Joint User Association and Power Allocation Using Swarm Intelligence Algorithms in Non-Orthogonal Multiple Access Networks
Goudos SK, Diamantoulakis PD, Boursianis AD, Papanikolaou VK, Karagiannidis GK (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020
Event location: Bremen, DEU
ISBN: 9781728166872
DOI: 10.1109/MOCAST49295.2020.9200248
Abstract
In this paper, we address the problem of joint user association and power allocation for non-orthogonal multiple access (NOMA) networks with multiple base stations (BSS). A user grouping procedure into orthogonal clusters, as well as an allocation of different physical resource blocks (PRBs) is considered. The problem of interest is mathematically described using the maximization of the weighted sum rate. We apply two different swarm intelligence algorithms, namely, the recently introduced Grey Wolf Optimizer (GWO), and the popular Particle Swarm Optimization (PSO), in order to solve this problem. Numerical results demonstrate that the above-described problem can be satisfactorily addressed by both algorithms.
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APA:
Goudos, S.K., Diamantoulakis, P.D., Boursianis, A.D., Papanikolaou, V.K., & Karagiannidis, G.K. (2020). Joint User Association and Power Allocation Using Swarm Intelligence Algorithms in Non-Orthogonal Multiple Access Networks. In 2020 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020. Bremen, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Goudos, Sotirios K., et al. "Joint User Association and Power Allocation Using Swarm Intelligence Algorithms in Non-Orthogonal Multiple Access Networks." Proceedings of the 9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020, Bremen, DEU Institute of Electrical and Electronics Engineers Inc., 2020.
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