TY - JOUR
T1 - On Minimizing Energy Consumption in FiWi Enhanced LTE-A HetNets
AU - Guo, Hongzhi
AU - Liu, Jiajia
AU - Fadlullah, Zubair Md
AU - Kato, Nei
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - As an integration of optical fiber networks and LTE-A heterogeneous networks (HetNets), fiber-wireless (FiWi) enhanced LTE-A HetNets will play a key role in supporting large-scale mobile data transmission. To improve the energy efficiency of the networks, we should put as much equipment into sleep state, and thus few user equipment (UE) can access Internet. In contrast, to maximize the UE connection all equipment should be in active state, which results in very high energy consumption. Obviously, there is a tradeoff between energy consumption minimization and UE connection maximization. However, existing works mostly focused on designing energy saving schemes for access networks but little can be found taking UE connection constraints into account. Toward this end, we provide this paper to explore the problem of minimizing energy consumption with UE connection constraints, where a constrained optimization problem is formulated and three solutions are presented, i.e., a brute force algorithm, a heuristic greedy algorithm, and a snowball rolling algorithm. Numerical results reveal that the heuristic greedy and snowball rolling algorithms have much higher computational efficiency than the brute force method, and can also achieve near-optimal solutions for the problem of minimizing energy consumption with UE connection constraints in FiWi enhanced LTE-A HetNets.
AB - As an integration of optical fiber networks and LTE-A heterogeneous networks (HetNets), fiber-wireless (FiWi) enhanced LTE-A HetNets will play a key role in supporting large-scale mobile data transmission. To improve the energy efficiency of the networks, we should put as much equipment into sleep state, and thus few user equipment (UE) can access Internet. In contrast, to maximize the UE connection all equipment should be in active state, which results in very high energy consumption. Obviously, there is a tradeoff between energy consumption minimization and UE connection maximization. However, existing works mostly focused on designing energy saving schemes for access networks but little can be found taking UE connection constraints into account. Toward this end, we provide this paper to explore the problem of minimizing energy consumption with UE connection constraints, where a constrained optimization problem is formulated and three solutions are presented, i.e., a brute force algorithm, a heuristic greedy algorithm, and a snowball rolling algorithm. Numerical results reveal that the heuristic greedy and snowball rolling algorithms have much higher computational efficiency than the brute force method, and can also achieve near-optimal solutions for the problem of minimizing energy consumption with UE connection constraints in FiWi enhanced LTE-A HetNets.
KW - energy consumption
KW - FiWi
KW - FiWi enhanced LTE-A HetNet
KW - heterogeneous network
KW - HetNet
KW - Hybrid fiber-wireless network
KW - LTE-A
KW - UE connection
UR - http://www.scopus.com/inward/record.url?scp=85046445035&partnerID=8YFLogxK
U2 - 10.1109/TETC.2016.2598478
DO - 10.1109/TETC.2016.2598478
M3 - 文章
AN - SCOPUS:85046445035
SN - 2168-6750
VL - 6
SP - 579
EP - 591
JO - IEEE Transactions on Emerging Topics in Computing
JF - IEEE Transactions on Emerging Topics in Computing
IS - 4
M1 - 7534737
ER -