Efficient power allocation in downlink multi‐cell multi‐user NOMA networks

Khan, Wali Ullah; Yu, Zhiyuan; Yu, Shanshan; Sidhu, Guftaar Ahmad Sardar; Liu, Ju

doi:10.1049/iet-com.2018.5251

Cited by 62 publications

(37 citation statements)

References 37 publications

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“…For the sake of simplicity, FEC3 is discussed. Figure 8 shows two methods of finding the power ratio; our proposed method (green color) and one of the conventional methods for NOMA (brown color) [1,2,4,[6][7][8][9][10]28] compared to the corresponding optimum method (blue color). Compared with the optimal results, the proposed method seems in good agreement.…”

Section: Resultsmentioning

confidence: 99%

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Efficient power allocation method for non orthogonal multiple access 5G systems

Al-Adwany¹

2020

IJECE

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One of the hot research topics for the upcoming 5G (fifth-generation) wireless communication networks is the non orthogonal multiple access (NOMA) systems, where it have attracted both industrial and academic fields to improve the existing spectral efficiency. In fact, the multiuser detection process for NOMA systems is largely affected by the power distribution of the received signals. In this paper, a new method has been proposed to control the transmit power among active users in one of the promising NOMA systems; the interleave division multiple access (IDMA) which has been adopted here for consideration. Unlike conventional methods, where tedious mathematical computations are required; a simple and direct method has been derived. The proposed method has been applied to IDMA system with different FEC codes. The obtained results show that the proposed method outperforms the conventional one as compared to optimal results.

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Section: Resultsmentioning

confidence: 99%

“…That is so called the 'power allocation problem'. Recently, researchers spare no effort to solve the power allocation problem in NOMA system [1,2,[6][7][8][9], while early researches on power allocation problem were equally important that can be found elsewhere [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Efficient power allocation method for non orthogonal multiple access 5G systems

Al-Adwany¹

2020

IJECE

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“…The authors in [35] investigated the power allocation problem using a Stackelberg game approach by adopting a distributed power allocation algorithm to achieve the Stackelberg equilibrium. In [36], the Karush-Kuhn-Tucker (KKT) conditions for multi-cell multi-user based NOMA system was proposed under BS power and user's transmission rate constraints for efficient power allocation. However, these works did not tackle the issue of userpairing.…”

Section: A Related Workmentioning

confidence: 99%

Fair Energy-Efficient Resource Allocation for Downlink NOMA Heterogeneous Networks

et al. 2020

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The increasing in energy consumptions of the current wireless networks, leads towards designing energy-efficient 5G networks. The application of non-orthogonal multiple access (NOMA) in the heterogeneous networks (HetNets) improves the spectrum utilization with the cost of efficient resource allocation. Hence, this paper proposes optimal user-pairing and power allocation solutions towards achieving fair energy-efficient resource allocation in downlink femtocell NOMA-HetNets. In the proposed optimization process, the considered constraints are the user's transmission rate, transmit power budget at the base station (BS), and the interference. The energy consumption of both the transmitter and the receiver are considered to simulate the real system design. The Greedy Algorithm (GA) is used to achieve a low-complex optimal solution during the user-pairing process. Simultaneously, the max-min energy efficiency optimization approach is employed to maximize the minimum energy efficiency of the femtocell users to achieve the optimal power allocation solution. The mathematical formulation of the max-min energy efficiency is a nonconvex fractional programming problem and is intractable. Thus, the fractional programming theory is adopted to transform the problem into a sequence of subtractive form, followed by the Sequential Convex Programming (SCP) approach to determine the optimal solution. Simulation results show that the proposed NOMA with optimal power allocation method using SCP and GA (NOMA-SCP-GA) achieves fair energy efficiency performance with lower complexity compared to the benchmark methods. Moreover, the minimum energy efficiency of the femtocell user is 38.22% higher than NOMA with Difference of Convex programming (NOMA-DC). The NOMA-SCP-GA method can assure 5G capability demands.

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“…In addition, resource optimization techniques for NOMA in multi-cell communications networks have also been investigated [3,[21][22][23][24][25][26]. In Reference [21], a KKT-based efficient power management technique was presented by Khan et al to enhance the sum capacity of multi-cell multi-user NOMA network. In similar study, a KKT-based closed form solution for power optimization was provided by Yang et al in multi-cell network to minimize the total system power and maximize the system sum capacity [22].…”

Section: Related Workmentioning

confidence: 99%

Efficient Resource Management for Sum Capacity Maximization in 5G NOMA Systems

Ali

Baig

Awan

et al. 2019

ASI

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The modern cellular technologies are expected to provide high data rates and massive connectivity in fifth generation (5G) systems; however, this may be impossible through traditional radio access techniques. Recently, non-orthogonal multiple access (NOMA) has emerged as one of the promising cellular techniques for modern cellular communications with its ability to provide access for multiple users to the network over the same system resources. This paper studies resource management problem for downlink transmission of multiuser NOMA system. Our objective is to optimize both frequency and power resources for sum capacity maximization while taking into account each user minimum capacity requirement. Firstly, the problem of resource management decouples into two subproblems, that is, efficient sub-channel assignment and optimal power allocation, respectively. Secondly, for given power at base station, we design two sub-optimal algorithms for sub-channel assignment based on user channel condition and user minimum capacity requirement, respectively. Lastly, for any given sub-channel assignment, the problem first transforms into standard convex optimization problem and then we employ duality theory. To evaluate our proposed NOMA scheme, the enhanced version of existing NOMA optimization scheme is also presented as a benchmark. Results demonstrate that the proposed NOMA resource management scheme outperforms the benchmark NOMA optimization scheme in terms of sum capacity.

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Efficient power allocation in downlink multi‐cell multi‐user NOMA networks

Cited by 62 publications

References 37 publications

Efficient power allocation method for non orthogonal multiple access 5G systems

Efficient power allocation method for non orthogonal multiple access 5G systems

Fair Energy-Efficient Resource Allocation for Downlink NOMA Heterogeneous Networks

Efficient Resource Management for Sum Capacity Maximization in 5G NOMA Systems

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