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Maximization of Throughput in Wireless Powered Communication Networks

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Sushama S. Mule

Sushama S Mule. Maximization of Throughput in Wireless Powered Communication Networks. International Journal of Computer Applications 169(2):5-9, July 2017. BibTeX

	author = {Sushama S. Mule},
	title = {Maximization of Throughput in Wireless Powered Communication Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {2},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {5-9},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017914592},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This work concentrates the recently developing remote wireless powered communication network in which one hybrid access point (H-AP) with constant power supply coordinates the wireless energy/information transmissions to/from a set of distributed users that do not have other energy sources. A “harvest-then- transmit” procedure is planned where all client first harvest(save) the wireless energy transmit by the H-AP in the downlink(DL) and then send their autonomous information to the HAP in the uplink (UL) by time-division-multiple-access (TDMA).First, we study the sum-throughput maximization of all users by jointly optimizing the time allocation for the DL wireless power transfer versus the users’ UL information transmissions given a total time limit based on the users’ DL and UL channels as well as their average harvested energy values. By applying convex optimization techniques, we obtain the closed form expressions for the optimal time allocations to maximize the sum-throughput. Our clarification reveals an attractive “doubly-near-far” phenomenon due to both the DL and UL distance dependent signal attenuation, where a far user from the HAP, which receives less wireless energy than a nearer user in the DL, has to transmit with more power in the UL for reliable information transmission. As a result, the maximum sum throughput is revealed to be achieved by allocating significantly more time to the near users than the far users, thus resulting in unfair rate allocation among different users. To overcome this problem, we furthermore propose a new performance metric so called common-throughput with the additional constraint that all users should be allocated with an equal rate regardless of their distances to the H-AP. In this work, We solve the common-throughput maximization problem. Simulation results demonstrate the effectiveness of the common-throughput approach for solving the new doubly near-far problem in communication network.


  1. A. M. Zungeru, L. M. Ang, S. Prabaharan, and K. P. Seng, “Radio frequency energy harvesting and management for wireless sensor networks,” Green Mobile Devices Netw.: Energy Opt. Scav. Tech., CRC Press, pp. 341–368, 2012.
  2. R. J. M. Vullers, R. V. Schaijk, I. Doms, C. V. Hoof, and R. Mertens, “Micropower energy harvesting,” Elsevier Solid-State Circuits, vol. 53,no. 7, pp. 684–693, July 2009.
  3. Y. Shi, L. Xie, Y. T. Hou, and H. D. Sherali, “On renewable sensor networks with wireless energy transfer,” in Proc. 2011 IEEE INFOCOM, pp. 1350–1358.
  4. K. Huang and V. K. N. Lau, “Enabling wireless power transfer in cellular networks: architecture, modeling and deployment,” submitted for publication. Available: arxiv:1207.5640.
  5. S. H. Lee, R. Zhang, and K. B. Huang, “Opportunistic wireless energy harvesting in cognitive radio networks,” IEEE Trans. Wireless Commun., vol. 12, no. 9, pp. 4788–4799, Sept. 2013.
  6. L. R. Varshney, “Transporting information and energy simultaneously,” in Proc. 2008 IEEE Int. Symp. Inf. Theory, pp. 1612–1616.
  7. P. Grover and A. Sahai, “Shannon meets Tesla: wireless information and power transfer,” in Proc. 2010 IEEE Int. Symp. Inf. Theory, pp. 2363–2367.
  8. R. Zhang and C. K. Ho, “MIMO broadcasting for simultaneous wireless information and power transfer,” IEEE Trans. Wireless Commun., vol. 12, no. 5, pp. 1989–2001, May 2013
  9. L. Liu, R. Zhang, and K. C. Chua, “Wireless information transfer with opportunistic energy harvesting,” IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 288–300, Jan. 2013.
  10. X. Zhou, R. Zhang, and C. K. Ho, “Wireless information and power transfer: Architecture design and rate-energy tradeoff,” to appear in IEEE Trans. Commun.. Available: arXiv:1205.0618
  11. A. M. Fouladgar and O. Simeone, “On the transfer of information and energy in multi-user systems,” IEEE Commun. Lett., vol. 16, no. 11, pp. 1733–1736, Nov. 2012.
  12. D. B. Johnson and D. A. Maltz, “Dynamic source routing in adhoc wireless networks,” Mobile Comput., vol. 353, pp. 153–181, 1996.
  13. R. Vaze and K. Jagannathan, “Finite-horizon optimal transmission policies for energy harvesting sensors,” in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, May 2014, pp. 3518–3522.
  14. A. Goldsmith, Wireless Communications. Cambridge University Press.
  15. H. Ju and R. Zhang, “Throughput maximization in wireless powered communication networks,” Wireless Communications, IEEE Transactions on, vol. 13, no. 1, pp. 418–428, January 2014.
  16. T. F. Coleman and Y. Li, “An interior trust region approach for nonlinear minimization subject to bounds,” SIAM Journal on Optimization, vol. 6, no. 2, pp. 418–445, 1996.
  17. “On the convergence of reflective newton methods for large-scale nonlinear minimization subject to bounds,” Mathematical Programming, vol. 67, no. 2, pp. 189–224, 1994.
  18. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.
  19. Yong Zeng, Bruno Clerckx, and Rui Zhang, “Communications and Signals Design for Wireless Power Transmission” IEEE Transactions (Invited Paper) 21 November 2016.
  20. S. Bi, Y. Zeng, and R. Zhang, “Wireless powered communication networks: an overview,” IEEE Wireless Commun., vol. 23, no. 2, pp.10–18, Apr. 2016.
  21. K. Huang, Zhong, anG. Zhu, “Some new research trends in wirelessly powered communications,” IEEE Wireless Communication, vol. 23,no. 2, pp. 19–27, Apr. 2016.


Wireless power, Doubly near-far problem, TDMA, Convex optimization.