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Clustering and Auction-Based Power Allocation Algorithm for Energy Efficiency Maximization in Multi-Cell Multi-Carrier NOMA Networks

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 21 Nov 2019Publisher:MDPI AGJournal:Applied Sciences, volume 9, page 5,034 (eissn: 2076-3417,

Authors: Abuzar B. M. Adam; Xiaoyu Wan; Zhengqiang Wang;

doi: 10.3390/app9235034

Clustering and Auction-Based Power Allocation Algorithm for Energy Efficiency Maximization in Multi-Cell Multi-Carrier NOMA Networks

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Abstract

In this paper, we investigate the energy efficiency (EE) maximization in multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks. To achieve this goal, an optimization problem is formulated then the solution is divided into two parts. First, we investigate the inter-cell interference mitigation and then we propose an auction-based non-cooperative game for power allocation for base stations. Finally, to guarantee the rate requirements for users, power is allocated fairly to users. The simulation results show that the proposed scheme has the best performance compared with the existing NOMA-based fractional transmit power allocation (FTPA) and the conventional orthogonal frequency division multiple access (OFDMA).

Related Organizations

Chongqing University of Posts and Telecommunications
China (People's Republic of)
Chongqing University of Posts and Telecommunications
China (People's Republic of)

Keywords

Technology, QH301-705.5, T, Physics, QC1-999, non-orthogonal multiple access (NOMA), Engineering (General). Civil engineering (General), Chemistry, non-orthogonal multiple access (noma), auction-based game, TA1-2040, Biology (General), QD1-999, energy efficiency, multi-cell and multi-carrier, clustering

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%