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Paper
Title

Dynamic Resource Allocation through Reinforcement Learning Approach in Multi-cell OFDMA Networks

Year: 1386
COI: ICIKT03_036
Language: EnglishView: 1,748
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Authors

Sajjad Moradi - Computer Engineering & IT Dept. Amirkabir University of Technology Tehran, Iran
Hesam Montazeri - Computer Engineering & IT Dept. Amirkabir University of Technology Tehran, Iran
Siavash Khorsandi - Computer Engineering & IT Dept. Amirkabir University of Technology Tehran, Iran

Abstract:

In this paper, we present a distributed resource allocation algorithm for cellular OFDMA networks by adopting a Reinforcement Learning (RL) approach. We use an RL method which employ Growing Self Organizing Maps to deal with the huge and continuous problem space. The goal of the algorithm is to maximize the network throughput in a fair manner. Indeed, the algorithm maximizes the throughput until fairness violation does not exceed an adjustable threshold. Simulation results illustrates that the fairness definition leads to enormous extra throughput achievement relative to the fair algorithm.

Paper COI Code

This Paper COI Code is ICIKT03_036. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/49870/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Moradi, Sajjad and Montazeri, Hesam and Khorsandi, Siavash,1386,Dynamic Resource Allocation through Reinforcement Learning Approach in Multi-cell OFDMA Networks,03rd International Conference on Information and Knowledge Technology,Mashhad,https://civilica.com/doc/49870

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The specifications of the publisher center of this Paper are as follows:
Type of center: دانشگاه دولتی
Paper count: 22,602
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COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

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