Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
By S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre, K. Kwak. IEEE wireless communications, 2017
330 citations recorded by the source corpus.
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.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/62736e5f6fe367381687588029d5a3fd05ff0803
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In Electrical and Electronic Engineering
- Mohamed-Slim Alouini
- Halim Yanikomeroglu
- Saad Al-Ahmadi
- Aditya S. Rajasekaran
- Sadiq M. Sait
- Omar Maraqa
- Rui Zhang
- Merouane Debbah
Citations in the corpus
- A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, methodology): “This design variable (or parameter) is often optimized in such schemes along with the power allocation (PA) coefficients assigned to each user in the cluster, e.g., [38], [146].”
- A Survey of NOMA: Current Status and Open Research Challenges (2019, methodology): “There are a number of survey papers on NOMA [35], [36], [37], [38], [39] in which the performance of powerdomain NOMA [35], [36], [37], [38], cognitive radio inspired”