Implementation of a control system of intelligent antennas based on the sequential quadratic programming (SQP) algorithm

Nemri, Nadhem; Hammami, A.; Ghayoula, Ridha; Gharsallah, Ali; Trabelsi, H.; Grenier, Dominic

doi:10.1109/eucap.2014.6902143

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…Unfortunately, in this case, the problem cannot be transformed into a convex optimization. Hence, we appoint SQP, a well‐known method for solving nonconvex optimization problems . The SQP is an iterative technique where the nonlinear programming problem is modeled by quadratic programming subproblems …”

Section: Proposed Solution For Multiuser Casementioning

confidence: 99%

On fair power optimization in nonorthogonal multiple access multiuser networks

Ali

Sidhu

Waqas

et al. 2018

Trans Emerging Tel Tech

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Nonorthogonal multiple access (NOMA) has been recognized as a key solution to fulfill the demands of 5G wireless communication. In this paper, our aim is to maximize the fairness in the data rates of different users in a multiuser NOMA system. We optimize the downlink transmission subject to minimum rate requirement of each user, limited power budget at the transmitter, and the successive interference cancelation constraint. First, we solve the problem for two‐user scenario where the nonconvex problem is transformed into a standard convex minimization problem and the duality theory is exploited to find the solution. The optimal power allocation is obtained from the Karush‐Kuhn‐Tucker (KKT) conditions, whereas the dual problem is solved via subgradient algorithm. As a next step, we consider the general multiuser optimization problem where more than two users can share the same channel under NOMA transmission. We design efficient solution techniques to solve the nonconvex optimization problem with sequential quadratic programming (SQP). Furthermore, two suboptimal low complexity solutions are also presented. We found that, under the proposed schemes, the fairness increases with increasing the available transmit power and decreases with the increasing the number of users. We show a complexity comparison of the dual‐based solution and the SQP algorithm. It is observed that power optimization through KKT conditions exhibits much lower computational complexity as compared to the SQP‐based solution.

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Section: Proposed Solution For Multiuser Casementioning

confidence: 99%

On fair power optimization in nonorthogonal multiple access multiuser networks

Ali

Sidhu

Waqas

et al. 2018

Trans Emerging Tel Tech

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show abstract

“…After developing the model of control for the digital phase shifters (8 bits) [14], in the following, we proceed to the implementation for synthesizing phases by the Taguchi algorithm. Our solution is to divide the space into 13 sectors (S1,..,S13), repeated every 10° in the interval from -65° to 65° inclusive ( Figure 5), each sector represents a steering lobe.…”

Section: Implementation Of the Synthesized Phasesmentioning

confidence: 99%

“…Once the pointing angle is given, the control device generates the outputs (synthesized phases) which will be the inputs for the digital phase shifters. Then, we find the stage of Modulator/Demodulator, which will be assured by modulators AD8349 in the case of broadcast and by demodulator AD8347 in the case of reception [14]. The RF section includes 6 elementary antennas, to guide the radiation pattern to the desired sector; we must simultaneously excite each antenna by the appropriate phases which are already synthesized with the Taguchi method, so we must use 6 digital phase shifters to realize this.…”

Section: Figure 5 Sector Beamformingmentioning

confidence: 99%

Synthesis and Implementation (In STM8S) of Phased Circular Antenna Arrays Using Taguchi Method

Nemri

Badri

Ghayoula

et al. 2016

IJECE

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<span lang="EN-US">This paper is aimed at assessing the effectiveness of the phase-only control strategy based on a customized Taguchi method when applied to Uniform Circular Arrays (UCA). The objective of this paper consists to contribute the main lobe optimization of the smart antenna using Taguchi's method. We used the cited method in order to determine phase's weights for each element of the circular antenna array in order to steer the principal lobe from -65° to 65° covering all angular space. After that, we made an electronic platform using the microcontroller STM8S in order to implement an intelligent system. The architecture of this work had used a digital phase shifters, a demodulator AD8347, a modulator AD8349, an array antenna, cards STM8S-Discovery.</span>

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Implementation of a control system of intelligent antennas based on the sequential quadratic programming (SQP) algorithm

Cited by 2 publications

References 6 publications

On fair power optimization in nonorthogonal multiple access multiuser networks

On fair power optimization in nonorthogonal multiple access multiuser networks

Synthesis and Implementation (In STM8S) of Phased Circular Antenna Arrays Using Taguchi Method

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