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Optimal relaying in energy harvesting wireless networks with wireless-powered relays

Moradian, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TGCN.2019.2932040
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. In this paper, we consider a wireless cooperative network with a wireless-powered energy harvesting (EH) relay. The relay employs a time switching (TS) policy that switches between the EH and data decoding (DD) modes. Both energy and data buffers are kept at the relay to store the harvested energy and decoded data packets, respectively. In this paper, we derive static and dynamic TS policies that maximize the system throughput or minimize the average transmission delay. In particular, in the static policies, the EH or DD mode is selected with a pre-determined probability. In contrast, in a dynamic policy, the mode is selected dynamically according to the states of data and energy buffers. We prove that the throughput-optimal static and dynamic policies keep the relay data buffer at the boundary of stability. More specifically, we show that the throughput-optimal dynamic policy has a threshold-based structure. Moreover, we prove that the delay-optimal dynamic policy is threshold-based and keeps at most one packet at the relay. We notice that unlike the static case, the delay-optimal and throughput-optimal dynamic policies coincide in most cases. Finally, through extensive numerical results, we demonstrate the efficiency of the optimal dynamic policies compared with the static ones. © 2017 IEEE
  6. Keywords:
  7. Cooperative network ; Delay ; Quasi-birth-death (QBD) process ; Relaying ; Threshold-based structure ; Decoding ; Throughput ; Time switches ; Wireless networks ; Co-operative systems ; Cooperative networks ; Delays ; Quasi-birth-death process ; Radio frequencies ; Relays ; Energy harvesting
  8. Source: IEEE Transactions on Green Communications and Networking ; Volume 3, Issue 4 , 2019 , Pages 1072-1086 ; 24732400 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8781809