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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 6, 2018.
Abstract: In Device to Device (D2D) communication two or more devices communicate directly with each other in the in-band cellular network. It enhances the spectral efficiency due to cellular radio resources (RR) are shared among the cellular users and D2D users. If the RR sharing is not legitimate properly, it causes interference and inefficient use. Therefore, management of RR between cellular users and D2D users is required to control the interference and inefficient use of RR. In D2D enabled cellular network, D2D users have a good signal to noise ratio (SNR) compared with cellular users due to the short distances and dedicated path. Using this advantage, an efficient RR allocation algorithm based on swarm optimization is proposed in this paper, that allows utmost spatial reuse in multi-users and OFDMA networks. The algorithm determines the required RR on the request of D2D users following the indicator variable. It enhances the capacity (Bit/Hz), overall system throughput and spectral efficiency with respect to sub-carriers in OFDMA networks. The performance of the proposed algorithm is evaluated via MATLAB simulations.
O. Hayat, R. Ngah and Siti Z. Mohd Hashim, “Swarm Optimization based Radio Resource Allocation for Dense Devices D2D Communication” International Journal of Advanced Computer Science and Applications(IJACSA), 9(6), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090636
@article{Hayat2018,
title = {Swarm Optimization based Radio Resource Allocation for Dense Devices D2D Communication},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090636},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090636},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {6},
author = {O. Hayat and R. Ngah and Siti Z. Mohd Hashim}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.