Abstract
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.
| Original language | English |
|---|---|
| Article number | 8718092 |
| Pages (from-to) | 125-135 |
| Number of pages | 11 |
| Journal | Journal of Communications and Networks |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 Apr 1 |
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Keywords
- 3D beamforming
- blockage effect
- coverage probability
- energy efficiency
- heterogeneous network (HetNet)
- mmWave network
- stochastic geometry
- tilt angle optimization
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
Cite this
Energy efficiency maximization in mmWave wireless networks with 3D beamforming. / Baianifar, Mahdi; Razavizadeh, S. Mohammad; Akhlaghpasand, Hossein; Lee, Inkyu.
In: Journal of Communications and Networks, Vol. 21, No. 2, 8718092, 01.04.2019, p. 125-135.Research output: Contribution to journal › Article
}
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
PY - 2019/4/1
Y1 - 2019/4/1
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
UR - http://www.scopus.com/inward/citedby.url?scp=85065984765&partnerID=8YFLogxK
U2 - 10.1109/JCN.2019.000011
DO - 10.1109/JCN.2019.000011
M3 - Article
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 -