Energy Efficient Resource Management in SWIPT Enabled Heterogeneous Networks With NOMA

Non-orthogonal multiple access (NOMA) in heterogeneous network (HetNet) is a very promising scheme to meet the exponential growth of mobile data expected in the coming years. However, since wireless networks are becoming denser, the energy consumption of such networks is increasingly severe. Therefo...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on wireless communications 2020-02, Vol.19 (2), p.835-845
Main Authors: Zhang, Haijun, Feng, Mengting, Long, Keping, Karagiannidis, George K., Leung, Victor C. M., Poor, H. Vincent
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Decoupling
Energy consumption
Energy conversion efficiency
Energy efficiency
Energy harvesting
HetNets
Interference
NOMA
Nonorthogonal multiple access
Optimization
Power control
Power efficiency
Power transfer
resource allocation
Resource management
Wireless networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Non-orthogonal multiple access (NOMA) in heterogeneous network (HetNet) is a very promising scheme to meet the exponential growth of mobile data expected in the coming years. However, since wireless networks are becoming denser, the energy consumption of such networks is increasingly severe. Therefore, it is necessary to design novel energy efficiency (EE) maximization technologies under the constraint of limited energy supply. This paper investigates the resource optimization problem of NOMA heterogeneous small cell networks with simultaneous wireless information and power transfer (SWIPT). By decoupling subchannel allocation and power control, a low-complexity subchannel matching algorithm is designed. Furthermore, to maximize the energy efficiency, a power optimization algorithm is proposed using Langrangian duality. Aiming at the power allocation problem, the original non-convex and non-linear energy efficiency optimization problem is transformed into a more tractable one. Simulation results demonstrate the effectiveness and convergence of the proposed optimization scheme in terms of system energy efficiency.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2948874