Multicell Sleeping Control and Transmit Power Adaptation in Green Heterogeneous Networks
Journal
IEEE GLOBECOM 2017
Pages
2577-2578
Date Issued
2017
Author(s)
Abstract
The introduction of small cells has displayed its energy-saving potentials in heterogeneous networks (HetNets) for the low operational and transmit power consumptions. To cope with the severity of inter-cell interference induced by the deployed small cells, existing research has been investigating base station (BS) sleeping incorporated with coordinated multipoint (CoMP) transmissions for the greenness of HetNets. Unfortunately, the fundamentals of multicell sleeping control and transmit power adaptation (MST) in green HetNets are in essence an NP-hard problem, which motivates us to find approximate solutions with provable performance guarantees. In this paper, we formulate the MST problem as a mixed integer linear program (MILP) and show its NP-hardness. By applying linear programming (LP) relaxation to the MST problem, we propose the progressive sleeping control with LP-based transmit power adaptation (PSLA) algorithm. We further prove that the achieved total power consumption can be upper-bounded, and show that the tightness of the upper bounds hinges on the factors of user satisfiability and network heterogeneity. Finally, the simulation results demonstrate the energy-saving performance of our proposed solution, as well as the impacts of the number of users and small cells in the network. © 2017 IEEE.
SDGs
Other Subjects
Cells; Computational complexity; Electric power utilization; Energy conservation; Heterogeneous networks; Integer programming; Sleep research; Coordinated multi point (CoMP); Energy saving potential; Heterogeneous network (HetNets); Linear programming relaxation; Mixed integer linear program; Performance guarantees; Total power consumption; Transmit power adaptations; Power control
Type
conference paper