Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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System-Level Analysis of Receiver Diversity in SWIPT-Enabled Cellular Networks

  • Lam, Thanh Tu (Laboratoire des Signaux et Systemes, CNRS, CentraleSupelec, Univ Paris Sud, Universite Paris-Saclay) ;
  • Renzo, Marco Di (Laboratoire des Signaux et Systemes, CNRS, CentraleSupelec, Univ Paris Sud, Universite Paris-Saclay) ;
  • Coon, Justin P. (Department of Engineering Science, Oxford University)
  • Received : 2016.03.24
  • Accepted : 2016.08.01
  • Published : 2016.12.31
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Abstract

In this paper, we study the feasibility of receiver diversity for application to downlink cellular networks, where low-energy devices are equipped with information decoding and energy harvesting receivers for simultaneous wireless information and power transfer. We compare several options that are based on selection combining and maximum ratio combining, which provide different implementation complexities. By capitalizing on the Frechet inequality, we shed light on the advantages and limitations of each scheme as a function of the transmission rate and harvested power that need to be fulfilled at the low-energy devices. Our analysis shows that no scheme outperforms the others for every system setup. It suggests, on the other hand, that the low-energy devices need to operate in an adaptive fashion, by choosing the receiver diversity scheme as a function of the imposed requirements. With the aid of stochastic geometry, we introduce mathematical frameworks for system-level analysis. We show that they constitute an important tool for system-level optimization and, in particular, for identifying the diversity scheme that optimizes wireless information and power transmission as a function of a sensible set of parameters. Monte Carlo simulations are used to validate our findings and to illustrate the trade-off that emerge in cellular networks with simultaneous wireless information and power transfer.

Keywords

Acknowledgement

Grant : H2020-ETN-5Gwireless project, EPSRC through the Spatially Embedded Networks project

Supported by : EC, EPSRC

References

  1. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, "Internet of things: A survey on enabling technologies, protocols, and applications", IEEE Commun. Surveys & Tuts., vol. 17, no. 4, pp. 2347-2376, 2015. https://doi.org/10.1109/COMST.2015.2444095
  2. I. Krikidis et al., "Simultaneous wireless information and power transfer in modern communication systems," IEEE Commun. Mag., vol. 52, no. 11, pp. 104-110, Nov. 2014. https://doi.org/10.1109/MCOM.2014.6957150
  3. http://vandrico.com/wearables/device/intel-mica.
  4. http://www.cnet.com/news/ring-ring-its-your-watch-calling-att-bets.
  5. http://www.3gpp.org/news-events/3gpp-news/1733-niot.
  6. M. Di Renzo, A. Guidotti, and G. E. Corazza, "Average rate of downlink heterogeneous cellular networks over generalized fading channels-A stochastic geometry approach," IEEE Trans. Commun., vol. 61, no. 7, pp. 3050-3071, July 2013. https://doi.org/10.1109/TCOMM.2013.050813.120883
  7. G. Zheng et al., "Rethinking the role of interference in wireless networks," IEEE Commun. Mag., vol. 52, no. 11, pp. 152-158, Nov. 2014. https://doi.org/10.1109/MCOM.2014.6957156
  8. Z. Ding et al., "Application of smart antenna technologies in simultaneous wireless information and power transfer," IEEE Commun. Mag., vol. 53, no. 4, pp. 86-93, Apr. 2015. https://doi.org/10.1109/MCOM.2015.7081080
  9. M. Di Renzo, H. Haas, A. Ghrayeb, S. Sugiura, and L. Hanzo, "Spatial modulation for generalized MIMO: Challenges, opportunities and implementation," Proc. of the IEEE, vol. 102, no. 1, pp. 56-103, Jan. 2014. https://doi.org/10.1109/JPROC.2013.2287851
  10. L. Liu, R. Zhang, and K. C. Chua, "Wireless information and power transfer: A dynamic power splitting approach," IEEE Trans. Commun., vol. 61, no. 9, pp. 3990-4001, Sep. 2013. https://doi.org/10.1109/TCOMM.2013.071813.130105
  11. I. Krikidis, S. Sasaki, S. Timotheou, and Z. Ding, "A low complexity antenna switching for joint wireless information and energy transfer in MIMO relay channels," IEEE Trans. Commun., vol. 62, no. 5, pp. 1577-1587, May 2014. https://doi.org/10.1109/TCOMM.2014.032914.130722
  12. X. Zhou, R. Zhang, and C. Ho, "Wireless information and power transfer: Architecture design and rate-energy tradeoff," IEEE Trans. Commun., vol. 61, no. 11, pp. 4754-4767, Nov. 2013. https://doi.org/10.1109/TCOMM.2013.13.120855
  13. I. Krikidis, "Simultaneous information and energy transfer in large-scale networks with/without relaying," IEEE Trans. Commun., vol. 62, no. 3, pp. 900-912, Mar. 2014. https://doi.org/10.1109/TCOMM.2014.020914.130825
  14. Z. Ding, I. Krikidis, B. Sharif, and H. V. Poor, "Wireless information and power transfer in cooperative networks with spatially random relays," IEEE Trans. Wireless Commun., vol. 13, no. 8, pp. 4440-4453, Aug. 2014. https://doi.org/10.1109/TWC.2014.2314114
  15. J. Guo, S. Durrani, X. Zhou, and H. Yanikomeroglu, "Outage probability of ad hoc networks with wireless information and power transfer," IEEE Wireless Commun. Lett., vol. 4, no. 4, pp. 409-412, Aug. 2015. https://doi.org/10.1109/LWC.2015.2427163
  16. I. Flint, L. Xiao, N. Privault, D. Niyato, and P. Wang, "Performance analysis of ambient RF energy harvesting with repulsive point process modeling," IEEE Trans. Wireless Commun., vol. 14, no. 10, pp. 5402-5416, Oct. 2015. https://doi.org/10.1109/TWC.2015.2437973
  17. X. Zhou, J. Guo, S. Durrani, and I. Krikidis, "Performance of maximum ratio transmission in ad hoc networks with SWIPT," IEEE Wireless Commun. Lett., vol. 4, no. 5, pp. 529-532, Oct. 2015. https://doi.org/10.1109/LWC.2015.2452922
  18. W. Lu, M. Di Renzo, and T. Q. Duong, "On stochastic geometry analysis and optimization of wireless-powered cellular networks," in Proc. IEEE GLOBECOM, Dec. 2015, pp. 1-7.
  19. W. Lu and M. Di Renzo, "Stochastic geometry modeling of cellular networks: Analysis, simulation and experimental validation," in Proc. ACM MSWiM, Nov. 2015, pp. 179-188.
  20. M. Frechet, "Sur les tableaux de correlation dont les marges son donnes," Annales de l'Universite de Lyon, Serie 3, vol. 4, pp. 53-57, 1951.
  21. N. G. Shephard, "From characteristic function to distribution function: A simple framework for the theory," Econometric Theory, vol. 7, no. 4, pp. 519-529, 1991. https://doi.org/10.1017/S0266466600004746
  22. M. Di Renzo and P. Guan, "Stochastic geometry modeling of coverage and rate of cellular networks using the Gil-Pelaez inversion theorem," IEEE Commun. Lett., vol. 18, no. 9, pp. 1575-1578, Sept. 2014. https://doi.org/10.1109/LCOMM.2014.2341251