Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
One of the most powerful technologies in the wireless cellular networks is device to device (D2D) communication as it could be employed to improve the energy efficiency, spectral efficiency, data rate, reduces links latency and also improves the network capacity. Now more than ever, optimizing resource allocation and path selection is becoming more critical due to the growth of consumers or devices. Most of the existing research work mainly focuses on either increasing the throughput by consolidating resource blocks and power assigning method. The enormous growth in the number of consumers increases the requirement of large number of spectrum resources to support various applications. Not only this, it also put massive burden on the base station. Very limited number of analysis covers the option of choosing the best path and resource allocation in multi hop D2D.So in this paper, we tried to compare different path selection and throughput maximization algorithms. For the path selection Q learning algorithm and Dijikstra algorithm is considered. Second stage deals with implementation of PSO and GWO which is applied for finding the throughput. A comparison has been made between the implementation of PSO RPSO and GSA optimization.
Keywords:
D2D communication, Multi hop, Power allocation, Q- learning, GSA, RPSO.
Cite Article:
"Efficient Path Selection And Throughput Maximization In Device To Device communication", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.353 - 360, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306057.pdf
Downloads:
000205096
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator