Optimization of the Deployment of Relay Nodes in Cellular Networks
| Autor: | Heba M. Abdel-Atty, Korany R. Mahmoud, Rana M. Mokhtar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
General Computer Science Computer science 050801 communication & media studies 02 engineering and technology particle swarm optimization and gravitational search algorithm (PSOGSA) cell edge law.invention 0508 media and communications Relay law 0202 electrical engineering electronic engineering information engineering General Materials Science Bat algorithm relay nodes Cost efficiency A simplified adaptive bat algorithm based on frequency (FSABA) 05 social sciences General Engineering Particle swarm optimization 020206 networking & telecommunications Cellular network Enhanced Data Rates for GSM Evolution lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 5G Communication channel |
| Zdroj: | IEEE Access, Vol 8, Pp 136605-136616 (2020) |
| ISSN: | 2169-3536 |
| Popis: | Significant and continuous contributions related to 4G/5G cellular networks are still accelerating the investigation of the approaches that can boost the cell characteristics following the new aspirations of the users. The challenge of achieving sufficient coverage at the cell edge; represents a constant concern for both users and operators; in addition to ensuring a reasonable cost, are the most important search fields and in our scope of interest. As relay nodes can provide a solution, a scenario for a plan of relay nodes deployment at the cell edge is proposed, taking into account the interference due to the relay nodes. Since optimization algorithms are effective in terms of planning, an advanced hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) is applied to the proposed scenario to detect the optimum solution. The optimum solution represents the optimum plan that attains the best coverage with the minimum cost. We submit cost analysis depends on three trails of construction cost, power and channel cost efficiency. To highlight that the optimal plan has been revealed, another recently developed optimization algorithm, a simplified adaptive bat algorithm based on frequency (FSABA) and a classic particle swarm optimization (PSO) algorithm are also applied to the suggested scenario. The obtained results are compared with the related findings of the PSOGSA. From the simulations, it is found that the PSOGSA achieves better performance than the other two algorithms with fruitful and promising results, and the optimal plan featuring great coverage at the cell edge and cost-saving is attained. |
| Databáze: | OpenAIRE |
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