TY - JOUR
T1 - Energy efficiency maximization in mmWave wireless networks with 3D beamforming
AU - Baianifar, Mahdi
AU - Razavizadeh, S. Mohammad
AU - Akhlaghpasand, Hossein
AU - Lee, Inkyu
N1 - Funding Information:
Manuscript received October 26, 2018; This paper is specially handled by EICs with the help of three anonymous reviewers in a fast manner. This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning (MSIP), Korean Government, under Grant 2017R1A2B3012316. M. Baianifar, S. M. Razavizadeh and H. Akhlaghpasand are with the School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran, email: mahdi_baianifar@elec.iust.ac.ir, smrazavi@iust.ac.ir, h_akhlaghpasand@elec.iust.ac.ir. I. Lee is with the School of Electrical Engineering, Korea University, Seoul, Korea, email: inkyu@korea.ac.kr. S. M. Razavizadeh and I. Lee are corresponding authors. Digital Object Identifier: 10.1109/JCN.2019.000011
Publisher Copyright:
© 2011 KICS.
PY - 2019/4
Y1 - 2019/4
N2 - In this paper, we address the problem of 3D beamforming (3DBF) in millimeter wave (mmWave) wireless networks. In particular, we study the impact of base station (BS) antenna tilt angle optimization on the energy efficiency (EE) of mmWave networks under two different scenarios: A homogeneous network consisting of multiple macro base stations (MBSs), and a heterogeneous network where several femto base stations are added within the coverage areas of the MBSs. First, by adopting a stochastic geometry approach, we analyze the coverage probability of both scenarios that incorporate 3DBF. Then, we derive the EE of the networks as a function of the MBS antenna tilt angle. Next, optimization problems are formulated to maximize the EE of the networks by optimizing the tilt angle. Since the computational complexity of the optimal solution is very high, near-optimal low-complexity methods are proposed for solving the optimization problems. Simulation results show that in the mmWave networks, the 3DBF technique with optimized tilt angle can considerably improve the EE of the network. Also, the proposed low complexity approach presents a performance close to the optimal solution but with a significant reduced complexity.
AB - In this paper, we address the problem of 3D beamforming (3DBF) in millimeter wave (mmWave) wireless networks. In particular, we study the impact of base station (BS) antenna tilt angle optimization on the energy efficiency (EE) of mmWave networks under two different scenarios: A homogeneous network consisting of multiple macro base stations (MBSs), and a heterogeneous network where several femto base stations are added within the coverage areas of the MBSs. First, by adopting a stochastic geometry approach, we analyze the coverage probability of both scenarios that incorporate 3DBF. Then, we derive the EE of the networks as a function of the MBS antenna tilt angle. Next, optimization problems are formulated to maximize the EE of the networks by optimizing the tilt angle. Since the computational complexity of the optimal solution is very high, near-optimal low-complexity methods are proposed for solving the optimization problems. Simulation results show that in the mmWave networks, the 3DBF technique with optimized tilt angle can considerably improve the EE of the network. Also, the proposed low complexity approach presents a performance close to the optimal solution but with a significant reduced complexity.
KW - 3D beamforming
KW - blockage effect
KW - coverage probability
KW - energy efficiency
KW - heterogeneous network (HetNet)
KW - mmWave network
KW - stochastic geometry
KW - tilt angle optimization
UR - http://www.scopus.com/inward/record.url?scp=85065984765&partnerID=8YFLogxK
U2 - 10.1109/JCN.2019.000011
DO - 10.1109/JCN.2019.000011
M3 - Article
AN - SCOPUS:85065984765
VL - 21
SP - 125
EP - 135
JO - Journal of Communications and Networks
JF - Journal of Communications and Networks
SN - 1229-2370
IS - 2
M1 - 8718092
ER -
