TY - GEN
T1 - Efficient User Equipment Distribution in DUDe 5G Network using Linear Assignment Algorithms
AU - Tsachrelias, Konstantinos
AU - Katsigiannis, Chrysostomos Athanasios
AU - Kokkinos, Vasileios
AU - Gkamas, Apostolos
AU - Bouras, Christos
AU - Pouyioutas, Philippos
N1 - Publisher Copyright:
© 2024 IEEE Computer Society. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In the context of 5G networks, efficient resource allocation plays a crucial role in meeting the diverse and demanding requirements of modern applications. This paper presents a novel approach for optimizing User Equipment (UE) distribution in Downlink/Uplink Decoupling (DUDe) 5G networks through the application of Linear Assignment Algorithms (LAAs). The proposed multi-objective framework intelligently allocates UEs to DUDe Base Stations, aiming to maximize network performance, achieve load balancing, enhance Signal-to-Noise Ratio (SNR), and optimize energy efficiency. The findings hold significant implications for network operators, facilitating the advancement of 5G infrastructures to meet the ever-increasing demand for seamless and high-quality connectivity.
AB - In the context of 5G networks, efficient resource allocation plays a crucial role in meeting the diverse and demanding requirements of modern applications. This paper presents a novel approach for optimizing User Equipment (UE) distribution in Downlink/Uplink Decoupling (DUDe) 5G networks through the application of Linear Assignment Algorithms (LAAs). The proposed multi-objective framework intelligently allocates UEs to DUDe Base Stations, aiming to maximize network performance, achieve load balancing, enhance Signal-to-Noise Ratio (SNR), and optimize energy efficiency. The findings hold significant implications for network operators, facilitating the advancement of 5G infrastructures to meet the ever-increasing demand for seamless and high-quality connectivity.
KW - 5G Networks
KW - Downlink/Uplink Decoupling (DUDe)
KW - Heterogeneous Networks (HetNets)
KW - Hungarian algorithm
KW - Minimum cost flow algorithm
KW - Resource Allocation
UR - https://www.scopus.com/pages/publications/105013678851
M3 - Conference contribution
AN - SCOPUS:105013678851
T3 - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
SP - 60
EP - 65
BT - ICUMT 2024 - 16th International Congress on Ultra Modern Telecommunications and Control Systems
PB - IEEE Computer Society
T2 - 16th International Congress on Ultra Modern Telecommunications and Control Systems, ICUMT 2024
Y2 - 26 November 2024 through 28 November 2024
ER -
