Resource allocation NOMA for downlink systems: Genetic algorithm approach

Ömer Faruk Gemici; Fatih Kara; Ibrahim Hokelek; Güneş Karabulut Kurt; Hakan Ali Cırpan

doi:10.1109/TSP.2017.8075948

Resource allocation NOMA for downlink systems: Genetic algorithm approach

Ömer Faruk Gemici, Fatih Kara, Ibrahim Hokelek, Güneş Karabulut Kurt, Hakan Ali Cırpan

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

Non-orthogonal multiple access (NOMA) is one of the key technologies for 5G, where the system capacity can be increased by allowing simultaneous transmission of multiple users at the same radio resource. In this paper, we propose a genetic algorithm (GA) based multi-user radio resource allocation scheme for NOMA downlink systems. In our set-up, GA is used to determine the user groups to simultaneously transmit their signals at the same time and frequency resource while the optimal transmission power level is assigned to each user to maximize the geometric mean of user throughputs. The simulation results show that the GA based approach is a powerful heuristic to quickly converge to the target solution which balances the tradeoff between total system throughput and fairness among users.

Original language	English
Title of host publication	2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017
Editors	Norbert Herencsar
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	114-118
Number of pages	5
ISBN (Electronic)	9781509039821
DOIs	https://doi.org/10.1109/TSP.2017.8075948
Publication status	Published - 19 Oct 2017
Event	40th International Conference on Telecommunications and Signal Processing, TSP 2017 - Barcelona, Spain Duration: 5 Jul 2017 → 7 Jul 2017

Publication series

Name	2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017
Volume	2017-January

Conference

Conference	40th International Conference on Telecommunications and Signal Processing, TSP 2017
Country/Territory	Spain
City	Barcelona
Period	5/07/17 → 7/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

5G
Genetic Algorithm
NOMA

Access to Document

10.1109/TSP.2017.8075948

Cite this

Gemici, Ö. F., Kara, F., Hokelek, I., Kurt, G. K., & Cırpan, H. A. (2017). Resource allocation NOMA for downlink systems: Genetic algorithm approach. In N. Herencsar (Ed.), 2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017 (pp. 114-118). (2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TSP.2017.8075948

Gemici, Ömer Faruk ; Kara, Fatih ; Hokelek, Ibrahim et al. / Resource allocation NOMA for downlink systems : Genetic algorithm approach. 2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017. editor / Norbert Herencsar. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 114-118 (2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017).

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abstract = "Non-orthogonal multiple access (NOMA) is one of the key technologies for 5G, where the system capacity can be increased by allowing simultaneous transmission of multiple users at the same radio resource. In this paper, we propose a genetic algorithm (GA) based multi-user radio resource allocation scheme for NOMA downlink systems. In our set-up, GA is used to determine the user groups to simultaneously transmit their signals at the same time and frequency resource while the optimal transmission power level is assigned to each user to maximize the geometric mean of user throughputs. The simulation results show that the GA based approach is a powerful heuristic to quickly converge to the target solution which balances the tradeoff between total system throughput and fairness among users.",

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Gemici, ÖF, Kara, F, Hokelek, I, Kurt, GK & Cırpan, HA 2017, Resource allocation NOMA for downlink systems: Genetic algorithm approach. in N Herencsar (ed.), 2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017. 2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 114-118, 40th International Conference on Telecommunications and Signal Processing, TSP 2017, Barcelona, Spain, 5/07/17. https://doi.org/10.1109/TSP.2017.8075948

Resource allocation NOMA for downlink systems: Genetic algorithm approach. / Gemici, Ömer Faruk; Kara, Fatih; Hokelek, Ibrahim et al.
2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017. ed. / Norbert Herencsar. Institute of Electrical and Electronics Engineers Inc., 2017. p. 114-118 (2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gemici ÖF, Kara F, Hokelek I, Kurt GK, Cırpan HA. Resource allocation NOMA for downlink systems: Genetic algorithm approach. In Herencsar N, editor, 2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 114-118. (2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017). doi: 10.1109/TSP.2017.8075948

Resource allocation NOMA for downlink systems: Genetic algorithm approach

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Keywords

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