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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NOMA-Based Energy-Efficiency Optimization for UAV Enabled Space-Air-Ground Integrated Relay Networks
TL;DR: In this article , an unmanned aerial vehicle (UAV)-enabled space-air-ground integrated relay system, in which UAV is equipped with phased-array antennas to receive satellite's signal while utilizing non-orthogonal multiple access (NOMA) schemes to transmit data to land-based users, is proposed.
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Power and Resource Allocation in Wireless Communication Network
TL;DR: Different algorithms and techniques such as power-efficient resource allocation algorithm, real-time scheduling algorithm, NOMA, SCMA, Device-to-Device (D2D) communication, OFDMA, power and resource distribution in 5G, wireless sensor networks (WSNs), smart grids, cloud computing, and fog computing are discussed.
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Resource Allocation for Throughput versus Fairness Trade-Offs under User Data Rate Fairness in NOMA Systems in 5G Networks
TL;DR: This work presents a resource allocation scheme for managing trade-offs between total throughput maximisation and system fairness in a non-orthogonal multiple access (NOMA) system for 5G networks and applies integer linear programming for user pairing and particle swarm optimisation for reducing resource allocation complexity.
Posted Content
Non-Orthogonal Multiple Access with Wireless Caching for 5G-Enabled Vehicular Networks.
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TL;DR: A cache-aided NOMA architecture is presented, which can address some of the aforementioned challenges in 5G-enabled vehicular networks and it is demonstrated that the spectral efficiency gain of the proposed architecture, which depends largely on the cached contents, significantly outperforms that of conventional Vehicular networks.
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Energy-Efficient Design for IRS-Empowered Uplink MIMO-NOMA Systems
TL;DR: This paper applies IRS to facilitate the communication of an uplink multiple-input multiple-output non-orthogonal multiple access system to maximize the system energy-efficiency and verifies the rapid convergence of the iterative optimization scheme and the effectiveness of the user ordering.
References
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TL;DR: This paper comprehensively surveys the recent progress of NOMA in 5G systems, reviewing the state-of-the-art capacity analysis, power allocation strategies, user fairness, and user-pairing schemes in NomA.
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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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