Improving OFDM Maximum Transmission Rate Uplink Based on the Cognitive One-Way Af-Relay Networks via Genetic Algorithm

Authors

  • Ghufran Mahdi Hatem Al-Furat Al-Awsat Technical University

DOI:

https://doi.org/10.47604/ijts.3305

Keywords:

Cognitive Relay Network, OFDM Technique, Genetic Algorithm, Subcarrier Pairing, Power Allocation, Relay Selection

Abstract

In wireless communication systems the demand for spectrum resources are increasing rapidly due to increasing spectrum utilization that causes scarceness of the spectrum frequency bands, the Cognitive Radio Network is considered the best solution for this problem, and its cooperated network if it merges with Relay technology. The resource allocation for an OFDM (orthogonal frequency-division multiplexing) with N subcarrier-based-cognitive AF (amplify and forward) for relay network and relay selection is proposed in this paper, the Objective Function is to Maximization the sum transmission rate over the sub-carriers of the secondary user under the Interference constraints from the secondary users (SUs) to the primary users (PUs) and the power constraints for both (the secondary users and relays). The subcarrier allocation and power allocation for the secondary network with relay selection were solved by using a Genetic algorithm.

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References

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Published

2025-04-22

How to Cite

Hatem, G. M. (2025). Improving OFDM Maximum Transmission Rate Uplink Based on the Cognitive One-Way Af-Relay Networks via Genetic Algorithm. International Journal of Technology and Systems, 10(2), 63–72. https://doi.org/10.47604/ijts.3305

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Articles