Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
TLDR
In this paper, the authors proposed a divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner.Abstract:
This article presents advances in resource allocation for downlink non-orthogonal multiple access (NOMA) systems, focusing on user pairing and power allocation algorithms. The former pairs the users to obtain high capacity gain by exploiting the channel gain difference between the users, while the latter allocates power to users in each cluster to balance system throughput and user fairness. Additionally, the article introduces the concept of cluster fairness and proposes the divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner. Furthermore, performance comparison between multiple-input multiple-output NOMA (MIMO-NOMA) and MIMO orthogonal multiple access (MIMO-OMA) is conducted when users have pre-defined quality of service. Simulation results are presented, which validate the advantages of NOMA over OMA. Finally, the article provides avenues for further research on resource allocation for downlink NOMA.read more
Citations
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Journal ArticleDOI
ACO-Based Power Allocation for Throughput Maximization in the Downlink 5G NOMA Systems
TL;DR: Ant colony optimization (ACO) is proposed to optimize the transmit power to maximize the overall throughput in the downlink of 5G NOMA systems to demonstrate that the proposed power allocation scheme using ACO performs better in terms of the system throughput.
Journal ArticleDOI
Asymptotic Performance Analysis of NOMA Uplink Networks Under Statistical QoS Delay Constraints
TL;DR: By introducing pairing, it is shown that NOMA with user-pairing outperforms OMA, in terms of total uplink EC, and the best pairing strategies are given in the cases of four and six users NomA, raising once again the importance of power allocation in the optimization of N OMA’s performance.
Proceedings ArticleDOI
Resource Allocation for NOMA based D2D System Using Genetic Algorithm with Continuous Pool
TL;DR: The proposed resource allocation method for NOMA-based D2D communication systems based on a genetic algorithm(GA) approach is a faster and more reasonable way to converge than an exhaustive search method, which requires up to factorial time complexity.
Proceedings ArticleDOI
Securing Massive MIMO-NOMA Networks with ZF Beamforming and Artificial Noise
TL;DR: Results show that the ZF precoder can enhance secrecy performance when compared with maximum ratio transmission precoder and an optimization algorithm is proposed to maximize the sum secrecy rate of the proposed network, while guaranteeing a target secrecy rate at each user equipment.
Journal ArticleDOI
An Optimum Weighted Energy Efficiency Approach for Low Complexity Power Allocation in Downlink NOMA
TL;DR: The proposed WEE-PA algorithm to allocate mutual resources furnishes better results than existing PA schemes and boosts the fairness between users, the minimum user rate in the system, the outage probability, and the average data rate per weak user.
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Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions
TL;DR: Both analytical and numerical results are provided to demonstrate that F-NOMA can offer a larger sum rate than orthogonal MA, and the performance gain of F- NOMA over conventional MA can be further enlarged by selecting users whose channel conditions are more distinctive.
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Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
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