Paper Info
Title
Interference Alignment for Partially Connected Downlink MIMO Heterogeneous Networks
Abstract
In this paper, we propose interference alignment (IA) schemes for downlink multiple-input-multiple-output heterogeneous networks (HetNets) with partial connectivity, which is induced by the path loss and the low transmission power of small cells. Specifically, we consider two partially connected scenarios of HetNets. In the first scenario, we focus on the partial connectivity among small cells, whereas in the second scenario, we further consider the partial connectivity between the macrocell and small cells. For the first scenario, we first propose a two-stage IA scheme by exploiting the heterogeneity and partial connectivity of HetNets. Then, the influence of the number of served macro users on system degrees of freedom (DoFs) is investigated. In particular, we derive the condition under which serving one macro user achieves more DoFs than serving multiple macro users and design an algorithm to find the optimal number of served macro users to maximize the system DoFs. Afterward, we study the second scenario and extend the two-stage IA to this scenario. The simulation results show that the proposed IA schemes can significantly improve the system sum rate. Moreover, by considering the partial connectivity between the macro cell and small cells, the system performance can be further improved.
Year
DOI
Venue
2015
10.1109/TCOMM.2015.2388450
IEEE Transactions on Communications
Keywords
Field
DocType
Interference,Antennas,Decoding,MIMO,Equations,Transmitters,Receivers
Multi-user MIMO,3G MIMO,Computer science,MIMO,Electronic engineering,Path loss,Heterogeneous network,Macro,Macrocell,Telecommunications link
Journal
Volume
Issue
ISSN
63
2
0090-6778
Citations 
PageRank 
References 
14
0.58
27
Authors
6
Name
Order
Citations
PageRank
Guoqing Liu1413.59
Min Sheng2907111.63
Xijun Wang3393.50
Wanguo Jiao4313.06
Ying Li5322.78
Jiandong Li61377178.18