Throughput of a wireless cell using superposition based multiple-access with optimized scheduling

Schaepperle, Joerg

doi:10.1109/pimrc.2010.5671661

Cited by 32 publications

(28 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the performance of the subband based NOMA declines due to the fact that having only two users multiplexed per subband means that as the number of users increases, less RBs will be available to allocate for each subband which in turn affects the users' achievable rate. Similar trend is also obtained for the case of OFDMA under the same optimization problem setup and constraints as that formulated for NOMA in (6) to (9), this is because as the number of users increases, more competition occurs among the available resources because each user attempts to acquire as many RBs as it can to maintain the minimum rate requirements. C. Hybrid Multiple Access Against NOMA System…”

Section: B Multi-user Scenariosupporting

confidence: 68%

“…APPENDIX A Taking into account the objective function in (3) and using the Lagrangian dual decomposition approach in [35] to solve the formulated problem in (6) to (9), the Lagrangian function of the optimization problem could be expressed as …”

Section: Discussionmentioning

confidence: 99%

“…In addition, the minimum rate proportional fairness constraint (9) is to control the achievable throughput by all users where Φ (1) min and Φ (2) min are the minimum rate requirements for user 1 and user 2, respectively. Constraint (9) helps to maintain proportionality between the minimum achievable rates of the users. In other words, the proportionality is guaranteed for the minimum achievable rates, but the rate obtained in the solution is not restricted to this ratio, as long as the minimum rates for all users are satisfied.…”

Section: Problem Formulation and Solution For Two-user Scenariomentioning

confidence: 99%

“…However if the total transmission power for each pair is known, the optimization problem in (6)- (9) can be used to determine the optimal power allocation for the strong and weak user in each pair. Since there is now other pairs for each RB, the interference will affect the optimal solution.…”

Section: But With the Superscript (H) As (L)mentioning

confidence: 99%

“…NOMA has been presented in the literature as a mean to enhance the spectral efficiency for future networks and also confirmed to be superior to OFDMA. For instance, [6]- [9] presented a comparison between orthogonal and nonorthogonal multiple access techniques. In addition, the authors in [10] presented how NOMA could enhance the cell-edge user throughput while achieving fairness.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Al-Abbasi

2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Abstract-Non-orthogonal multiple access (NOMA) has attracted a lot of attention recently due to its superior spectral efficiency and could play a vital role in improving the capacity of future networks. In this paper, a resource allocation scheme is developed for a downlink multi-user NOMA system. An optimization problem is formulated to maximize the sum rate under the total power and proportional rate constraints. Due to the complexity of computing the optimal solution, we develop a low complexity sub-optimal solution for two-user scenario and then extend it to the multi-user case by proposing a user-pairing approach as well as a number of power allocation techniques that facilitate dealing with a large number of users in NOMA system. Simulation results support the effectiveness of the proposed approaches and show the close performance to the optimal one. In addition, we propose a new hybrid multiple access technique that combines the properties of NOMA and the orthogonal frequency division multiple access (OFDMA). Simulation results show that the proposed hybrid method provides better performance than NOMA in terms of the overall achievable sum rate and the coverage probability.

show abstract

Section: B Multi-user Scenariosupporting

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Problem Formulation and Solution For Two-user Scenariomentioning

confidence: 99%

Section: But With the Superscript (H) As (L)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Al-Abbasi

2017

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

Performance study of non-orthogonal multiple access (NOMA) with triangular successive interference cancellation

Hacı

2017

Wireless Netw

View full text Add to dashboard Cite

New Optimal and Suboptimal Resource Allocation Techniques for Downlink Non-orthogonal Multiple Access

Hojeij

Farah

Nour

et al. 2015

Wireless Pers Commun

View full text Add to dashboard Cite

This paper investigates several new strategies for the allocation of radio resources (bandwidth and transmission power) using a non-orthogonal multiple access (NOMA) scheme with successive interference cancellation (SIC) in a cellular downlink system. In non-orthogonal access with SIC, the same subband is allocated to multiple users, which requires elaborate multiuser scheduling and subband assignment techniques, compared to orthogonal multiplexing. While taking into account various design issues, we propose and compare several optimum and suboptimum power allocation schemes. These are jointly implemented with multiple user scheduling strategies. Besides, a minimization of the total amount of used bandwidth is targeted. Also, to increase the total achieved system throughput, a hybrid orthogonal-non orthogonal scheme is introduced. This hybrid scheme enables a dynamic switching to orthogonal signaling whenever the non-orthogonal cohabitation in the power domain does not improve the achieved data rate per subband. Extensive simulation results show that the proposed strategies for resource allocation can improve both the spectral efficiency and the cell-edge user throughput, especially when compared to previous schemes employing either orthogonal signaling or NOMA with static

show abstract

Throughput of a wireless cell using superposition based multiple-access with optimized scheduling

Cited by 32 publications

References 11 publications

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Performance study of non-orthogonal multiple access (NOMA) with triangular successive interference cancellation

New Optimal and Suboptimal Resource Allocation Techniques for Downlink Non-orthogonal Multiple Access

Contact Info

Product

Resources

About