QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks

Hongxiang SHAO; Youming SUN; Jihao CAI

doi:10.11999/JEIT200032

Volume 43 Issue 4

Apr. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(4): 1129-1136

Hongxiang SHAO, Youming SUN, Jihao CAI. QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1129-1136. doi: 10.11999/JEIT200032

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Hongxiang SHAO, Youming SUN, Jihao CAI. QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1129-1136. doi: 10.11999/JEIT200032

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QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks

doi: 10.11999/JEIT200032

1.
Luoyang Institute of Science and Technology, Luoyang 471023, China
2.
PLA No.61062 Troop, Beijing 100089, China
3.
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China

Funds: The National Natural Science Foundation of China (61901518), The Science and Technology Breakthrough Project of Henan Science and Technology Department (192102210249), The Key Projects of Colleges and Universities in Henan Province (19B510007)

Received Date: 2020-01-09
Rev Recd Date: 2020-06-29

Available Online: 2020-07-22

Publish Date: 2021-04-20

Abstract

Abstract

Resource allocation in Multi-Cell hybrid Non-Orthogonal Multiple Access-orthogonal multiple access (MC-hybrid NOMA) networks is studied in this paper. To satisfy the Quality of Experience (QoE) of different service types of users, an algorithm joint user-BS association, sub-channel assignment and power allocation is proposed to maximize the sum Mean Opinion Scores (MOSs) of users in the networks. A low-complexity two-step approach based on matching game theory and developed power allocation strategy based on QoE proportional fairness are proposed. Simulation results demonstrate that the proposed algorithm can effectively improve the system performance and fairness.
- Hybrid NOMA,
- Quality of Experience (QoE),
- Resource allocation,
- Matching game

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References(17)

References

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