Abstract
In this chapter we consider time switching (TS) simultaneous wireless information and power transfer (SWIPT) for a small-cell network consisting of multiple multi-antenna access points (APs) that serve multiple single antenna user equipments (UEs). In this scenario, we address the jointly optimized design of spatial precoding and TS ratios under a multi-objective optimization (MOO) framework. Our goal is to maximize a utility vector including the data rates and harvested energies of all UEs simultaneously. This problem is a non-convex rank-constrained MOO problem which is transformed into a non-convex semidefinite program using the weighted Chebyshev method. We propose an algorithm based on majorization–minimization approach to solve this problem. Numerical results are provided to demonstrate the performance of the proposed beamforming and TS algorithm in terms of harvested energy-data rate trade-off. The effect of different parameters on this trade-off is also investigated to get a general overview for the practical design of the network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
S. Bi, C. Ho, R. Zhang, Wireless powered communication: opportunities and challenges. IEEE Commun. Mag. 53(4), 117–125 (2015)
L.R. Varshney, Transporting information and energy simultaneously, in IEEE International Symposium on Information Theory, Auckland, December 2008
R. Zhang, C.K. Ho, MIMO broadcasting for simultaneous wireless information and power transfer. IEEE Trans. Wirel. Commun. 12(5), 1989–2001 (2013)
L. Liu, R. Zhang, K.C. Chua, Wireless information transfer with opportunistic energy harvesting. IEEE Trans. Wirel. Commun. 12(1), 288–300 (2013)
L. Liu, R. Zhang, K.C. Chua, Wireless information and power transfer: a dynamic power splitting approach. IEEE Trans. Commun. 61(9), 3990–4001 (2013)
X. Zhou, Training-based SWIPT: optimal power splitting at the receiver. IEEE Trans. Veh. Technol. 64(9), 4377–4382 (2015)
D.W.K. Ng, E.S. Lo, R. Schober, Wireless information and power transfer: energy efficiency optimization in OFDMA systems. IEEE Trans. Wirel. Commun. 12(12), 6352–6370 (2013)
H. Zhang, K. Song, Y. Huang et al., Energy harvesting balancing technique for robust beamforming in multiuser MISO SWIPT system, in Proceedings of IEEE International Conference on Wireless Communication and Signal Processing (WCSP), Hangzhou, October 2013
Q. Shi, L. Liu, W. Xu et al., Joint transmit beamforming and receive power splitting for MISO SWIPT systems. IEEE Trans. Wirel. Commun. 13(6), 3269–3280 (2014)
D. Wing, K. Ng, R. Schober, Resource allocation for coordinated multipoint networks with wireless information and power transfer, in IEEE Global Communications Conference, Austin, TX, December 2014
Y. Dong, M. Hossain, J. Cheng, Joint power control and time switching for SWIPT systems with heterogeneous QoS requirements. IEEE Commun. Lett. 20(2), 328–331 (2015)
M. Sheng, L. Wang, X. Wang et al., Energy efficient beamforming in MISO heterogeneous cellular networks with wireless information and power transfer. IEEE J. Sel. Areas Commun. 34(4), 954–968 (2016)
J. Park, B. Clerckx, Joint wireless information and energy transfer in a two-user MIMO interference channel. IEEE Trans. Wirel. Commun. 12(8), 4210–4221 (2013)
Z. Zong, H. Feng, F.R. Yu et al., Optimal transceiver design for SWIPT in k-user MIMO interference channels. IEEE Trans. Wirel. Commun. 15(1), 430–445 (2016)
E. Bjornson, E.A. Jorswieck, M. Debbah et al., Multiobjective signal processing optimization: the way to balance conflicting metrics in 5G systems. IEEE Signal Process. Mag. 31(6), 14–23 (2014)
S. Leng, D.W.K. Ng, N. Zlatanov et al., Multi-objective beamforming for energy-efficient SWIPT systems, in IEEE International Conference on Communications (ICC), Kuala Lumpur, 22–27 May 2016
S. Leng, D.W.K. Ng, N. Zlatanov et al., Multi-objective resource allocation in full-duplex SWIPT systems (2015). arXiv preprint arXiv:1509.05959
M. Peng, Y. Li, J. Jiang et al., Heterogeneous cloud radio access networks: a new perspective for enhancing spectral and energy efficiencies. IEEE Trans. Wirel. Commun. 21(6), 126–135 (2014)
X. Lu, P. Wang, D. Niyato, Wireless networks with RF energy harvesting: a contemporary survey. Commun. Surv. Tutorials 17(2), 757–789 (2015)
D.R. Hunter, K. Lange, A tutorial on MM algorithms. Am. Stat. 58(1), 30–37 (2004)
N. Janatian, I. Stupia, L. Vandendorpe, Joint MOO of transmit precoding and receiver design in a downlink time switching MISO SWIPT system (2016). arXiv preprint arXiv:1610.08290
P.M. Pardalos, A. Migdalas, L. Pitsoulis, Pareto optimality, game theory and equilibria, in Pareto Optimality, ed. by D.T. Luc (Springer Science & Business Media, New York, 2008), pp. 481–515
R.H.N. Thoai, Dc programming: an overview. J. Optim. Theory Appl. 193(1), 1–43 (1999)
R.H. Tutuncu, K.C. Toh, M.J. Todd, Solving semidefinite-quadratic-linear programs using SDPT3. Math. Program. 95(2), 189–217 (2003)
N. Janatian, I. Stupia, L. Vandendorpe, Joint multi-objective transmit precoding and receiver time switching design for MISO SWIPT systems, in IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications, University of Edinburgh, July 2016
G.R. Lanckriet, B.K. Sriperumbudur, On the convergence of the concave-convex procedure. Adv. Neural Inf. Process. Syst. 22, 1759–1767 (2009)
W.I. Zangwill, Nonlinear Programming (Prentice Hall, Englewood Cliffs, NJ, 1969)
Acknowledgements
The authors would like to thank IAP BESTCOM project funded by BELSPO, and the FNRS for the financial support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Janatian, N., Stupia, I., Vandendorpe, L. (2018). Multi-Objective Resource Allocation Optimization for SWIPT in Small-Cell Networks. In: Jayakody, D., Thompson, J., Chatzinotas, S., Durrani, S. (eds) Wireless Information and Power Transfer: A New Paradigm for Green Communications. Springer, Cham. https://doi.org/10.1007/978-3-319-56669-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-56669-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-56668-9
Online ISBN: 978-3-319-56669-6
eBook Packages: EngineeringEngineering (R0)