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Markov Chain based Packet Scheduling in Wireless Heterogeneous Networks

  • Received : 2022.03.05
  • Published : 2022.03.30

Abstract

Supporting real-time flows with delay and throughput constraints is an important challenge for future wireless networks. In this paper, we develop an optimal scheduling scheme to optimally choose the packets to transmit. The optimal transmission strategy is based on an observable Markov decision process. The novelty of the work focuses on a priority-based probabilistic packet scheduling strategy for efficient packet transmission. This helps in providing guaranteed services to real time traffic in Heterogeneous Wireless Networks. The proposed scheduling mechanism is able to optimize the desired performance. The proposed scheduler improves the overall end-to-end delay, decreases the packet loss ratio, and reduces blocking probability even in the case of congested network.

Keywords

Acknowledgement

The authors gratefully acknowledge the approval and support of this research study by the grant no.7672-SAT-2018-3-9-F from the Deanship of Scientific Research at Northern Border University, Arar, K.S.A.

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