Joint Cell Activation and Selection for Green Communications in Ultra-Dense Heterogeneous Networks

The densification of small cells in heterogeneous networks (HetNets) causes huge energy consumption and severe network interference. To fully exploit the potential of new network architecture, the cell selection (CS) in such HetNets should couple with reducing power consumption and network interfere...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.1894-1904
Main Authors: Zhou, Tianqing, Jiang, Nan, Liu, Zunxiong, Li, Chunguo
Format: Article
Language:English
Subjects:
Algorithm design and analysis
cell activation
cell selection
Computer architecture
dense heterogeneous networks
Densification
Energy consumption
Energy conversion efficiency
Energy efficiency
Heterogeneous networks
Interference
Iterative algorithms
Macrocell networks
Microprocessors
Mixed integer
Parameters
Power consumption
ultra-dense
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:The densification of small cells in heterogeneous networks (HetNets) causes huge energy consumption and severe network interference. To fully exploit the potential of new network architecture, the cell selection (CS) in such HetNets should couple with reducing power consumption and network interference. To this end, we jointly perform cell activation and selection (CAS) to maximize the network energy efficiency (EE) under users' long-term rate constraints. The formulated problem is in a mixed-integer fractional form and hard to tackle. We need to transform it into a parametric subtractive form, by which we reach its solution through a three-layer iterative algorithm. The first layer searches an EE parameter using a bisection method; the second layer alternately optimizes CAS indices; the third layer solves CS and cell activation (CA) problems using dual decomposition and fixed point iteration, respectively. At last, we give some complexity and convergence analyses for the designed algorithm, and investigate the impacts of different network parameters on system performance. The simulation results show that the CA introduced in CS is a good option to reduce energy consumption and network interference.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2017.2780818