Network Selection in B5G Heterogeneous Networks Using AHP-TOPSIS | Zendy

Albert Dos Santos | Zendy; Matheus Pantoja | Zendy; Erminio Paixao | Zendy; Reyso Teixeira | Zendy; Marcos Seruffo | Zendy; Diego Cardoso | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Network Selection in B5G Heterogeneous Networks Using AHP-TOPSIS

Author(s) -

Albert Dos Santos,

Matheus Pantoja,

Erminio Paixao,

Reyso Teixeira,

Marcos Seruffo,

Diego Cardoso

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3597791

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The implementation of ultra-dense heterogeneous networks (HetNets) has become crucial to meet the increasing demands of 5G and beyond networks. These networks face complex challenges due to the proliferation of mobile devices, network overlay, and high mobility. In this context, it is essential to identify the most suitable network for a given user, taking into consideration the user’s specific requirements. This article proposes a multi-criteria method for dynamic and personalized network selection in the context of different technologies, highlighting the difficulty involved in deciding which access technology the user should connect to. The proposed model showed better performance for high QoS (Quality of Service) profiles and low energy consumption, and it facilitated a more efficient distribution of network resources considering the network load criterion. A comparison with another current method in the literature highlighted the efficiency of the proposed model in achieving improvements for all user profiles considered.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research