Saving Energy for Wireless Transmission: An Important Revelation from Shannon Formula

doi:10.12142/ZTECOM.202101002

ZTE Communications ›› 2021, Vol. 19 ›› Issue (1): 2-10.DOI: 10.12142/ZTECOM.202101002

• Special Topic • Previous Articles Next Articles

Saving Energy for Wireless Transmission: An Important Revelation from Shannon Formula

ZHU Jinkang^1,²(), ZHAO Ming^1,²

^1.Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, Hefei 230027, China
^2.School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

Received:2020-12-10 Online:2021-03-25 Published:2021-04-09
About author:ZHU Jinkang (jkzhu@ustc.edu.cn) received the B.E. degree from Sichuan University, China in 1966. He has been a professor of University of Science and Technology of China (USTC) since 1992 and committed to research on wireless mobile communications and networks. He was the leader of the Personal Communication Group of the Communication Subject Expert Group of the National High-Tech Development Program, China. His current research focus is the green wireless communications, wireless big data and wireless AI, emerging theory and technology of wireless communications.|ZHAO Ming received the B.E., M.E. and Ph.D. degrees in electronic engineering and information science from the University of Science and Technology of China (USTC) in 1999, 2002 and 2018, respectively. Now he is an associate professor with the Department of Electronic Engineering and Information Science, USTC. His research interests include non-orthogonal multiple access, heterogeneous networks and green communications.
Supported by:
National Natural Science Foundation of China (NSFC)(61631018)

Abstract

Abstract:

The reduction of power consumption is important for wireless communications and networks. To develop the energy-saving technologies for future wireless transmissions and networks, this paper presents two basic study points: 1) The multiple events are merged into a single event; 2) the high-order mode is changed to the low-order mode. For this reason, we seek that multiple events in wireless transmission links are fused into a single event from Shannon formulas. We also analyze the relationship between the information modulation and the error correction, and give a fusion structure of error-corrected modulation. The energy-saving performance of the error-corrected modulation method is further analyzed through comparison with the traditional methods of modulation plus error correction. The results of numerical analysis demonstrate the wireless energy saving methods for wireless systems based on Shannon formulas are the achievable efficient schemes.

Key words: wireless saving energy, extension of Shannon formula, error-corrected modulation, energy-saving performance

ZHU Jinkang, ZHAO Ming. Saving Energy for Wireless Transmission: An Important Revelation from Shannon Formula[J]. ZTE Communications, 2021, 19(1): 2-10.

Figures/Tables 8

Figure 1 Current wireless transmission link

Figure 2 Modulation block with one error correction

Figure 3 Error-corrected modulation constellation of (3, 1) coding

Figure 4 Power consumption of event A under different parameters

Figure 5 Energy-saving evaluation function of the traditional link

Figure 6 Power consumption of event A under different parameters

Figure 7 Energy-saving evaluation function of the proposed modulation mode

Figure 8 Error-corrected modulation constellation of (3,1) coding

References 18

1	YOU X H, WANG J, ZHANG P, et al. Study and ideas for green wireless mobile communications [J]. Journal of university of science and technology of China, 2009, 39(10): 1009–1015
2	NIU Z S, WU Y Q, GONG J, et al. Cell zooming for cost⁃efficient green cellular networks [J]. IEEE communications magazine, 2010, 48(11): 74–79. DOI: 10.1109/mcom.2010.5621970 DOI
3	NIU Z S. TANGO: traffic⁃aware network planning and green operation [J]. IEEE wireless communications, 2011, 18(5): 25–29. DOI: 10.1109/mwc.2011.6056689 DOI
4	LI G, XU Z K, XIONG C, et al. Energy⁃efficient wireless communications: tutorial, survey, and open issues [J]. IEEE wireless communications, 2011, 18(6): 28–35. DOI: 10.1109/mwc.2011.6108331 DOI
5	ZHU J K. Capacity⁃power consumption and energy⁃efficiency evaluation of green wireless networks [J]. China communications, 2012, 9(2): 13–21
6	ZHU J K, XU L. Spectrum⁃efficiency and energy⁃efficiency functions of green cellular networks [J]. Journal of communications, 2013, 34(1): 1–7
7	MURDOCK J N, RAPPAPORT T S. Consumption factor and power⁃efficiency factor: a theory for evaluating the energy efficiency of cascaded communication systems [J]. IEEE journal on selected areas in communications, 2014, 32(2): 221–236. DOI: 10.1109/jsac.2014.141204 DOI
8	ZI R, GE X H, THOMPSON J, et al. Energy efficiency optimization of 5G radio frequency chain systems [J]. IEEE journal on selected areas in communications, 2016, 34(4): 758–771. DOI: 10.1109/jsac.2016.2544579 DOI
9	KHAN T A, YAZDAN A, HEATH R W. Optimization of power transfer efficiency and energy efficiency for wireless⁃powered systems with massive MIMO [J]. IEEE transactions on wireless communications, 2018, 17(11): 7159–7172. DOI: 10.1109/twc.2018.2865727 DOI
10	PATCHARAMANEEPAKORN P, WANG C X, FU Y, et al. Quadrature space⁃frequency index modulation for energy⁃efficient 5G wireless communication systems [J]. IEEE transactions on communications, 2018, 66(7): 3050–3064. DOI: 10.1109/tcomm.2017.2776956 DOI
11	LIN D Y, MIN W D, XU J F. An energy⁃saving routing integrated economic theory with compressive sensing to extend the lifespan of WSNs [J]. IEEE internet of things journal, 2020, 7(8): 7636–7647. DOI: 10.1109/jiot.2020.2987354 DOI
12	MIN S, MENG Z. Energy efficiency optimization for wireless powered sensor networks with nonorthogonal multiple access [J]. IEEE sensors letters, 2018, 2(1): 1–4. DOI: 10.1109/lsens.2018.2792454 DOI
13	SADEK A K, YU W, LIU K J R. On the energy efficiency of cooperative communications in wireless sensor networks [J]. ACM transactions on sensor networks, 2009, 6(1): 1–21. DOI: 10.1145/1653760.1653765 DOI
14	YI Q. Spectrum efficiency and energy efficiency in wireless communication networks [J]. IEEE wireless communications, 2020, 27(5): 2–3. DOI: 10.1109/mwc.2020.9241874 DOI
15	CAI Y, NI Y, ZHANG J, et al. Energy efficiency and spectrum efficiency in underlay device⁃to⁃device communications enabled cellular networks [J]. China communications, 2019, 16(4): 16–34
16	GreenTouch. Reducing the net energy consumption in communications networks by up to 98% by 2020 [R]. Murrav Hill, USA: GreenTouch Consortium, 2015
17	ELMIRGHANI J M H, KLEIN T, HINTON K, et al. GreenTouch GreenMeter core network energy⁃efficiency improvement measures and optimization [J]. Journal of optical communications and networking, 2018, 10(2): A250–A269
18	SHANNON C E. A mathematical theory of communication [J]. Bell system technical journal, 1948, 27(3): 379–423. DOI: 10.1002/j.1538-7305.1948.tb01338.x DOI

Saving Energy for Wireless Transmission: An Important Revelation from Shannon Formula

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 18

Related Articles 0

Recommended Articles

Metrics