Energy-Efficient Resource Allocation for NOMA Systems

Glei, Naziha; Chibani, Rhaimi Belgacem

doi:10.1109/ssd.2019.8893212

Cited by 4 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To ensure the QoS of each user, the minimum data rate requirements are introduced as 𝑅 𝑢 𝑚𝑖𝑛 =1Mbps. Figure 6 shows the optimal EE of the system versus the maximum available transmit power at the transmitter (𝑝 𝑚𝑎𝑥 ) for the proposed algorithm of this study, the algorithm proposed in [34] for DL-NOMA system (we referred to as NAZ based on the abbreviation of the first author's name of the study), and the algorithm proposed for OFDM system in [35].…”

Section: Simulation and Resultsmentioning

confidence: 99%

Spectral and energy efficiencies maximization in downlink NOMA systems

Keti

Atroshey²,

Hamadamin³

2022

Bulletin EEI

View full text Add to dashboard Cite

Due to the huge connectivity and ever-growing demands of diverse services and high data rate applications, more effective radio access techniques are required for the next generation wireless systems. Non-orthogonal multiple access (NOMA) is a promising candidate which has been recognized as an effective multiple access technique that notably improves the spectral efficiency (SE). In addition to SE, energy efficiency (EE) is also attracting too much interest nowadays due to the limited power of end users (EU) and internet of things (IoT) devices, and the strict environmental concerns related to global carbon dioxide (CO2) emission of communication devices. However, in fact there is a trade-off relationship between SE and EE. In this paper, the SE-EE trade-off relationship in NOMA-based systems is mathematically modeled and analyzed. On the other hand, in order to attain an elastic SE-EE trade-off relationship, the problem is formulated as an optimization problem with an objective of maximizing the EE under the constraint of satisfying a minimum SE demand. Simulation results confirmed the theoretical findings of this study and further asserted the validation of the proposed power allocation scheme which aims to achieve a more flexible trad-off relationship between SE and EE.

show abstract

Section: Simulation and Resultsmentioning

confidence: 99%

Spectral and energy efficiencies maximization in downlink NOMA systems

Keti

Atroshey²,

Hamadamin³

2022

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…7 Besides, sum rate was also adopted as part of the objective function in energy-efficient power optimization problems where energy efficiency is defined as the ratio of sum rate of two users in the single carrier to total power consumption. 8 Moreover, user rate fairness is also an important performance metric that should be considered in the resource allocation optimization in SC-NOMA systems. [9][10][11][12][13] Liu and Petrova 9 optimized proportional fair-based user scheduling by maximizing the geometric mean of user rates in the downlink of SC-NOMA networks.…”

Section: Related Workmentioning

confidence: 99%

“…According to C1 in problem (8), each subcarrier can be used by at most Γ users simultaneously. Thus, p * m,k can be derived by solving (ΓK + 1) equations.…”

Section: Jspaa With Proportional Fairnessmentioning

confidence: 99%

“…As we mentioned in Section 3, problem (8) is easily proved to be convex and its Lagrangian function is…”

Section: Data Availability Statementmentioning

confidence: 99%

“…In downlink SC‐NOMA systems, power allocation among users on the single carrier or RB was optimized to maximize the sum rate of all users in traditional cellular networks, 5 multiple‐input single‐output (MISO) systems, 6 and heterogeneous networks 7 . Besides, sum rate was also adopted as part of the objective function in energy‐efficient power optimization problems where energy efficiency is defined as the ratio of sum rate of two users in the single carrier to total power consumption 8 . Moreover, user rate fairness is also an important performance metric that should be considered in the resource allocation optimization in SC‐NOMA systems 9–13 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint subcarrier and power allocation with proportional fairness in multicarrier nonorthogonal multiple access systems

Ding

2021

Int J Communication

View full text Add to dashboard Cite

Summary In this paper, we investigate joint subcarrier and power allocation in multicarrier nonorthogonal multiple access (MC‐NOMA) systems aims to guarantee rate proportional fairness among all users. To this end, we adopt the sum logarithmic rate function as the objective and formulate a resource optimization problem which is a mixed‐integer nonlinear programming (MINLP) problem. Based on variable relaxation and replacement, we convert this problem into a convex optimization problem. On this basis, the expressions of joint subcarrier and power allocation solutions are obtained by using convex optimization theory and the Karush–Kuhn–Tucker (KKT) condition. However, power and subcarrier allocation solutions are highly coupled, and it is difficult to derive both solutions simultaneously. Fortunately, when the subcarrier allocation strategy is given, the optimal power allocation solution can be derived by solving the equations. Furthermore, we develop an iterative resource allocation algorithm to implement joint subcarrier and power allocation among users. Numerical results reveal that the proposed algorithm is effective in general multiuser and multicarrier scenarios, and a substantial performance improvement can be achieved by the proposed algorithm in contrast with the traditional orthogonal multiple access (OMA) schemes. In specific, the proposed algorithm achieves 63% and 59% gains in terms of utility and fairness performance, respectively.

show abstract

Improving the Resource Efficiency in Massive MIMO-NOMA Systems

Rosa,

Abrão

2023

J Netw Syst Manage

View full text Add to dashboard Cite

Energy-Efficient Resource Allocation for NOMA Systems

Cited by 4 publications

References 12 publications

Spectral and energy efficiencies maximization in downlink NOMA systems

Spectral and energy efficiencies maximization in downlink NOMA systems

Joint subcarrier and power allocation with proportional fairness in multicarrier nonorthogonal multiple access systems

Improving the Resource Efficiency in Massive MIMO-NOMA Systems

Contact Info

Product

Resources

About