Open AccessEnergy efficient user association and resource allocation in active array aided HetNets
Author(s) -
Li Qing,
Yang Qinghai,
Qin Meng,
Kwak KyungSup
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0755
Subject(s) - computer science , fractional programming , resource allocation , efficient energy use , quality of service , computer network , heterogeneous network , multicast , spectral efficiency , mathematical optimization , wireless , distributed computing , iterative method , wireless network , algorithm , telecommunications , nonlinear programming , engineering , mathematics , channel (broadcasting) , physics , quantum mechanics , nonlinear system , electrical engineering
To enable sustainable wireless networks, though new technologies have been proposed to improve the system spectrum efficiency, the energy efficiency (EE) is also of vital importance due to the increasing users and devices. Active array system (AAS) and heterogeneous networks (HetNets) have been reckoned as an enormous enhancement in spectrum efficiency and EE. In this study, the energy efficient user association and resource allocation problem for preference‐aware multicast service in AAS aided HetNets is investigated, formulated as a mixed‐integer non‐linear fractional programming. By generalised fractional programming theory and Lagrangian dual decomposition, an iterative algorithm is devised to determine user association and resource allocation. Further, an efficient solution is proposed to perform quality of service‐guaranteed user association and resource allocation to maximise the EE. Simulation results demonstrate the convergence performance and potential gain of the proposed algorithms in terms of EE.