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Low complexity resource allocation in the relay channels with energy harvesting transmitters
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Low complexity resource allocation in the relay channels with energy harvesting transmitters

Mohassel Feghhi, M

Low complexity resource allocation in the relay channels with energy harvesting transmitters

Mohassel Feghhi, M ; Sharif University of Technology | 2018

630 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.adhoc.2018.05.004
  3. Publisher: Elsevier B.V , 2018
  4. Abstract:
  5. Energy Harvesting (EH) is a novel technique to prolong the lifetime of the wireless Ad-hoc and sensor networks with replenishable nodes. In this sense, it has emerged as a promising technique for Green Communications. On the other hand, cooperative communication with the help of relay nodes improves the performance of wireless communication networks. In this paper, we investigate the cooperation in EH nodes. We consider the optimal power and rate allocation in the full-duplex Gaussian relay channel in which source and relay can harvest energy from their environments. In our model, the energy arrivals at the source and the relay are general stochastic processes with known EH times and amounts before the start of transmission. This problem has a constrained min-max optimization form that is not easy to solve. We propose a method based on a mathematical theorem to decompose it into two problems: the first problem has a tractable convex optimization form and can be solved efficiently. We show that the second problem is an unconstrained discrete convex optimization problem, which has the complexity of O(K2), instead of O(2K), where K is the dimension of variables. Also, we provide some numerical examples that confirm our results. © 2018 Elsevier B.V
  6. Keywords:
  7. Convex optimization ; Relay channel ; Resource allocation ; Communication channels (information theory) ; Complex networks ; Constrained optimization ; Cooperative communication ; Electric relays ; Random processes ; Sensor networks ; Sensor nodes ; Stochastic models ; Stochastic systems ; Wireless ad hoc networks ; Wireless telecommunication systems ; Convex optimization problems ; Discrete convexity ; Green communications ; Min-max optimization ; Novel techniques ; Relay channels ; Wireless ad hoc and sensor networks ; Wireless communication network ; Energy harvesting
  8. Source: Ad Hoc Networks ; Volume 77 , 2018 , Pages 108-118 ; 15708705 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S1570870518302130