Paper Info
Title
Interference Alignment With Adaptive Power Allocation in Full-Duplex-Enabled Small Cell Networks
Abstract
We consider the interference alignment (IA) in small cell networks with full-duplex (FD) self-backhauling equipped on each small base station. First, by leveraging the optimization theory and formulating the IA conditions as a 0–1 integer linear programming (ILP) problem, we establish that the optimal solution of the formulated ILP problem is exactly equivalent to that of its associated relaxed linear programming one, then proposing an efficient approach to judge the IA feasibility, even in FD-based small cell networks with more interference signals. Then, given perfect interference elimination, an adaptive power allocation (PA) problem is formulated, followed by an iterative algorithm leveraging first-order approximations, with its convergence assured. Finally, simulations are conducted to reveal the effectiveness of the proposed algorithms, showing that the sum rate of FD-enabled networks can benefit from not only the introduction of FD self-backhauling but also the execution of adaptive PA.
Year
DOI
Venue
2019
10.1109/TVT.2019.2891675
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Interference,Microcell networks,Adaptive systems,Base stations,Optimization,Receiving antennas,Resource management
Base station,Mathematical optimization,Computer science,Adaptive system,Iterative method,Electronic engineering,Integer programming,Interference (wave propagation),Linear programming,Small cell,Duplex (telecommunications)
Journal
Volume
Issue
ISSN
68
3
0018-9545
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Kan Wang100.68
Fei Yu25116335.58
Lei Wang3609.21
Junhuai Li43916.44
Nan Zhao51591123.85
Quansheng Guan613222.37
Bing Li710.93
Qiong Wu8375.89