| Autor: |
Goutham, Nittu, Mishra, Pavan Kumar |
| Předmět: |
|
| Zdroj: |
IETE Journal of Research; Apr2024, Vol. 70 Issue 4, p3347-3357, 11p |
| Abstrakt: |
Device-to-Device (D2D) communication with Cloud Radio Access Networks (CRAN) has emerged as a promising technology to fulfil the objective of 5th-Generation networks with constrained bandwidth. The CRAN system reduces capital and operation expenditure and improves network throughput. In D2D-CRAN resource allocation, the D2D users reuse the resource block of the cellular user (CU), which tends to interfere; therefore, it breaks down the system's data rate. Interference mitigation is one of the biggest challenges in the D2D-CRAN communication system. The mitigation techniques are used for interference, and a resource allocation scheme based on a Quantum-Inspired Genetic algorithm (QGA) is proposed. This resource allocation scheme combines both the quantum computing mechanism and genetic algorithm for the allocation of a resource block to cellular and D2D users. Initially, we figure out the low complexity allocation scheme based on the calculated D2D throughput. Furthermore, QGA is employed in the population matrix to find the best approach to allocate CU's resources to several D2D users. The simulation output illustrates that the suggested scheme outperforms existing methods. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
