TY - JOUR
T1 - Feedback overhead-aware clustering for interference alignment in multiuser interference networks
AU - Min, Byoung Yoon
AU - Kang, Heewon
AU - Cho, Sungyoon
AU - Jang, Jinyoung
AU - Kim, Dong Ku
N1 - Publisher Copyright:
© 2017 The Institute of Electronics, Information and Communication Engineers.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/2
Y1 - 2017/2
N2 - Interference alignment (IA) is a promising technology for eliminating interferences while it still achieves the optimal capacity scaling. However, in practical systems, the IA feasibility limit and the heavy signaling overhead obstructs employing IA to large-scale networks. In order to jointly consider these issues, we propose the feedback overhead-aware IA clustering algorithm which comprises two parts: Adaptive feedback resource assignment and dynamic IA clustering. Numerical results show that the proposed algorithm offers significant performance gains in comparison with conventional approaches.
AB - Interference alignment (IA) is a promising technology for eliminating interferences while it still achieves the optimal capacity scaling. However, in practical systems, the IA feasibility limit and the heavy signaling overhead obstructs employing IA to large-scale networks. In order to jointly consider these issues, we propose the feedback overhead-aware IA clustering algorithm which comprises two parts: Adaptive feedback resource assignment and dynamic IA clustering. Numerical results show that the proposed algorithm offers significant performance gains in comparison with conventional approaches.
UR - http://www.scopus.com/inward/record.url?scp=85011876483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85011876483&partnerID=8YFLogxK
U2 - 10.1587/transfun.E100.A.746
DO - 10.1587/transfun.E100.A.746
M3 - Article
AN - SCOPUS:85011876483
VL - E100A
SP - 746
EP - 750
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 2
ER -