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Efficient resource allocation with dynamic traffic arrivals on D2D communication for beyond 5G networks

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Abstract

Device-to-Device (D2D) communication is an emerging technology for beyond fifth-generation (B5G) networks to support significant features, such as spectrum efficiency, high data rate, and reduced power consumption. Efficient spectrum allocation and optimum power control in D2D networks is one of the major issues that arise due to dynamic traffic arrivals. This article proposes a novel approach to maximize the spectral efficiency of the D2D network. The formulated problem is a mixed-integer nonlinear programming problem (MINLP). However, due to its complexity, the global optimal solution is difficult to solve directly. A two-stage optimization algorithm is presented: optimal resource allocation algorithm (ORAA) by utilizing the concept of queue dynamics and optimal power control algorithm by adapting the Lyapunov stability method. The proposed method achieves higher spectral efficiency up to 21.6% and latency is minimized up to 39.89% over the benchmark schemes. The proposed method shall find immense use in smart traffic management to support Intelligent transportation systems.

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Authors and Affiliations

  1. Wireless Sensor Networks Lab, Department of Electronics & Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 500008, India

    Biroju Papachary & Rajeev Arya

  2. Department of Electronics and Communication Engineering, CMR Engineering College, Kandlakoya, Hyderabad, Telangana, 501401, India

    Bhasker Dappuri

Authors
  1. Biroju Papachary
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  2. Rajeev Arya
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Contributions

The authors confirm their contribution to the paper as follows: Draft manuscript preparation and Methodology: BP; Supervision and conceptualization: RA; Formal analysis and validation: BD. All authors read and approved the final version of the manuscript.

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Correspondence to Rajeev Arya.

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Papachary, B., Arya, R. & Dappuri, B. Efficient resource allocation with dynamic traffic arrivals on D2D communication for beyond 5G networks. Cluster Comput 27, 2829–2843 (2024). https://doi.org/10.1007/s10586-023-04122-7

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