Ergodic Capacity and Throughput Analysis of Two-Way Wireless Energy Harvesting Network with Decode-and-Forward Relay

  • Yingting LiuEmail author
  • Jianmei Shen
  • Hongwu Yang
  • Chunman Yan
  • Li Cong
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)


In this paper, we consider a wireless energy harvesting network, where two source nodes exchange information via a decode-and-forward (DF) relay node. The network adopts the time switching relaying (TSR) or power splitting relaying (PSR) protocols. In the TSR protocol, transmitting process is split into three time slots. In the first time slot, two source nodes send the signals to the relay node simultaneously and the relay node harvests energy from the radio frequency (RF) signals. In the second time slot, two source nodes send the information signals to the relay node simultaneously. In the third time slot, the relay node decodes the signals and then forwards the regenerated signal to two source nodes using all harvested energy. In the PSR protocol, every transmission frame is divided into two equal time duration slots. The energy constrained relay node splits the received power into two parts for energy harvesting (EH) and information processing in the first time slot, respectively, and forwards the reproduced information signal to the source nodes in the second time slot. We derive the analytical expressions of the ergodic capacity and ergodic throughput of the network both for the TSR and PSR protocols. Numerical results verify the theoretical analysis and exhibit the performance comparisons of two proposed schemes.


Decode-and-forward Wireless energy harvesting Power splitting relaying Time switching relaying Ergodic capacity Throughput 


  1. 1.
    Liu, P., et al.: Energy harvesting noncoherent cooperative communications. IEEE Trans. Wireless Commun. 14, 6722–6737 (2015)CrossRefGoogle Scholar
  2. 2.
    Liu, P., et al.: Noncoherent relaying in energy harvesting communication systems. IEEE Trans. Wireless Commun. 14, 6940–6954 (2015)CrossRefGoogle Scholar
  3. 3.
    Nasir, A.A., et al.: Relaying protocols for wireless energy harvesting and information processing. IEEE Trans. Wireless Commun. 12, 3622–3636 (2013)CrossRefGoogle Scholar
  4. 4.
    Nasir, A.A., et al.: Throughput and ergodic capacity of wireless energy harvesting based DF relaying network. In: Proceedings of IEEE ICC, Sydney, NSW, Australia, pp. 4066–4071 (2014)Google Scholar
  5. 5.
    Ashraf, M.: Capacity maximizing adaptive power splitting protocol for cooperative energy harvesting communication systems. IEEE Commun. Lett. 22, 902–905 (2018)CrossRefGoogle Scholar
  6. 6.
    Lee, H., et al.: Outage probability analysis and power splitter designs for SWIPT relaying systems with direct link. IEEE Commun. Lett. 21, 648–651 (2017)CrossRefGoogle Scholar
  7. 7.
    Chen, Z., et al.: Wireless information and power transfer in two-way amplify-and-forward relaying channels. In: Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, USA, pp. 168–172 (2014)Google Scholar
  8. 8.
    Shah, S., et al.: Energy harvesting and information processing in two-way multiplicative relay networks. IET Electron. Lett. 52, 751–753 (2016)CrossRefGoogle Scholar
  9. 9.
    Van, N., et al.: Three-step two-way decode and forward relay with energy harvesting. IEEE Commun. Lett. 21, 857–860 (2017)CrossRefGoogle Scholar
  10. 10.
    Rabie, K.M., et al.: Half-duplex and full-duplex AF and DF relaying with energy harvesting in log-normal fading. IEEE Trans. Green Commun. Netw. 1, 468–480 (2017)CrossRefGoogle Scholar
  11. 11.
    Rabie, K.M., et al.: Wireless power transfer in cooperative DF relaying networks with log-normal fading. In: Proceedings of IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, December, pp. 1–6 (2016)Google Scholar
  12. 12.
    Rabie, K.M., et al.: Energy harvesting in cooperative AF relaying networks over log-normal fading channels. In: Proceedings of IEEE International Conference on Communications (ICC), pp. 1–7 (2016)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Yingting Liu
    • 1
    Email author
  • Jianmei Shen
    • 1
  • Hongwu Yang
    • 1
  • Chunman Yan
    • 1
  • Li Cong
    • 2
  1. 1.The College of Physics and Electronic EngineeringNorthwest Normal UniversityLanzhouChina
  2. 2.The Information and Communication Company, Jilin Electric Power Company LimitedChangchunChina

Personalised recommendations