Sub-channel Assignment, Power Allocation and User Scheduling for Non-Orthogonal Multiple Access Networks
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Abstract (arXiv)
In this paper, we study the resource allocation and user scheduling problem for a downlink nonorthogonal multiple access network where the base station allocates spectrum and power resources to a set of users. We aim to jointly optimize the sub-channel assignment and power allocation to maximize the weighted total sum-rate while taking into account user fairness. We formulate the sub-channel allocation problem as equivalent to a many-to-many two-sided user-subchannel matching game in which the set of users and sub-channels are considered as two sets of players pursuing their own interests. We then propose a matching algorithm which converges to a two-side exchange stable matching after a limited number of iterations. A joint solution is thus provided to solve the sub-channel assignment and power allocation problems iteratively. Simulation results show that the proposed algorithm greatly outperforms the orthogonal multiple access scheme and a previous non-orthogonal multiple access scheme.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Aug 2016.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2021Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approachcited by 5
- 2021Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networkscited by 4
- 2026Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Datacited by 0
- 2026Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Data28 Aug 2026
- 2021Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach29 Mar 2021
- 2021Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks26 Mar 2021