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Energy-Efficient Joint Task Assignment and Power Control in Energy-Harvesting D2D Offloading Communications

Hamdi, Monia (author)
Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Informat Technol Dept, Riyadh 11564, Saudi Arabia.;Gabes Univ, Res Team Intelligent Machines, Gabes 6029, Tunisia.
Ben Hamed, Aws (author)
Sfax Univ, Fac Sci Sfax, Dept Math, Sfax 3029, Tunisia.
Yuan, Di (author)
Uppsala universitet,Datalogi,Avdelningen för datalogi
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Zaied, Mourad (author)
Gabes Univ, Res Team Intelligent Machines, Gabes 6029, Tunisia.
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Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Informat Technol Dept, Riyadh 11564, Saudi Arabia;Gabes Univ, Res Team Intelligent Machines, Gabes 6029, Tunisia. Sfax Univ, Fac Sci Sfax, Dept Math, Sfax 3029, Tunisia. (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2022
2022
English.
In: IEEE Internet of Things Journal. - : Institute of Electrical and Electronics Engineers (IEEE). - 2327-4662. ; 9:8, s. 6018-6031
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In this article, we investigate the joint task assignment and power control problems for Device-to-Device (D2D) offloading communications with energy harvesting. Exploiting the D2D links for data offloading allows reducing the traffic load of the cellular base stations. The energy consumed by the D2D transmitters for data offloading can be compensated by energy harvesting. The main objective is to maximize the energy efficiency (EE) under energy causality and delay constraints, assuming a harvest-transmit model. Hence, the proposed model results in a nonconvex problem. We first derive an equivalent and more tractable optimization problem by exploiting nonlinear fractional programming, also known as the Dinkelbach method. We propose a layered optimization method by decoupling the EE maximization problem into power allocation and offloading assignment. The first step consists of computing the optimal power values by applying the conjugate gradient method. In the second step, the problem of the D2D pair formation for data offloading amounts to the bipartite graph matching. It can be solved to optimality using the Hungarian algorithm. Extensive simulations were performed on various network scenarios. Numerical results show that the proposed resource allocation scheme achieves remarkable improvements in terms of network EE.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Keyword

Device-to-device communication
Task analysis
Energy harvesting
Optimization
Resource management
Power control
Mobile handsets
Conjugate gradient descent
data offloading
Device-to-Device (D2D) communications
energy efficiency (EE)
fractional programming

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Hamdi, Monia
Ben Hamed, Aws
Yuan, Di
Zaied, Mourad
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Uppsala University

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