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Cross Layer QoS Aware Scheduling based on Loss-Based Proportional Fairness with Multihop CRN

K. Saravanan1,*, G. M. Tamilselvan2, A. Rajendran3

1 Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India
2 Department of IT, Sri Krishna College of Technology, Coimbatore, India
3 Department of ECE, Karpagam College of Engineering, Coimbatore, India

* Corresponding Author: K. Saravanan. Email: email

Computer Systems Science and Engineering 2022, 42(3), 1063-1077.


As huge users are involved, there is a difficulty in spectrum allocation and scheduling in Cognitive Radio Networks (CRNs). Collision increases when there is no allocation of spectrum and these results in huge drop rate and network performance degradation. To solve these problems and allocate appropriate spectrum, a novel method is introduced termed as Quality of Service (QoS) Improvement Proper Scheduling (QIPS). The major contribution of the work is to design a new cross layer QoS Aware Scheduling based on Loss-based Proportional Fairness with Multihop (QoSAS-LBPFM). In Medium Access Control (MAC) multi-channel network environment mobile nodes practice concurrent broadcast between several channels. Acquiring the advantage of introduced cross layer design, the real-time channel conditions offered by Cognitive Radio (CR) function allows adaptive sub channel choice for every broadcast. To optimize the resources of network, the LBPFM adaptively plans the radio resources for allocating to diverse services without lessening the quality of service. Results obtained from simulation proved that QoSAS-LBPFM provides enhanced QoS guaranteed performance against other existing QIPS algorithm.


Cite This Article

K. Saravanan, G. M. Tamilselvan and A. Rajendran, "Cross layer qos aware scheduling based on loss-based proportional fairness with multihop crn," Computer Systems Science and Engineering, vol. 42, no.3, pp. 1063–1077, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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