Assessment of a closed-form iterative water filling energy efficient power control algorithm in multi-carrier context

Charar, Mohamed Amine; Guennoun, Zouhair; Aniba, Ghassane

doi:10.1109/wincom.2017.8238195

Cited by 3 publications

(2 citation statements)

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“…Furthermore, in term of SE Dinkelbach algorithm is equivalent to closed form when it comes to D2D communication type. However, closed form algorithm outperforms the Dinkelbach for cellular type communication, which is in line with our previous work [31]. In term of time of execution, we remark that the Dinkelbach Algorithm suffers from a slow start in the first iterations then it becomes faster than closed form algorithms.…”

Section: Discussionsupporting

confidence: 89%

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Energy efficient power control for device to device communication in 5G networks

Charar¹,

Guennoun²

2020

IJECE

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Next generation cellular networks require high capacity, enhanced energy efficiency and guaranteed quality of service (QoS). In order to meet these targets, device-to device (D2D) communication is being considered for future 5th generation especially for certain applications that require the proximity gain, the reuse gain, and the hop gain. In this paper, we investigate energy efficient power control for the uplink of an OFDMA (orthogonal frequency-division multiple access) single-cell communication system composed of both regular cellular users and device to device (D2D) pairs. Firstly, we analyze and mathematically model the actual requirements forD2D communications and traditional cellular links in terms of minimum rate and maximum power requirement. Secondly, we use fractional programming in order to transform the original problem into an equivalent concave one and we use the non-cooperative Game theory in order to characterize the equilibrium. Then, the solution of the game is given as a water-filling power allocation. Furthermore, we implement a distributed power allocation scheme using three ways: a) Fractional programming techniques b) Closed form expression (the novelty is the use of wright omega function). c) Inverse water filling. Finally, simulations in both static and dynamic channel setting are presented to illustrate the improved performance in term of EE, SE (spectral efficiency) and time of execution of the iterative algorithm (Dinkelbach) than the closed form algorithms.

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Section: Discussionsupporting

confidence: 89%

“…The algorithms got the optimal power value for a given λ, which is obtained from previous power values. The algorithms stop running whenever the resultant is relatively small [31]. The algorithms used are asynchronous: using the past strategy of the competitor in order to react to take a present action.…”

Section: Convergence Analysismentioning

confidence: 99%