Joint Resource Allocation for Adaptive Fuzzy Logic Based Coordinated Multi-Cell NOMA Systems

Zeng, Haiyong, Zhu, Xu, Jiang, Yufei and Wei, Zhongxiang (2019) Joint Resource Allocation for Adaptive Fuzzy Logic Based Coordinated Multi-Cell NOMA Systems. In: ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019-5-20 - 2019-5-24.

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Official URL: http://dx.doi.org/10.1109/icc.2019.8761902

Abstract

We investigate a downlink multi-cell non-orthogonal multiple access (NOMA) system with coordinated base stations (BSs) and propose a joint resource allocation (RA) scheme alongside adaptive user association to green the system. To the best of our knowledge, this is the first work to investigate joint allocation of subchannels and power for coordinated NOMA systems, while the previous work on RA for coordinated orthogonal multiple access (OMA) systems is not applicable. A serving channel gain based joint RA (SCG-JRA) algorithm is proposed, based on the theoretical proof that the total transmission power is mono-decreasing with respect to the SCGs of non-coordinated users. As for user association, an adaptive fuzzy logic (FL) based multi-criterion approach is proposed to achieve higher robustness against the combined effect of shadowing, fading and inter-cell interference, compared to the previous single-criterion based approaches. Numerical results show that the proposed SCG-JRA with adaptive FL based user association significantly outperforms the previous RA schemes assisted by single-criterion user association, in terms of energy efficiency (EE) and total transmission power, enabling a greener system.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	4613 Theory Of Computation, 46 Information and Computing Sciences, 4006 Communications Engineering, 40 Engineering, 7 Affordable and Clean Energy
Depositing User:	Symplectic Admin
Date Deposited:	27 Aug 2019 10:28
Last Modified:	22 Jun 2024 10:44
DOI:	10.1109/icc.2019.8761902
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3052572