Power allocation for minimizing energy consumption of OFDMA downlink with Cell DTx

Bonnefoi, Rémi; Moy, Christophe; Farès, Haïfa; Palicot, Jacques

doi:10.1109/ict.2017.7998232

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…If we are not in this case, and according to the KKT conditions, the optimum is obtained when the non-satisfied constraint is binding. Finally, once the value of µ a is obtained, we compute the transmit powers with equation (6).…”

Section: Problem Formulation and Resolutionmentioning

confidence: 99%

“…In this paper, we study the problem of power allocation when combining both techniques NOMA with Cell DTx. The problem of power allocation when considering Cell Dtx either with Time Division Multiple Access (TDMA) [3,4] or with Orthogonal Frequency Division Multiple Access (OFDMA) [5,6] has already been studied. However, as far as the authors knowledge goes, the problem of power allocation with NOMA and Cell DTx has not been studied in the literature yet.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Power Allocation for Minimizing the Energy Consumption of a NOMA Base Station with Cell DTx

Bonnefoi

Farès

Belis

et al. 2019

2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)

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In this paper, we consider a base station that jointly employs Non-Orthogonal Multiple Access (NOMA) and Cell Discontinuous Transmission (Cell DTx) in order to reduce its power consumption and we study the problem of optimal power allocation. We show first that this problem is convex and can be solved using only single variable root finding algorithms. Then, we employ numerical simulations in order to assess the performance of the proposed power allocation.

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Section: Problem Formulation and Resolutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Power Allocation for Minimizing the Energy Consumption of a NOMA Base Station with Cell DTx

Bonnefoi

Farès

Belis

et al. 2019

2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)

Self Cite

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“…[13][14][15] For multicarrier transmission, the problem of power allocation becomes more interesting, where different subcarriers undergo independent fading and water-filling-based techniques have been proposed to provide the optimal/near optimal solutions. 16 The power loading can be adopted to achieve various objectives, eg, energy minimization, 17 sum rate maximization, 18 and multiuser fairness. 19 Power optimization in NOMA systems is necessary to exploit the potential benefits for future 5G systems and is a nontrivial problem.…”

Section: Introductionmentioning

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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“…The problem of power control associated with Cell DTx in a mono-cell scenario has also been studied in the Frequency Division Multiple Access (FDMA) case in the literature. A sub-optimal power control was proposed in [18] and the issue of optimal power and resource allocation in FDMA was recently studied in [19], [20]. In all these articles, only one base station has been considered, whereas, in this paper, we study the problem of power control associated with Cell DTx in small-cell networks.…”

Section: Introductionmentioning

confidence: 99%

Power Control and Cell Discontinuous Transmission Used As a Means of Decreasing Small-Cell Networks’ Energy Consumption

Bonnefoi

Moy

Palicot

2018

IEEE Trans. on Green Commun. Netw.

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Abstract-In this article, we analyze the issues of power control and Cell Discontinuous Transmission (Cell DTx) in a small-cell network. More precisely, we evaluate the performance of a policy, thanks to which each base station minimizes its own energy consumption. We have recently proposed this policy in a monocell scenario and we extend the scope of our previous work in this article, as we propose to use this policy in a multi-cell network. For that purpose, we first consider a network made of two base stations, in which we can compute the minimum network's energy consumption, which enables to provide users with the requested quality of service. If we compare the proposed policy with this minimum, we can demonstrate that the proposed policy has a good performance, which, however, can be improved by reducing the maximum transmit power of the base station. Then, we apply our algorithm in the case of a dense network, in which the proposed policy outperforms other policies and provides a 6% gain in energy, where compared to a policy featuring no power control. We show that the reduction of the maximum transmit power can increase this gain up to 11% of the network's energy consumption.

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Power allocation for minimizing energy consumption of OFDMA downlink with Cell DTx

Cited by 8 publications

References 15 publications

Optimal Power Allocation for Minimizing the Energy Consumption of a NOMA Base Station with Cell DTx

Optimal Power Allocation for Minimizing the Energy Consumption of a NOMA Base Station with Cell DTx

On fair power optimization in nonorthogonal multiple access multiuser networks

Power Control and Cell Discontinuous Transmission Used As a Means of Decreasing Small-Cell Networks’ Energy Consumption

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