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
Energy-Efficient Power Allocation for NOMA With Imperfect CSI
TL;DR: Simulation results show that in terms of EE, for users with low rate requirement and with CSIT error, NOMA has a better performance compared with conventional orthogonal multiple access (OMA).
Journal ArticleDOI
DRL-Based Energy-Efficient Resource Allocation Frameworks for Uplink NOMA Systems
TL;DR: Three deep-reinforcement-learning (DRL)-based frameworks are proposed to solve the joint subchannel assignment and power allocation problem in an uplink multiuser NOMA system to maximize the energy efficiency (EE) and reduce the computation time.
Journal ArticleDOI
On the Outage of Underlay CR-NOMA Networks With Detect-and-Forward Relaying
Sultangali Arzykulov,Galymzhan Nauryzbayev,Theodoros A. Tsiftsis,Behrouz Maham,Mohamed Abdallah +4 more
TL;DR: An underlay cognitive radio (CR)-NOMA relaying network, where a secondary source communicates with NOMA secondary destination users (SDUs) by a means of a detect-and-forward secondary relay under imperfect channel state information conditions, is studied.
Journal ArticleDOI
Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
Haitham Al-Obiedollah,Kanapathippillai Cumanan,Jeyarajan Thiyagalingam,Alister G. Burr,Zhiguo Ding,Octavia A. Dobre +5 more
TL;DR: In this article, the authors investigated the design of an energy efficient beamforming technique for downlink transmission in the context of a multiuser MISO-NOMA system, and formulated the beamforming design as a global energy efficiency maximization problem with minimum user rate requirements and transmit power constraints.
Journal ArticleDOI
Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO with NOMA
TL;DR: Numerical results show that the proposed NOMA schemes achieve superior EE when compared with the conventional orthogonal multiple access scheme.
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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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