@article {10.3844/jcssp.2023.786.795,
article_type = {journal},
title = {Cross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless Networks},
author = {Arunachalam, Manikandan and Babu, Naresh Kumar and Perumal, Anandan and Ganeshbabu, Ramprasad Ohnu and Balasubramanian, Jai Ganesh},
volume = {19},
number = {6},
year = {2023},
month = {May},
pages = {786-795},
doi = {10.3844/jcssp.2023.786.795},
url = {https://thescipub.com/abstract/jcssp.2023.786.795},
abstract = {Resource management and Quality of Service (QoS) are seen as key concerns for many applications in 5G networks since they support millions of linked devices. When sharing information over error-prone wireless networks, these resource management strategies are necessary to fulfill multimedia applications with a minimum throughput guarantee, low error probability, and high tolerated delay. One of the most complex traffic management strategies that provide fair QoS for channel users is queuing. According to queuing research, Adaptive Modulation and Coding (AMC) functions well when the buffer does not overflow. The typical AMC must be revised together with the queuing process when there is an overflow to lower the Packet Error Rate (PER) and Packet Dropping Probability (PDP) and to reach a higher level of reliability. This article proposed a cross-layer strategy that combines the novel queuing model dynamic Markov Modulated Poisson Process (dMMPP) with AMC at the physical layer to ensure the QoS to the admitted uses in the channel. Simulation results prove that the cross-layer design combined with queuing offers better throughput and optimized delay over a channel during the call.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}