Open AccessUE‐centric clustering and resource allocation for practical two‐tier heterogeneous cellular networks
Author(s) -
Oguejiofor Obinna S.,
Zhang Li X.,
Nawaz Naveed
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.2018.5422
Subject(s) - heterogeneous network , computer science , resource allocation , cellular network , quality of service , base station , interference (communication) , cluster analysis , user equipment , computer network , optimization problem , resource management (computing) , distributed computing , wireless network , wireless , telecommunications , algorithm , artificial intelligence , channel (broadcasting)
The heterogeneous cellular network (HetNet) has emerged as a promising technology for the fifth generation mobile networks that can be used to meet high demand of data rate and better quality of service (QoS) performance. However, the performance of HetNet will depend on how scarce resources such as frequency, time, power and spatial resource are shared among user equipments (UEs) in the system and also how interference is controlled. In this work, we utilise UE‐Centric clustering as a tool to effectively determine the interfering base stations (BSs) that cause significant interference to each UE in the network. These interfering BSs together with the serving BSs of these interfered UEs will coordinate and make resource allocation (RA) decisions together to allocate spatial directions to each UE in the network in order to manage interference in the network. We formulate the RA problem as maximizing the weighted sum‐rate of the HetNet while fulfilling power, QoS and interference constraints. This optimization problem is non‐convex. We readily split the RA problem into two sub‐problems: the spatial direction allocation problem and the power allocation problem, respectively. We are able to solve these problems efficiently using SeDumi. Simulation results of our proposed method, show significant improvement.