Communications

GONG Jie¹, ZHOU Sheng²

1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China
2. Department of Electronic Engineering, Tsinghua University, Beijing 100086, China

Received:2017-11-21 Online:2018-02-25 Published:2020-03-16
About author:GONG Jie (gongj26@mail.sysu.edu.cn) received his B.S. and Ph.D. degrees in Department of Electronic Engineering in Tsinghua University, China in 2008 and 2013, respectively. From July 2012 to January 2013, he visited Institute of Digital Communications, University of Edinburgh, UK. From July 2013 to October 2015, he worked as a postdoctorial scholar in Department of Electronic Engineering in Tsing-hua University. He is currently an associate research fellow with School of Data and Computer Science, Sun Yat-sen University, China. He was a co-recipient of the Best Paper Award from IEEE Communications Society Asia-Pacific Board in 2013. He was selected as the IEEE Wireless Communications Letters (WCL) Exemplary Re-viewer in 2016. His research interests include cloud RAN, energy harvesting tech-nology and green wireless communications. He published more than 50 scientificpapers.|ZHOU Sheng (sheng.zhou@tsinghua.edu.cn) received the B.E. and Ph.D. degrees in electronic engineering from Tsinghua University, China in 2005 and 2011, respectively. From January to June 2010, he was a visiting student at the Wireless System Lab, Department of Electrical Engineering, Stanford University, USA. From November 2014 to January 2015, he was a visiting researcher in Central Research Lab of Hitachi Ltd., Japan. He is currently an associate professor with the Department of Electronic Engineering, Tsinghua University. His research interests include crosslayer design for multiple antenna systems, mobile edge computing, and green wireless communications. He has published more than 150 scientific papers.
Supported by:
This paper is supported by the National Natural Science Foundation of China under grant(Nos. 61771495);This paper is supported by the National Natural Science Foundation of China under grant(Nos. 61571265)

Abstract

Abstract:

For deployment flexibility and device lifetime prolonging, energy harvesting communications have drawn much attention recently, which however, encounter energy domain randomness in addition to the channel state randomness and traffic load randomness. The three-dimensional randomness makes the resource allocation problem extremely difficult. To resolve this, we exploit the inherent correlations of energy arrival and information. The correlations include self correlations of energy profiles and mutual correlations between energy and information in both time and spatial domains. The correlations are explicitly explained followed by a state-of-art survey. Candidate mechanisms exploiting the correlations for the ease of resource allocation are introduced along with some recent progress. Finally, a case study is presented to illustrate the performance of the proposed algorithm.

Key words: energy harvesting, wireless communications, spatial and temporal correlations, resource allocation

GONG Jie, ZHOU Sheng. Exploiting Correlations of Energy and Information: A New Paradigm of Energy Harvesting Communications[J]. ZTE Communications, 2018, 16(1): 18-25.

Figures/Tables 7

Figure 1. Cellular networks with energy harvesting.

Figure 2. Traffic profile and renewable power profile over time.

Figure 3. Two-stage power allocation algorithm for decoupling channel fading with energy variation.

Figure 4. Solving energy-information mismatch problem via proactive caching and push.

Figure 5. Joint transceiver optimization for balancing the data queue and the energy queue.

Figure 6. Energy-aware cell zooming for realizing traffic offloading.

Figure 7. Timeline of energy profile.

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Exploiting Correlations of Energy and Information: A New Paradigm of Energy Harvesting Communications

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