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User-Cell Association for Security and Energy Efficiency in Ultra-Dense Heterogeneous Networks.

Dania Marabissi1, Lorenzo Mucchi1, Simone Morosi1

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This study introduces a new method for optimizing mobile networks, balancing secure data transmission and energy efficiency in ultra-dense networks (UDN). The approach aims to maximize secure throughput while minimizing energy consumption for future wireless connections.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Digital services demand is rapidly increasing, requiring mobile networks to support diverse requirements like high speed and low latency.
  • Ultra-dense networks (UDN), integrating various cell sizes (femto to macro), are crucial for pervasive wireless connectivity.
  • User-base station association is a key research area in UDN, focusing on criteria like power consumption and throughput.

Purpose of the Study:

  • To propose a novel utility for optimizing security and energy consumption in UDN.
  • To jointly select base stations and associate users to maximize secure throughput while minimizing energy usage.
  • To develop a heuristic for near-optimal performance with reduced complexity.

Main Methods:

  • Development of a new utility function for joint base station selection and user association.
  • Implementation of a heuristic algorithm to approximate optimal solutions.
  • Performance evaluation through comparison with benchmark approaches.

Main Results:

  • The proposed utility effectively optimizes the trade-off between security and energy consumption in UDN.
  • The heuristic method achieves performance close to the optimal solution with significantly lower computational complexity.
  • Demonstrated improvement in maximizing secure throughput and minimizing energy expenditure.

Conclusions:

  • The developed utility and heuristic offer a practical solution for enhancing future mobile network performance.
  • The approach addresses critical requirements for next-generation wireless networks, focusing on security and energy efficiency.
  • This work provides a valuable contribution to the field of ultra-dense networks and resource management.