TY - GEN
T1 - Green Dual Connectivity Selection Algorithm in 5G-NR/4G-LTE NSA HetNet
AU - Syukri, Nur Anisya Anis Binti
AU - Thiagarajah, Siva Priya
AU - Dwijaksara, Made Harta
AU - Alias, Mohamad Yusoff
AU - Lee, It Ee
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Dual connectivity (DC) can increase network capacity by allowing a user to simultaneously connect to more than one Radio Access Technology (RAT) at the same time. Although it offers higher network capacity, power management is a constraint in DC enabled heterogeneous networks (HetNet). This work aims to find the best trade-off between network capacity and power efficiency in DC deployed Fifth Generation New Radio (5G-NR) and Long Term Evolution (LTE) HetNet. Past works have not conducted a simultaneous optimization of power saving and capacity enhancement for DC in a Non Standalone(NSA) setup. A novel base station pairing technique is used to determine Next Generation Node B (gNB) sleep patterns. Two algorithms, the Super Greedy algorithm and the Integer Linear Programming (ILP)-Greedy algorithm are proposed to find the optimal way to preserve network power and enhance the user throughput. The ILP-Greedy uses ILP optimization for power minimizing through cell sleeping and a greedy algorithm for user association. Based on comparison with past baseline works, the ILP-Greedy algorithm is found to be superior for DC implementation in a 4G/5G NSA HetNet, saving 7.02 % of network power and still providing comparable network capacity improvement.
AB - Dual connectivity (DC) can increase network capacity by allowing a user to simultaneously connect to more than one Radio Access Technology (RAT) at the same time. Although it offers higher network capacity, power management is a constraint in DC enabled heterogeneous networks (HetNet). This work aims to find the best trade-off between network capacity and power efficiency in DC deployed Fifth Generation New Radio (5G-NR) and Long Term Evolution (LTE) HetNet. Past works have not conducted a simultaneous optimization of power saving and capacity enhancement for DC in a Non Standalone(NSA) setup. A novel base station pairing technique is used to determine Next Generation Node B (gNB) sleep patterns. Two algorithms, the Super Greedy algorithm and the Integer Linear Programming (ILP)-Greedy algorithm are proposed to find the optimal way to preserve network power and enhance the user throughput. The ILP-Greedy uses ILP optimization for power minimizing through cell sleeping and a greedy algorithm for user association. Based on comparison with past baseline works, the ILP-Greedy algorithm is found to be superior for DC implementation in a 4G/5G NSA HetNet, saving 7.02 % of network power and still providing comparable network capacity improvement.
KW - BS switching On/Off
KW - Dual Connectivity
KW - greedy optimization
KW - green network
KW - Integer Linear Programming optimization
UR - http://www.scopus.com/inward/record.url?scp=85212241015&partnerID=8YFLogxK
U2 - 10.1109/ISTT63363.2024.10750639
DO - 10.1109/ISTT63363.2024.10750639
M3 - Conference contribution
AN - SCOPUS:85212241015
T3 - 2024 IEEE 7th International Symposium on Telecommunication Technologies: Exploring Future Frontiers in Telecommunication and Vehicular Technologies, ISTT 2024
SP - 150
EP - 155
BT - 2024 IEEE 7th International Symposium on Telecommunication Technologies
A2 - Abdul Latiff, Nurul Mu�azzah
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Symposium on Telecommunication Technologies, ISTT 2024
Y2 - 21 October 2024 through 22 October 2024
ER -
