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Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited

Edgar A Esquivel-Mendiola1, Hiram Galeana-Zapién1, David H Covarrubias2

  • 1Centro de Investigación y de Estudios Avanzados del I.P.N. (Cinvestav), Unidad Tamaulipas, Ciudad Victoria 87130, Mexico.

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Summary
This summary is machine-generated.

This study introduces a distributed algorithm for base station assignment to maximize system throughput for human-type and machine-type communication devices. The novel price-based approach enhances network efficiency in distributed architectures.

Keywords:
IoTbase station assignmentdistributed algorithmresource allocation

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Area of Science:

  • Telecommunications Engineering
  • Network Optimization
  • Distributed Systems

Background:

  • The evolution towards 4G and beyond necessitates distributed control for network edge operations.
  • Base stations (BS) must independently manage resources for diverse devices (human-type communication - HTC, internet of things - IoT).
  • The base station assignment problem is crucial for Quality of Service (QoS) in heterogeneous networks.

Purpose of the Study:

  • To address the base station assignment problem for optimizing system throughput.
  • To develop a distributed algorithm for efficient resource management at the network edge.
  • To improve upon existing methods for mobile device to base station allocation.

Main Methods:

  • Formulation of the base station assignment as an optimization problem maximizing system throughput under resource constraints.
  • Reformulation of the problem using dual decomposition theory.
  • Proposal of a distributed, price-based base station assignment algorithm with a novel pricing update scheme.

Main Results:

  • The proposed distributed algorithm effectively assigns base stations to mobile devices.
  • The price-based approach demonstrates superior system throughput compared to traditional methods.
  • The algorithm ensures efficient resource utilization for both HTC and IoT devices.

Conclusions:

  • The developed distributed price-based algorithm offers a viable solution for the base station assignment problem.
  • This approach significantly enhances system throughput in distributed network architectures.
  • The findings support the adoption of distributed decision-making for future communication standards.