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VehA & PedA mobility based scheduling in future communication networks

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The primary means of communication is quickly evolving to be wireless communications. However, when compared to wired links, their properties render traffic susceptible to time and location-dependent signal attenuation, noise, fading, and interference, resulting in time variable channel capacity and link error rate. Scheduling algorithms are critical in wireless connections for ensuring quality of service (QoS) metrics such as throughput, latency, jitter, fairness, and packet loss rate. The scheduler is critical in current and future cellular communications because it assigns resource blocks (RB) to different users for transmission. The scheduling algorithm decides based on the link state, number of sessions, reserved rates, and the status of the session queues. The information required by a scheduler implemented in the base station can be easily gathered from the downlink stream. It evaluates the performance of four well-known scheduling methods, including round robin (RR), best channel quality indicator (BCQI), proportional fair (PF), and fractional frequency reuse (FFR), for dynamic use Pedestrian (PedA) and Vehicular (VehA). The performance of these four algorithms is measured in terms of throughput, fairness index, spectral efficiency, and overall effectiveness. System-level simulations were carried out utilizing a MATLAB-based LTE-A Vienna simulator.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 14/08/2023

Publication status

Published - 14/08/2023

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: IEEE Vehicular Technology Conference
    ISSN (Print): 1550-2252
    Volume: 2023-June

ISBN (Print)

9798350311143

ISBN (Electronic)

9798350311143

External Publication IDs

  • handle.net: 10547/626153
  • Scopus: 85169787392

Host publication title

2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings

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