Performance Analysis of cooperative SWIPT System: Intelligent Reflecting Surface versus Decode-and-Forward

Document Type : Research Article


1 Tehran

2 Department of Electrical Engineering, Amirkabir University of Technology.


In this paper, we explore the impacts of utilizing intelligent reflecting surfaces (IRS) in a power-splitting based simultaneous wireless information and power transfer (PS-SWIPT) system and compare its performance with the traditional decode and forward relaying system. To analyze a more practical system, it is also assumed that the receiving nodes are subject to decoding cost, and they are only informed about the imperfect channel state information (CSI). First, we drive the achievable data rate of single IRS-assisted cooperative communications, and to maximize the achievable rate, optimal phase shits for each elements of the IRS node is derived, and finally the optimal power splitting ratio at the destination is obtained. The system model is extended to consider two and multiple IRS-assisted system. The respective achievable rates are derived and optimized accordingly. To evaluate the benefits of using the IRS, we have also derived the achievable rate for a two-hop decode and forward relaying scheme, wherein both the relay and the destination not only did they equip with pre-dedicated power but also they can harvest energy from the received signals to provide the required power for the decoding. For this case, optimal power splitting factor at both the relay and the destination are optimized. Finally, the numerical results are presented to examine and compare the performance of the two considered systems. It is shown that by increasing the size of the reflecting surface, IRS-based cooperative transmission outperforms the conventional relaying scheme.


dor 20.1001.1.25882953.2019.

[1] E. Björnson, J. Hoydis, L. Sanguinetti, Massive MIMO networks: Spectral, energy, and hardware efficiency, Foundations and Trends® in Signal Processing, 11(3-4) (2017) 154-655.
[2] C. Liaskos, S. Nie, A. Tsioliaridou, A. Pitsillides, S. Ioannidis, I. Akyildiz, A new wireless communication paradigm through software-controlled metasurfaces, IEEE Communications Magazine, 56(9) (2018) 162-169.
[3] E. Björnson, L. Sanguinetti, H. Wymeersch, J. Hoydis, T.L. Marzetta, Massive MIMO is a Reality-What is Next? Five Promising Research Directions for Antenna Arrays, arXiv preprint arXiv:1902.07678,  (2019).
[4] S. Hu, F. Rusek, O. Edfors, Beyond massive MIMO: The potential of data transmission with large intelligent surfaces, IEEE Transactions on Signal Processing, 66(10) (2018) 2746-2758.
[5] Q. Wu, R. Zhang, Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network, arXiv preprint arXiv:1905.00152,  (2019).
[6] Y.-C. Liang, R. Long, Q. Zhang, J. Chen, H.V. Cheng, H. Guo, Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart, arXiv preprint arXiv:1906.06578,  (2019).
[7] C. Huang, G.C. Alexandropoulos, A. Zappone, M. Debbah, C. Yuen, Energy efficient multi-user MISO communication using low resolution large intelligent surfaces, in:  2018 IEEE Globecom Workshops (GC Wkshps), IEEE, 2018, pp. 1-6.
[8] Q. Wu, R. Zhang, Intelligent reflecting surface enhanced wireless network: Joint active and passive beamforming design, in:  2018 IEEE Global Communications Conference (GLOBECOM), IEEE, 2018, pp. 1-6.
[9] T.M. Cover, J.A. Thomas, Elements of information theory, John Wiley & Sons, 2012.
[10] M. Di Renzo, M. Debbah, D.-T. Phan-Huy, A. Zappone, M.-S. Alouini, C. Yuen, V. Sciancalepore, G.C. Alexandropoulos, J. Hoydis, H. Gacanin, Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come, EURASIP Journal on Wireless Communications and Networking, 2019(1) (2019) 129.
[11] C. Huang, A. Zappone, G.C. Alexandropoulos, M. Debbah, C. Yuen, Large intelligent surfaces for energy efficiency in wireless communication, arXiv preprint arXiv:1810.06934,  (2018).
[12] S. Hu, F. Rusek, O. Edfors, Capacity degradation with modeling hardware impairment in large intelligent surface, in:  2018 IEEE Global Communications Conference (GLOBECOM), IEEE, 2018, pp. 1-6.
[13] E. Björnson, Ö. Özdogan, E.G. Larsson, Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?, arXiv preprint arXiv:1906.03949,  (2019).
[14] Q. Wu, R. Zhang, Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface with Discrete Phase Shifts, arXiv preprint arXiv:1906.03165,  (2019).
[15] I. Krikidis, S. Timotheou, S. Nikolaou, G. Zheng, D.W.K. Ng, R. Schober, Simultaneous wireless information and power transfer in modern communication systems, IEEE Communications Magazine, 52(11) (2014) 104-110.
[16] C. Peng, F. Li, H. Liu, Optimal power splitting in two-way decode-and-forward relay networks, IEEE Communications Letters, 21(9) (2017) 2009-2012.
[17] H. Liu, K.J. Kim, K.S. Kwak, H.V. Poor, Power splitting-based SWIPT with decode-and-forward full-duplex relaying, IEEE Transactions on Wireless Communications, 15(11) (2016) 7561-7577.
[18] X. Wang, J. Liu, C. Zhai, Wireless power transfer-based multi-pair two-way relaying with massive antennas, IEEE Transactions on Wireless Communications, 16(11) (2017) 7672-7684.
[19] Y. Lou, Y. Zheng, J. Cheng, H. Zhao, Performance of SWIPT-Based Differential AF Relaying Over Nakagami-$ m $ Fading Channels With Direct Link, IEEE Wireless Communications Letters, 7(1) (2017) 106-109.
[20] Q. Li, Q. Zhang, J. Qin, Secure relay beamforming for SWIPT in amplify-and-forward two-way relay networks, IEEE Transactions on Vehicular Technology, 65(11) (2016) 9006-9019.
[21] J. Tang, D.K. So, N. Zhao, A. Shojaeifard, K.-K. Wong, Energy efficiency optimization with SWIPT in MIMO broadcast channels for Internet of Things, IEEE Internet of Things Journal, 5(4) (2017) 2605-2619.
[22] Y. Huang, M. Liu, Y. Liu, Energy-efficient SWIPT in IoT distributed antenna systems, IEEE Internet of Things Journal, 5(4) (2018) 2646-2656.
[23] A. Arafa, S. Ulukus, Optimal policies for wireless networks with energy harvesting transmitters and receivers: Effects of decoding costs, IEEE Journal on Selected Areas in Communications, 33(12) (2015) 2611-2625.
[24] A. Arafa, A. Baknina, S. Ulukus, Energy harvesting two-way channels with decoding and processing costs, IEEE Transactions on Green Communications and Networking, 1(1) (2016) 3-16.
[25] C. Qin, W. Ni, H. Tian, R.P. Liu, Y.J. Guo, Joint beamforming and user selection in multiuser collaborative MIMO SWIPT systems with nonnegligible circuit energy consumption, IEEE Transactions on Vehicular Technology, 67(5) (2017) 3909-3923.
[26] M. Abedi, H. Masoumi, M.J. Emadi, Power splitting-based SWIPT systems with decoding cost, IEEE Wireless Communications Letters,  (2018).