TY - JOUR
T1 - Joint Power and Bandwidth Allocation for Energy-Efficient Heterogeneous Cellular Networks
AU - Jiang, Yuhan
AU - Zou, Yulong
AU - Guo, Haiyan
AU - Tsiftsis, Theodoros A.
AU - Bhatnagar, Manav R.
AU - De Lamare, Rodrigo C.
AU - Yao, Yu Dong
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - This paper investigates the problem of energy efficiency maximization (EEM) for the small cells that coexist with a macro cell in an underlay heterogeneous cellular network, where a macro base station and a number of small base stations transmit signals to a macro user and small users through their shared spectrum. We propose a joint power and bandwidth allocation (JPBA) scheme for the sake of maximizing the energy efficiency (EE) of small cells under the constraint of a guaranteed quality-of-service requirement for the macro cell. Considering that our formulated EEM-based JPBA (EEM-JPBA) problem is non-convex, we convert the original fractional problem into an equivalent subtractive form by adopting the Dinkelbach's method, which is addressed through the augmented Lagrange multiplier approach. Moreover, a new two-tier iterative algorithm is presented to obtain the optimal solution of our EEM-JPBA scheme. Simulation results demonstrate that the proposed two-tier iterative algorithm can quickly converge to the optimal EE solution. In addition, it is shown that the proposed EEM-JPBA scheme significantly outperforms the conventional power and bandwidth allocation methods in terms of their EE performance.
AB - This paper investigates the problem of energy efficiency maximization (EEM) for the small cells that coexist with a macro cell in an underlay heterogeneous cellular network, where a macro base station and a number of small base stations transmit signals to a macro user and small users through their shared spectrum. We propose a joint power and bandwidth allocation (JPBA) scheme for the sake of maximizing the energy efficiency (EE) of small cells under the constraint of a guaranteed quality-of-service requirement for the macro cell. Considering that our formulated EEM-based JPBA (EEM-JPBA) problem is non-convex, we convert the original fractional problem into an equivalent subtractive form by adopting the Dinkelbach's method, which is addressed through the augmented Lagrange multiplier approach. Moreover, a new two-tier iterative algorithm is presented to obtain the optimal solution of our EEM-JPBA scheme. Simulation results demonstrate that the proposed two-tier iterative algorithm can quickly converge to the optimal EE solution. In addition, it is shown that the proposed EEM-JPBA scheme significantly outperforms the conventional power and bandwidth allocation methods in terms of their EE performance.
KW - Energy efficiency
KW - green communications
KW - heterogeneous cellular networks
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85076611923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076611923&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2019.2921022
DO - 10.1109/TCOMM.2019.2921022
M3 - Article
AN - SCOPUS:85076611923
SN - 0090-6778
VL - 67
SP - 6168
EP - 6178
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 9
M1 - 8731908
ER -