TY - GEN
T1 - On the Optimization of User Allocation in Heterogeneous 5G Networks Using DUDe Techniques
AU - Tsachrelias, Konstantinos
AU - Gkamas, Apostolos
AU - Katsigiannis, Chrysostomos Athanasios
AU - Bouras, Christos
AU - Kokkinos, Vasileios
AU - Pouyioutas, Philippos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In previous years, 3G and 4G cellular homogeneous networks configured with macro Base Stations (BSs) relied only on the downlink signal, even though transmission power and interference levels differ significantly between uplink and downlink. In 5G Heterogeneous Networks (HetNet), a new generation which have multiple BSs of different types such as Femto BS and Macro BS, there is the possibility of choosing to receive the data from one BS and transmit them to a different BS, and therefore decoupling the uplink and downlink. Especially, the increasing demand for faster, more reliable, and efficient connectivity has made the optimization of User Equipment (UE) allocation in 5G networks a crucial task. To tackle the challenges posed by heterogeneous 5G networks, this study compares and evaluates the performance of Downlink/Uplink Decoupling (DUDe) and traditional Downlink/Uplink Coupled (DUCo) user allocation approaches. Simulation results show that DUDe UE allocation outperforms DUCo by providing improved network performance and more efficient utilization of network resources in diverse network conditions. These findings have important implications for the design and optimization of 5G networks and provide valuable insights for researchers and practitioners in the field.
AB - In previous years, 3G and 4G cellular homogeneous networks configured with macro Base Stations (BSs) relied only on the downlink signal, even though transmission power and interference levels differ significantly between uplink and downlink. In 5G Heterogeneous Networks (HetNet), a new generation which have multiple BSs of different types such as Femto BS and Macro BS, there is the possibility of choosing to receive the data from one BS and transmit them to a different BS, and therefore decoupling the uplink and downlink. Especially, the increasing demand for faster, more reliable, and efficient connectivity has made the optimization of User Equipment (UE) allocation in 5G networks a crucial task. To tackle the challenges posed by heterogeneous 5G networks, this study compares and evaluates the performance of Downlink/Uplink Decoupling (DUDe) and traditional Downlink/Uplink Coupled (DUCo) user allocation approaches. Simulation results show that DUDe UE allocation outperforms DUCo by providing improved network performance and more efficient utilization of network resources in diverse network conditions. These findings have important implications for the design and optimization of 5G networks and provide valuable insights for researchers and practitioners in the field.
KW - Downlink/Uplink Decoupling (DUDe)
KW - Heterogeneous Networks
KW - Resource Allocation
KW - Users Allocation
UR - http://www.scopus.com/inward/record.url?scp=85169291526&partnerID=8YFLogxK
U2 - 10.1109/ICUFN57995.2023.10200995
DO - 10.1109/ICUFN57995.2023.10200995
M3 - Conference contribution
AN - SCOPUS:85169291526
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 521
EP - 526
BT - ICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 14th International Conference on Ubiquitous and Future Networks, ICUFN 2023
Y2 - 4 July 2023 through 7 July 2023
ER -