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RRM inWireless Communications with Energy Harvest Technology

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Radio Resource Management Using Geometric Water-Filling

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

There has been recent research effort on understanding data transmission with an energy harvesting transmitter that has a rechargeable battery for green communications [1–4]. Recently, based on [3, 5] further investigates the issues of power allocation problems to minimize the grid power consumption with random energy and data arrival. In more detail, for the implied problem that is a convex optimization problem, rather than the original non-convex problem, a solution is computed. For convenience and without loss of generality, the process is considered as a discrete time process. The simplest and useful system model, illustrated in Fig. 5.1, assumes that there are K epochs in the time period (0, T]. For each epoch, an event occurs which may be the consequence of channel fading gain variation or new energy arrival, or both. This setting leads to new design insights in a wireless link with a rechargeable transmitter and fading channels.

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References

  1. J. Lei, R. Yates and L. Greenstein, “A generic model for optimizing single-hop transmission policy of replenishable sensors,” IEEE Transactions on Wireless Communications, vol. 8, pp. 547–551, 2009.

    Article  Google Scholar 

  2. V. Sharma, U. Mukherji, V. Joseph and S. Gupta, “Optimal energy management policies for energy harvesting sensor nodes,” IEEE Transactions on Wireless Communications, vol. 9, pp. 1326–1336, 2010.

    Article  Google Scholar 

  3. O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus and A. Yener, “Transmission with energy harvesting nodes in fading wireless channels: Optimal policies,” IEEE Journal of Selected Areas in Communications, vol. 29, pp. 1732–1743, 2011.

    Article  Google Scholar 

  4. C. Ho and R. Zhang, “Optimal energy allocation for wireless communications with energy harvesting constraints,” IEEE Transactions on Signal Processing, vol. 60, pp. 4808–4818, 2012.

    Article  MathSciNet  Google Scholar 

  5. J. Gong, S. Zhou and Z. Niu, “Optimal power allocation for energy harvesting and power grid coexisting wireless communication systems,” IEEE Transactions on Communications, vol. 61, pp. 3040–3049, 2013.

    Article  Google Scholar 

  6. M. Gatzianas, L. Georgiadis and L. Tassiulas, “Control of wireless networks with rechargeable batteries,” IEEE Transactions on Wireless Communications, vol. 9, pp. 581–593, 2010.

    Article  Google Scholar 

  7. A. Goldsmith and P. Varaiya, “Capacity of fading channels with channel side information,” IEEE Transactions on Information Theory, vol. 43, pp. 1986–1992, 1997.

    Article  MATH  MathSciNet  Google Scholar 

  8. P. He, L. Zhao, S. Zhou and Z. Niu, “Recursive water-filling for wireless links with energy harvesting transmitters,” IEEE Transactions on Vehicular Technology, (Accepted in 2013).

    Google Scholar 

  9. W. Zangwill, Nonlinear Programming: A Unified Approach, Prentice-Hall, Englewood Cliffs, 1969.

    MATH  Google Scholar 

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He, P., Zhao, L., Zhou, S., Niu, Z. (2014). RRM inWireless Communications with Energy Harvest Technology. In: Radio Resource Management Using Geometric Water-Filling. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-04636-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-04636-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04635-8

  • Online ISBN: 978-3-319-04636-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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